SCS-C02 Sample Questions Answers

To implement host-based security for Amazon EC2 instances and containers in Amazon ECR with minimal operational overhead and ensure automatic deployment and scanning for new workloads, the recommended solution is to configure a delegated administrator for Amazon Inspector within the AWS Organizations structure. By enabling Amazon Inspector for the organization and configuring it to automatically scan new member accounts, the company can ensure that all EC2 instances and ECR containers are analyzed for software vulnerabilities and unintended network exposure. Amazon Inspector will automatically assess the workloads and push findings to AWS Security Hub, providing centralized security monitoring and compliance checking. This approach ensures that as new accounts orworkloads are added, they are automatically included in the security assessments, maintaining a consistent security posture across the organization with minimal manual intervention.

because these are the factors that could affect the outbound connection to the internet from a server in a private subnet. The outbound network ACL rules on the private subnet and both the inbound and outbound rules on the public subnet must allow the traffic to pass through8. The security group applied to the application load balancer and NAT gateway must also allow the traffic from the private subnet9. The 0.0.0.0/0 route in the private subnet route table must point to the NAT gateway in the public subnet, not the internet gateway10. The other options are either irrelevant or incorrect for troubleshooting the outbound connection issue.

Create an Account-Wide Data Protection Policy:

Use AWS CloudWatch Logs account-level data protection policies to prevent sensitive data exposure.

Define the policy with appropriate AWS managed data identifiers or custom identifiers specific to the company's sensitive data.

Apply the policy across all log groups in the account, ensuring coverage for both existing and future log groups.

Restrict Developer Access to Unmasked Data:

Explicitly deny thelogs:UnmaskIAM permission to developers. This prevents developers from accessing unmasked sensitive data in log entries.

Automatic Policy Application:

Account-wide data protection policies automatically apply to new log groups created in the future, ensuring scalability and compliance without manual intervention.

Testing and Verification:

Test the policy with sample log entries containing sensitive data to ensure proper masking.

Verify that developers can troubleshoot logs without exposing sensitive information.

AWS CloudWatch Logs Data Protection Documentation

AWS Identity and Access Management Permissions for CloudWatch Logs

Comprehensive Detailed Explanation with all AWS References

To resolve AccessDenied errors:

IAM Policy Validation:

Use IAM Access Analyzer to ensure that the policy attached to the role allows the necessary S3 actions (e.g., s3:GetObject).

Validate that the role is correctly assumed by the application.

To meet the requirements of importing their own key material, setting an expiration date on the keys, and deleting keys immediately, the security engineer should do the following:

Configure AWS KMS and use a custom key store. This allows the security engineer to use a key manager outside of AWS KMS that they own and manage, such as an AWS CloudHSM cluster or an external key manager.

Create a customer managed CMK with no key material. Import the company’s keys and key material into the CMK. This allows the security engineer to use their own key material for encryption and decryption operations, and to specify an expiration date for it.

Restrict Access Using S3 Bucket Policy:

Use theaws:SourceVpccondition key in the S3 bucket policy to ensure that requests are only allowed from the specified VPC ID.

Example Bucket Policy:

The following bucket policy ensures requests originate from the same VPC:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Principal": "*",

"Action": "s3:*",

"Resource": [

"arn:aws:s3:::example-bucket",

"arn:aws:s3:::example-bucket/*"

],

"Condition": {

"StringEquals": {

"aws:SourceVpc": "vpc-xxxxxxxx"

}

}

}

]

}

Advantages:

Prevents misuse of credentials in unauthorized VPCs.

Adds an additional layer of security by limiting S3 access to specific VPCs.

Test and Validate:

Verify that only requests from the allowed VPC can access the S3 bucket.

AWS S3 Bucket Policy Conditions

AWS Condition Keys for S3

The correct answer is B. Use data key caching. Use the local cache that the AWS Encryption SDK provides with a caching cryptographic materials manager.

This answer is correct because data key caching can improve performance, reduce cost, and help the company stay within the service limits of AWS KMS. Data key caching stores data keys and related cryptographic material in a cache, and reuses them for encryption and decryption operations. This reduces the number of requests to AWS KMSendpoints and avoids throttling.The AWS Encryption SDK provides a local cache and a caching cryptographic materials manager (caching CMM) that interacts with the cache and enforces security thresholds that the company can set1.

The other options are incorrect because:

A. Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization. Keyrings are used to generate, encrypt, and decrypt data keys, but they do not cache or reuse them.Using each keyring individually or combining them into a multi-keyring does not reduce the number of requests to AWS KMS endpoints2.

C. Using KMS key rotation does not address the problem of throttling or cost optimization. Key rotation is a security practice that creates new cryptographic material for a KMS key every year, but it does not affect the data that the KMS key protects.Key rotation does not reduce the number of requests to AWS KMS endpoints, and it might incur additional costs for storing multiple versions of key material3.

D. Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization, as explained in option A. Moreover, using any of the wrapping keys in the multi-keyring to decrypt the data is not a valid option, because only one of the wrapping keys can decrypt a given data key.The wrapping key that encrypts a data key is stored in the encrypted data key structure, andonly that wrapping key can decrypt it4.

The GuardDuty finding “IAMUser/InstanceCredentialExfiltration” indicates that temporary credentials from the instance metadata service have been stolen and used from an unusual location. The immediate priority is to revoke all existing IAM sessions for that instance profile to block the compromised credentials.

This is considered a critical containment action. IAM allows active session revocation, which invalidates credentials associated with a compromised instance profile.

This is explicitly covered under the Incident Response domain in the AWS Security Specialty study material, which emphasizes session revocation and credential rotation in response to exfiltration events.

The correct answer is B, D, and F. Designate an AWS account in an organization in AWS Organizations as a delegated administrator for Security Hub. Publish events to Amazon EventBridge from the delegated administrator account, all member accounts, and required Regions that are enabled for Security Hub findings. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis Data Firehose delivery stream. Configure the Kinesis Data Firehose delivery streams to deliver the logs to a single Amazon S3 bucket. Partition the Amazon S3 data. Use AWS Glue to crawl the S3 bucket andbuild the schema. Use Amazon Athena to query the data and create views to flatten nested attributes. Build Amazon QuickSight dashboards that use the Athena views.

According to the AWS documentation, AWS Security Hub is a service that provides you with a comprehensive view of your security state across your AWS accounts, and helps you check your environment against security standards and best practices. You can use Security Hub to aggregate security findings from various sources, such as AWS services, partner products, or your own applications.

To use Security Hub with multiple AWS accounts and Regions, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use Security Hub as a service principal for AWS Organizations, which lets you designate a delegated administrator account for Security Hub. The delegated administrator account can enable Security Hub automatically in all existing and future accounts in your organization, and can view and manage findings from all accounts.

According to the AWS documentation, Amazon EventBridge is a serverless event bus that makes it easy to connect applications using data from your own applications, integrated software as a service (SaaS) applications, and AWS services. You can use EventBridge to create rules that match events from various sources and route them to targets for processing.

To use EventBridge with Security Hub findings, you need to enable Security Hub as an event source in EventBridge. This will allow you to publish events from Security Hub to EventBridge in the same Region. You can then create EventBridge rules that match Security Hub findings based on criteria such as severity, type, or resource. You can also specify targets for your rules, such as Lambda functions, SNS topics, or Kinesis Data Firehose delivery streams.

According to the AWS documentation, Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. You can use Kinesis Data Firehose to transform and enrich your data before delivering it to your destination.

To use Kinesis Data Firehose with Security Hub findings, you need to create a Kinesis Data Firehose delivery stream in each Region where you have enabled Security Hub. You can then configure the delivery stream to receive events from EventBridge as a source, and deliver the logs to a single S3 bucket as a destination. You can also enable data transformation or compression on the delivery stream if needed.

According to the AWS documentation, Amazon S3 is an object storage service that offers scalability, data availability, security, and performance. You can use S3 to store and retrieve any amount of data from anywhere on the web. You can also use S3 features such as lifecycle management, encryption, versioning, and replication to optimize your storage.

To use S3 with Security Hub findings, you need to create an S3 bucket that will store the logs from Kinesis Data Firehose delivery streams. You can then partition the data in the bucket by using prefixes such as account ID or Region. This will improve the performance and cost-effectiveness of querying the data.

According to the AWS documentation, AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. You canuse Glue to crawl your data sources, identify data formats, and suggest schemas and transformations. You can also use Glue Data Catalog as a central metadata repository for your data assets.

To use Glue with Security Hub findings, you need to create a Glue crawler that will crawl the S3 bucket and build the schema for the data. The crawler will create tables in the Glue Data Catalog that you can query using standard SQL.

According to the AWS documentation, Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can use Athena with Glue Data Catalog as a metadata store for your tables.

To use Athena with Security Hub findings, you need to create views in Athena that will flatten nested attributes in the data. For example, you can create views that extract fields such as account ID, Region, resource type, resource ID, finding type, finding title, and finding description from the data. You can then query the views using SQL and join them with other tables if needed.

According to the AWS documentation, Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. You can use QuickSight to create and publish interactive dashboards that include machine learning insights. You can also use QuickSight to connect to various data sources, such as Athena, S3, or RDS.

To use QuickSight with Security Hub findings, you need to create QuickSight dashboards that use the Athena views as data sources. You can then visualize and analyze the findings using charts, graphs, maps, or tables. You can also apply filters, calculations, or aggregations to the data. You can then share the dashboards with your users or embed them in your applications.

The correct answer is B. Modify the network ACL that is associated with the CIDR range to allow outbound traffic to ephemeral ports.

This answer is correct because network ACLs are stateless, which means that they do not automatically allow return traffic for inbound connections. Therefore, the network ACL that is associated with the CIDR range of the new application must have outbound rules that allow traffic to ephemeral ports, which are the temporary ports used by the vendors’ machines to communicate with the application servers.Ephemeral ports are typically in the range of 1024-655351. If the network ACL does not have such rules, the vendors will not be able to connect to the application.

The other options are incorrect because:

A. Modifying the security group that is associated with the EC2 instances to have the same outbound rules as inbound rules is not a solution, because security groups are stateful, which means that they automatically allow return traffic for inbound connections.Therefore, there is no need to add outbound rules to the security group for the vendors to access the application2.

C. Modifying the inbound rules on the internet gateway to allow the required ports is not a solution, because internet gateways do not have inbound or outbound rules. Internet gateways are VPC components that enable communication between instances in a VPC and the internet.They do not filter traffic based on ports or protocols3.

D. Modifying the network ACL that is associated with the CIDR range to have the same outbound rules as inbound rules is not a solution, because it does not address the issue of ephemeral ports.The outbound rules of the network ACL must matchthe ephemeral port range of the vendors’ machines, not necessarily the inbound rules of the network ACL4.

Understand the Issue:

KMS grants are created using theCreateGrantoperation.

The grant might not propagate immediately for use, leading toAccessDeniedExceptionerrors.

Use Grant Tokens for Immediate Access:

When a grant is created, AWS KMS provides a grant token in the response.

This grant token can be used immediately, even before the grant is fully propagated.

Implement Solution:

Pass the grant token returned byCreateGrantto the users.

Ensure users include the grant token in their requests to encrypt data.

AWS KMS Grant Tokens Documentation

Troubleshooting KMS AccessDenied Errors

To improve the security at the edge of the solution to defend against a large, layer 7 DDoS attack, the security engineer should do the following:

Configure AWS WAF with a rate-based rule that imposes a rate limit that automatically blocks requests when the rate limit is exceeded. This allows the security engineer to use a rule that tracks the number of requests from a single IP address and blocks subsequent requests if they exceed a specified threshold within a specified time period.

To set up a CloudFront distribution for an S3 bucket that hosts a static website, and to allow only specified IP addresses to access the website, the following steps are required:

Create a CloudFront origin access identity (OAI), which is a special CloudFront user that you can associate with your distribution. An OAI allows you to restrict access to your S3 content by using signed URLs or signed cookies. For more information, see Using an origin access identity to restrict access to your Amazon S3 content.

Create the S3 bucket policy so that only the OAI has access. This will prevent users from accessing the website directly by using S3 URLs, as they will receive an Access Denied error. To do this, use the AWS Policy Generator to create a bucket policy that grants s3:GetObject permission to the OAI, and attach it to the S3 bucket. For more information, see Restricting access to Amazon S3 content by using an origin access identity.

Create an AWS WAF web ACL and add an IP set rule. AWS WAF is a web application firewall service that lets you control access to your web applications. An IP set is a condition that specifies a list of IP addresses or IP address ranges that requests originate from. You can use an IP set rule to allow or block requests based on the IP addresses of the requesters.For more information, see Working with IP match conditions.

Associate the web ACL with the CloudFront distribution. This will ensure that the web ACL filters all requests for your website before they reach your origin. You can do this by using the AWS WAF console, API, or CLI. For more information, see Associating or disassociating a web ACL with a CloudFront distribution.

This solution will meet the requirements of allowing only specified IP addresses to access the website and preventing direct access by using S3 URLs.

The other options are incorrect because they either do not create a CloudFront distribution for the S3 bucket (A), do not use an OAI to restrict access to the S3 bucket ©, or do not use AWS WAF to block traffic from outside the specified IP addresses (D).

Verified References:

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/private-content-restricting-access-to-s3.html

https://docs.aws.amazon.com/waf/latest/developerguide/web-acl-ip-conditions.html

Understand the Problem:

The EC2 instance profile role has the AWS managedReadOnlyAccesspolicy.

This policy does not include permissions forkms:Decrypt, which is required to decrypt the objects encrypted with a customer-managed KMS key.

Review S3 Bucket Policy and Object Permissions:

Verify that the S3 bucket policy allows access for the IAM role associated with the EC2 instance.

Ensure that there are no conflicting bucket or object ACLs.

Addkms:DecryptPermission:

Attach an inline policy to the EC2 instance IAM role.

This policy should grantkms:Decryptaccess for the specific KMS key used to encrypt the S3 objects.

Example Inline Policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": "kms:Decrypt",

"Resource": "arn:aws:kms:::key/"

}

]

}

Test the Configuration:

Attempt to read the file from the encrypted S3 bucket to ensure that the issue is resolved.

AWS KMS Key Policies and Permissions

IAM Permissions for Using AWS KMS Keys

The correct answer is D. Remove Amazon SES from the root SCP.

This answer is correct because the root SCP is the most restrictive policy that applies to all accounts in the organization. The root SCP explicitly denies access to Amazon SES by using the NotAction element, which means that any action that is not listed in the element is denied. Therefore, removing Amazon SES from the root SCP will allow the developers to access it, as long as there are no other SCPs or IAM policies that deny it.

The other options are incorrect because:

A.Adding a resource policy that allows each member of the group to access Amazon SES is not a solution, because resource policies are not supported by Amazon SES1.Resource policies are policies that are attached to AWS resources, suchas S3 buckets or SNS topics, to control access to those resources2. Amazon SES does not have any resources that can have resource policies attached to them.

B.Adding a resource policy that allows “Principal”: {“AWS”: “arn:aws:iam::account-number:group/Dev”} is not a solution, because resource policies do not support IAM groups asprincipals3.Principals are entities that can perform actions on AWS resources, such as IAM users, roles, or AWSaccounts4.IAM groups are not principals, but collections of IAM users that share the same permissions5.

C.Removing the AWS Control Tower control (guardrail) that restricts access to Amazon SES is not a solution, because AWS Control Tower does not have any guardrails that restrict access to Amazon SES6.Guardrails are high-level rules that govern the overall behavior of an organization’s accounts7.AWS Control Tower provides a set of predefined guardrails that cover security, compliance, and operations domains8.

The possible steps to troubleshoot this issue are:

A. Ensure that the EC2 instance profile that is attached to the EC2 instances has permissions to create log streams and write logs.This is a necessary step because the CloudWatch agent uses the credentialsfrom the instance profile to communicate with CloudWatch1.

C. Check the CloudWatch agent configuration file on each EC2 instance to make sure that the CloudWatch agent is collecting the proper log files.This is a necessary step because the CloudWatch agent needs to know which logfiles to monitor and send to CloudWatch2.

D. Check the VPC endpoint policies of both VPC endpoints to ensure that the EC2 instances have permissions to use them.This is a necessary step because the VPC endpoint policies control which principals can access the AWS services through the endpoints3.

The other options are incorrect because:

B. Creating a metric filter on the logs is not a troubleshooting step, but a way to extract metric data from the logs. Metric filters do not affect the visibility of the logs in the AWS Management Console.

E. Creating a NAT gateway in the subnet is not a solution, because the EC2 instances do not need internet access to communicate with CloudWatch through the VPC endpoints.A NAT gateway would also incur additional costs.

F. Ensuring that the security groups allow all the EC2 instances to communicate with each other is not a necessary step, because the CloudWatch agent does not require log aggregation before sending. Each EC2 instance can send its own logs independently to CloudWatch.

Option A is incorrect since you don't add a user to the IAM Role

Option C is incorrect since you don't assign multiple users to a policy

Option D is incorrect since this is not an ideal approach

An IAM group is used to collectively manage users who need the same set of permissions. By having groups, it becomes easier to manage permissions. So if you change the permissions on the group scale, it will affect all the users in that group

For more information on IAM Groups, just browse to the below URL:

https://docs.IAM.amazon.com/IAM/latest/UserGuide/id_eroups.html

The correct answer is: Use the IAM groups and add users, based upon their role, to different groups and apply the policy to group

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The best solution to meet the company's requirements of offering an alternative login method while securely protecting player credentials and reducing the burden of password resets is to use Amazon Cognito with user pools. Amazon Cognito provides a fully managed service that facilitates the authentication, authorization, and user management for web and mobile applications. By configuring Amazon Cognito user pools to federate access with third-party Identity Providers (IdPs), such as social media platforms or Google, the company can allow users to sign in through these external IdPs, thereby eliminating the need for traditional username and password logins. This not only enhances user convenience but also offloads the responsibility of managing user credentials and the associated challenges like password resets to Amazon Cognito, thereby reducing the burden on the company's customer service team. Additionally, Amazon Cognito integrates seamlessly with other AWS services and follows best practices for security and compliance, ensuring that the player's credentials are protected.

AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations.

To evaluate configuration changes to a specific AWS resource and ensure that it meets compliance standards, the security engineer should use AWS Config to detect the configuration changes and to record the latest configuration in case of multiple configuration changes. This will allow the security engineer to view the current state of the resource and its compliance status, as well as its configuration history and timeline.

AWS Config records configuration changes as ConfigurationItems, which are point-in-time snapshots of the resource’s attributes, relationships, and metadata. If multiple configuration changes occur within a short period of time, AWS Config records only the latest ConfigurationItem for that resource. This indicates the cumulative impact of the set of changes on the resource’s configuration.

This solution will meet the requirement in the most operationally efficient way, as it leverages AWS Config’s features to monitor, record, and evaluate resource configurations without requiring additional tools or services.

The other options are incorrect because they either do not record the latest configuration in case of multiple configuration changes (A, C), or do not use a valid service for evaluating resource configurations (D).

Verified References:

https://docs.aws.amazon.com/config/latest/developerguide/WhatIsConfig.html

https://docs.aws.amazon.com/config/latest/developerguide/config-item-table.html

The fastest way to identify the federated user who terminated a production Amazon EC2 instance is to filter the IAM CloudTrail event history for the TerminateInstances event and identify the assumed IAM role. Then, review the AssumeRoleWithSAML event call in CloudTrail to identify the corresponding username. This method does not require any additional tools or queries, and it directly links the IAM role with the federated user.

Option A is incorrect because the role session name may not be the same as the federated user name, and it may not be unique or descriptive enough to identify the user.

Option C is incorrect because the IAM Access Advisor tab only shows when a role was last accessed, not by whom or for what purpose. It also does not show the specific time of access, only the date.

Option D is incorrect because using Amazon Athena to run SQL queries on the IAM CloudTrail logs is not the fastest way to identify the federated user, as it requires creating a table schema and running multiple queries. It also assumes that the federation is done using web identity providers, not SAML providers, as indicated by the AssumeRoleWithWebIdentity event. References:

AWS Identity and Access Management

Logging AWS STS API Calls with AWS CloudTrail

[Using Amazon Athena to Query S3 Data for CloudTrail Analysis]

To quickly identify other compute resources with the specific version of the web framework installed, the team should do the following:

Scan all the EC2 instances with AWS Systems Manager to identify the vulnerable version of the web framework. This allows the team to use AWS Systems Manager Inventory to collect and query information about the software installed on their EC2 instances, and to filter the results by software name and version.

Establishing a VPC peering connection between the VPCs in Account A and Account B and updating route tables, network ACLs, and security groups to permit the necessary traffic ensures private connectivity for the application to write to the S3 bucket without traversing the public internet. This solution is efficient and maintains network security and integrity.

Comprehensive Detailed Explanation with all AWS References

To monitor EC2 instances for software vulnerabilities without installing agents and to display findings in AWS Security Hub,Amazon Inspectoris the most appropriate solution.

Amazon Inspector Overview:

Amazon Inspector is a vulnerability management service that automatically scans Amazon EC2 instances and container images in Amazon Elastic Container Registry (ECR) for known vulnerabilities.

It does not require agent installation as it integrates directly with EC2 metadata and uses network-based scanning.

The correct answer is C. Pull images from the public container registry. Publish the images to Amazon Elastic Container Registry (Amazon ECR) repositories with scan on push configured in a centralized AWS account. Use a CI/CD pipeline to deploy the images to different AWS accounts. Use repository policies and identity-based policies to restrict access to which IAM principals and accounts can access the images.

This solution meets the requirements because:

Amazon ECR is a fully managed container registry service that supports Docker and OCI images and artifacts1. It integrates with Amazon ECS and other AWS services to simplify the development and deployment of container-based applications.

Amazon ECR provides image scanning on push, which uses the Common Vulnerabilities and Exposures (CVEs) database from the open-source Clair project to detect software vulnerabilities in container images2.The scan results are available in the AWS Management Console, AWS CLI, orAWS SDKs2.

Amazon ECR supports cross-account access to repositories, whichallows sharing images across multiple AWS accounts3.This can be achieved by using repository policies, which are resource-based policies that specify which IAM principals and accounts can access the repositories and what actions they can perform4.Additionally, identity-based policies can be used to control which IAM roles in each account can access the repositories5.

The other options are incorrect because:

A. This option does not use repository policies to restrict cross-account access to the images, which is a requirement.Identity-based policies alone are not sufficient to control access to Amazon ECR repositories5.

B. This option does not use Amazon ECR, which is a fully managed service that provides image scanning and cross-account access features. Hosting a private container registry on EC2 instances would require more management overhead and additional security measures.

D.This option uses AWS CodeArtifact, which is a fully managed artifact repository service that supports Maven, npm, NuGet, PyPI, and generic package formats6. However, AWS CodeArtifact does not support Docker or OCI container images, which are required for Amazon ECS applications.

The correct answer is D.

To stop the data exfiltration from the compromised EC2 instances, the security engineer needs to implement a solution that can deny access to any S3 bucket that is outside thecompany’s organization. The solution should also allow the EC2 instances to access the required S3 buckets within the company’s organization for the analysis process.

Option A is incorrect because updating the policy on the S3 gateway endpoint will not affect the access to S3 buckets that are outside the company’s organization. The S3 gateway endpoint only applies to S3 buckets that are in the same AWS Region as the VPC. The compromised EC2 instances can still access S3 buckets in other Regions or other AWS accounts through the internet gateway or NAT device.

Option B is incorrect because updating the policy on the instance profile role will not prevent the compromised EC2 instances from using other credentials or methods to access S3 buckets outside the company’s organization. The instance profile role only applies to requests that are made using the credentials of that role. The compromised EC2 instances can still use other IAM users, roles, or access keys to access S3 buckets outside the company’s organization.

Option C is incorrect because adding a network ACL rule to block outgoing connections on port 443 will also block legitimate connections to S3 buckets within the company’s organization. The network ACL rule will prevent the EC2 instances from accessing any S3 bucket through HTTPS, regardless of whether it is inside or outside the company’s organization.

Option D is correct because applying an SCP on the AWS account will effectively deny access to any S3 bucket that is outside the company’s organization. The SCP will apply to all IAM users, roles, and resources in the AWS account, regardless of how they access S3. The SCP will use the aws:ResourceOrgID and aws:PrincipalOrgID condition keys to check whether the S3 bucket and the principal belong to the same organization as the AWS account. If they do not match, the SCP will deny the S3 actions.

The correct answer is B. Store the API key value in AWS Secrets Manager. In the template, replace all references to the value with {{resolve:secretsmanager:MySecretId:SecretString}}.

This answer is correct because AWS Secrets Manager is a service that helps you protect secrets that are needed to access your applications, services, and IT resources. You can store and manage secrets such as database credentials, API keys, and other sensitive data in Secrets Manager.You can also use Secrets Manager to rotate, manage, and retrieve your secrets throughout their lifecycle1.Secrets Manager integrates with AWS CloudFormation, which allows you to reference secrets fromyour templates using the {{resolve:secretsmanager:…}} syntax2. This way, you can avoid exposing your secrets in plaintext and still use them in your resources.

The other options are incorrect because:

A. Storing the API key value as a SecureString parameter in AWS Systems Manager Parameter Store is not a solution, because AWS CloudFormation does not support references to SecureString parameters.This means that you cannot use the {{resolve:ssm:…}} syntax to retrieve encrypted parameter values from Parameter Store3. You would have to use a custom resource or a Lambda function to decrypt the parameter value, which adds complexity and overhead to your template.

C. Storing the API key value in Amazon DynamoDB is not a solution, because AWS CloudFormation does not support references to DynamoDB items.This means that you cannot use the {{resolve:dynamodb:…}} syntax to retrieve item values fromDynamoDB tables4. You would have to use a custom resource or a Lambda function to query the DynamoDB table, which adds complexity and overhead to your template.

D. Storing the API key value in a new Amazon S3 bucket is not a solution, because AWS CloudFormation does not support references to S3 objects.This means that you cannot use the {{resolve:s3:…}} syntax to retrieve object values from S3 buckets5. You would have to use a custom resource or a Lambda functionto download the object from S3, which adds complexity and overhead to your template.

The combination of solutions that will meet the requirements are:

A. Create a local individual break glass IAM user for the security team. Create a trail in AWS CloudTrail that has Amazon CloudWatch Logs turned on. Use Amazon EventBridge to monitor local user activities. This is a valid solution because it allows the security team to access the workload AWS account and instances using a local IAM user that does not depend on SAML federation.It also enables logging and monitoring of the break glass user activities using AWS CloudTrail, Amazon CloudWatch Logs, and Amazon EventBridge123.

E. Configure AWS Systems Manager Session Manager for Amazon EC2. Configure an AWS CloudTrail filter based on Session Manager. Send the results to an Amazon Simple Notification Service (Amazon SNS) topic. This is a valid solution because it allows the security team to access the workload instances without opening any inbound ports or managing SSH keys or bastion hosts.It also enables logging and notification of the breakglass user activities using AWS CloudTrail, Session Manager, and Amazon SNS456.

The other options are incorrect because:

B.Creating a break glass EC2 key pair for the AWS account and providing it to the security team is not a valid solution, because it requires opening inbound ports on the instances and managing SSH keys, which increases the security risk and complexity7.

C.Creating a break glass IAM role for the account and allowing security team members to perform the AssumeRoleWithSAML operation is not a valid solution, because it still dependson SAML federation, which might not work in case of SAML errors8.

D.Creating a local individual break glass IAM user on the operating system level of each workload instance and configuring unrestricted security groups on theinstances to grant access to the break glass IAM users is not a valid solution,because it requires opening inbound ports on the instances and managing multiple local users, which increases the security risk and complexity9.

Comprehensive Detailed Explanation with all AWS References

To automate response to overly permissive IAM policies:

Step Functions State Machine (A):

Use Step Functions to orchestrate remediation by adding Deny statements to policies.

Publish findings to an SNS topic for notification.

The steps that the Security Engineer should take to check for known vulnerabilities and limit the attack surface are:

B. Review the application security groups to ensure that only the necessary ports are open. This is a good practice to reduce the exposure of the EC2 instances to potential attacks from the Internet.Application security groups are a feature of Azure that allow you to group virtual machines and define network security policies based on those groups1.

D. Use Amazon Inspector to periodically scan the backend instances. This is a service that helps you to identify vulnerabilities and exposures in your EC2 instances and applications.Amazon Inspector can perform automated security assessments based on predefined or custom rules packages2.

This answer is correct because ensuring that the security groups allow bidirectional communication between the Lambda function and the EC2 instance will resolve the error. The error indicates that the Lambda function cannot connect to the database, which might be due to firewall rules blocking the traffic. By allowing outbound connections from the Lambda function and inbound connections to the EC2 instance, the security engineer can enable the rotation function to access and update the database credentials.

CloudHSM allows full control of your keys such including Symmetric (AES), Asymmetric (RSA), Sha-256, SHA 512, Hash Based, Digital Signatures (RSA). On the other hand, AWS Key Management Service is a multi-tenant key storage that is owned and managed byAWS1.

To configure end-to-end encryption between the Elastic Load Balancer and the EC2 instances with the least operational effort, the most appropriate solution would be to use Amazon issued AWS Certificate Manager (ACM) certificates on the EC2 instances and the Elastic Load Balancer to configure end-to-end encryption.

 AWS Certificate Manager - Amazon Web Services : Elastic Load Balancing - Amazon Web Services : Amazon Elastic Compute Cloud - Amazon Web Services : AWS Certificate Manager - Amazon Web Services

these are the steps that can meet the requirements in the most secure manner. CloudTrail is a service that records AWS API calls and delivers log files to an S3 bucket. Turning on CloudTrail in each IAM account can help capture all IAM API calls made within those accounts. Updating the bucket policy of the bucket in the account that will be storing the logs can help grant other accounts permission to write log files to that bucket. The other options are either unnecessary or insecure for logging and analyzing IAM API calls.

"When you create an Amazon GuardDuty filter, you choose specific filter criteria, name the filter and can enable the auto-archiving of findings that the filter matches. This allows you to further tune GuardDuty to your unique environment, without degrading the ability to identify threats. With auto-archive set, all findings are still generated by GuardDuty, so you have a complete and immutable history of all suspicious activity."

Adjusting the IAM policy attached to the IAM role used by EC2 instances to include the necessary AWS Logs API actions for publishing logs to CloudWatch Logs addresses the issue. This ensures that the EC2 instances have the required permissions to interact with CloudWatch Logs, facilitating the successful publication of logs from the instances.

For increased security while ensuring functionality, adjusting NACL3 to allow inbound traffic on port 5432 from the CIDR blocks of the application instance subnets, and allowing outbound traffic on ephemeral ports (1024-65536) back to those subnets creates a secure path for database access. Removing default allow-all rules enhances security by implementing the principle of least privilege, ensuring that only necessary traffic is permitted.

The requirement is to remediate both existing and future noncompliant S3 buckets across multiple accounts and Regions in an AWS Organizations structure.

AWS Config Aggregator with organization-wide aggregation ensures that all accounts and Regions are continuously monitored for compliance.

By integrating a Lambda function with AWS Config rules, you can automatically remediate noncompliant resources (e.g., by applying encryption settings or blocking public access).

This solution provides both visibility and automated enforcement across the entire organization.

Options using SCPs (B and D) only prevent future actions and do not remediate existing noncompliant resources. Furthermore, scoping the aggregator to only some accounts/Regions (as in C and D) fails to meet the requirement for organization-wide remediation.

This approach aligns with Data Protection and Governance best practices in the AWS Certified Security – Specialty guidelines.

Amazon Security Lake, when configured with a delegated administrator account in AWS Organizations, provides a centralized solution for aggregating, organizing, and prioritizing security data from multiple sources including AWS services, AWS Marketplace solutions, and on-premises systems. By enabling Security Lake for the organization and adding the necessary AWS accounts, the solution centralizes the collection and analysis of log data. This setup leverages the organization's structure to streamline log aggregation and normalization, making it an efficient solution for the specified requirements. The use of Amazon Athena for querying the log data further enhances the ability to analyze and respond to security findings across the organization.

The correct answer is B and E. To troubleshoot the issue, the security engineer should verify that the SQS resource policy does not explicitly deny access to the role used by the instances, and that the role attached to the instances contains policies that allow access to the queue. These actions will ensure that the instances have the necessary permissions to retrieve messages from Amazon SQS, while maintaining the principle of least privilege.

The other options are incorrect because they are either unnecessary or overly permissive. Option A is incorrect because configuring and assigning an MFA device to the role used by the instances is not required to access Amazon SQS. MFA is an optional security feature that adds an extra layer ofprotection on top of the user name and password1. Option C is incorrect because verifying that the access key attached to the role used by the instances is active is not relevant to the issue. Access keys are used to make programmatic requests to AWS services, not to retrieve messages from Amazon SQS2. Option D is incorrect because attaching the AmazonSQSFullAccess managed policy to the role used by the instances is overly permissive and violates the principle of least privilege. This policy grants full access to all Amazon SQS actions and resources, which may expose the instances to unnecessary risks3.

because this is a solution that can monitor each S3 bucket for unrestricted public write access and use IAM managed services. S3 is a service that provides object storage in the cloud. Systems Manager is a service that helps you automate and manage your AWS resources. You can use Systems Manager to monitor S3 bucket policies for public write access by using a State Manager association that runs a predefined document called AWS-FindS3BucketWithPublicWriteAccess. This document checks each S3 bucket in an account and reports any bucket that has public write access enabled. The other options are either not suitable or not feasible for meeting the requirements.

Collect Operating System Logs:

Install the Amazon CloudWatch agent on the bastion hosts to collect logs, including failed login attempts from/var/log/auth.logor equivalent files.

Create a Metric Filter:

Use CloudWatch Logs to create a metric filter for failed login attempts by identifying log patterns (e.g.,Failed password).

Set Up a CloudWatch Alarm:

Define an alarm in CloudWatch to trigger when the metric exceeds a threshold of 5 failed attempts within a 5-minute period.

Configure SNS for Notifications:

Use Amazon SNS to send alerts to system administrators.

Use SNS message filtering to ensure only the designated administrator for the specific bastion host receives the notification.

Monitoring CloudWatch Logs

SNS Message Filtering

To implement the solution, the security engineer should do the following:

Assign an Elastic IP address to Amazon EFS and add the Elastic IP address to the allow list for the data center firewall. This allows the security engineer to use a specific IP address for the EFS file system that can be added to the firewall rules, instead of a CIDR range or a URL.

Install the AWS CLI on the data center-based servers to mount the EFS file system. This allows the security engineer to use the mount helper provided by AWS CLI to mount the EFS file system with encryption in transit.

In the EFS security group, add the IP addresses of the data center servers to the allow list. This allows the security engineer to restrict access to the EFS file system to only certain data center-based servers.

Mount the EFS using the Elastic IP address. This allows the security engineer to use the Elastic IP address as the DNS name for mounting the EFS file system.

B. ENI security groups: Even if the security group configuration appears correct at a general level, a specific Elastic Network Interface (ENI) attached to the EC2 instance may not have the intended security group applied, which can block traffic.

D. ALB target registration: If the web server is not properly registered with the ALB or marked as unhealthy, traffic will not be routed to it, even if everything else is configured correctly.

These items are commonly overlooked and are vital to verify when troubleshooting EC2 connectivity behind load balancers in complex architectures with virtual appliances and routing layers. This is covered under Infrastructure Security.

To prevent developers from configuring unauthenticated Lambda function URLs, the most effective approach is to use Service Control Policies (SCPs) at the organizational level. By explicitly denying actions such as lambda:CreateFunctionUrlConfig and lambda:UpdateFunctionUrlConfig when the lambda:FunctionUrlAuthType is set to NONE, the organization ensures that only authenticated function URLs are deployed in production.

This method imposes no additional workload on developers and leverages AWS Organizations' SCPs to enforce centralized security policy — a recommended practice in the Identity and Access Management domain.

This solution ensures that the Lambda functions are deployed inside the VPC and can communicate with the Amazon RDS DB instance securely. The security group attached to the Lambda functions only allows outbound traffic to the VPC CIDR range, and the DB instance security group only allows traffic from the Lambda security group. This solution ensures that the Lambda functions can communicate with the DB instance securely and that the DB instance is not exposed to the public internet.

what the Security Engineer should do to block the malicious bot. SFTP is a protocol that allows secure file transfer over SSH. EC2 is a service that provides virtual servers in the cloud. A public subnet is a subnet that has a route to an internet gateway, which allows it to communicate with the internet. A brute force attack is a type of attack that tries to guess passwords or keys by trying many possible combinations. A malicious bot is a software program that performs automated tasks for malicious purposes. Route 53 is a service that provides DNS resolution and domain name registration. A DNS sinkhole is a technique that redirects malicious or unwanted traffic to a different destination, such as a black hole server or a honeypot. By modifying the hosted zone in Route 53 and creating a DNS sinkhole for the malicious IP, the Security Engineer can block the malicious bot from reaching the EC2 instance on the public subnet. The other options are either ineffective or inappropriate for blocking the malicious bot.

To avoid AccessDeniedExceptions when users first attempt to encrypt using the CMK, the security specialist should recommend the following solution:

Instruct the engineering team to pass the grant token returned in the CreateGrant response to users. This allows the engineering team to use the grant token as a form of temporary authorization for the grant.

Instruct users to use that grant token in their call to encrypt. This allows the users to use the grant token as a proof that they have permission to use the CMK, and to avoid any eventual consistency issues with the grant creation.

Amazon OpenSearch Service provides near real-time log ingestion and indexing, full-text search, and analytics capabilities. Using the Security Analytics feature, you can define detection rules and configure alerts based on log patterns or threat indicators. These alerts can be routed to Amazon SNS topics for notification and automation workflows.

This meets the requirements for:

Near real-time log ingestion and search

Rule-based detection and alerting

Integration with SNS for notifications

This solution aligns with best practices under the Logging and Monitoring domain in the AWS Certified Security – Specialty curriculum.

KMS grants are lightweight and efficient tools designed specifically for programmatic, temporary, or high-volume delegation of KMS key usage. They are ideal when access needs to be rotated or updated frequently—such as weekly changes in vendors.

KMS grants allow you to control access without changing the key policy itself. They can be easily created and revoked programmatically, which minimizes operational overhead compared to editing key or IAM policies.

This approach aligns with Identity and Access Management best practices in the AWS Certified Security – Specialty study guide for scalable cross-account key access management.

You can use IAM CloudTrail to get a history of IAM API calls and related events for your account. This history includes calls made with the IAM Management Console, IAM Command Line Interface, IAM SDKs, and other IAM services.

Options A,B and D are invalid becau56se you need to ensure that you use the services of CloudTrail, IAM Config, IAM Credential Reports

For more information on Cloudtrail, please visit the below URL:

http://docs.IAM.amazon.com/IAMcloudtrail/latest/userguide/cloudtrail-user-guide.html

IAM Config is a service that enables you to assess, audit and evaluate the configurations of your IAM resources. Config continuously monitors and records your IAM resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With Config, you can review changes in configurations and relationships between IAM resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines. This enables you to simplify compliance auditing, security analysis, char management and operational troubleshooting.

For more information on the config service, please visit the below URL

https://IAM.amazon.com/config/

You can generate and download a credential report that lists all users in your account and the status of their various credentials, including passwords, access keys, and MFA devices. You can get a credential report from the IAM Management Console, the IAM SDKs and Command Line Tools, or the IAM API.

For more information on Credentials Report, please visit the below URL:

http://docs.IAM.amazon.com/IAM/latest/UserGuide/id credentials_getting-report.html

The correct answer is: CloudTrail, IAM Config, IAM Credential Reports Submit your Feedback/Queries to our Experts

Create an AWS WAF Web ACL:

Use AWS WAF to create a web ACL for the CloudFront distribution.

Add Managed Rules for Bot Protection:

Include theAWSManagedRulesACFPRuleSetto protect against automated bots and account fraud.

Add a Rate-Based Rule:

Implement a rate limit rule to restrict the number of requests to/store/registrationduring promotions.

Example rule: Deny requests exceeding 100 per minute.

Associate the Web ACL with CloudFront:

Attach the web ACL to the CloudFront distribution to enforce the rules globally at edge locations.

Advantages:

Prevents Fraudulent Activity: Detects and mitigates bot activity.

Scalable: Operates at the CloudFront level, ensuring global protection.

AWS WAF Managed Rules

Rate-Based Rules in WAF

https://aws.amazon.com/blogs/security/how-to-use-bucket-policies-and-apply-defense-in-depth-to-help-secure-your-amazon-s3-data/

Amazon EC2 Systems Manager is a service that helps you automatically collect software inventory, apply OS patches, create system images, and configure Windows and Linux operating systems3. You can use Systems Manager to report on instance patch compliance and enforce updates during the defined maintenance windows4. The other options are either inefficient or not feasible for achieving the goals.

To allow a Lambda function in one AWS account to access a KMS customer managed key in another AWS account, the following steps are required:

Configure the key policy for the customer managed key in the production account to allow access to the IAM role of the Lambda function in the development account. A key policy is a resource-based policy that defines who can use or manage a KMS key. To grant cross-account access to a KMS key, you must specify the AWS account ID and the IAM role ARN of the external principal in the key policy statement. For more information, see Allowing users in other accounts to use a KMS key.

Configure the IAM role for the Lambda function in the development account by attaching an IAM policy that allows access to the customer managed key in the production account. An IAM policy is an identity-based policy that defines what actions an IAM entity can perform on which resources. To allow an IAM role to use a KMS key in another account, you must specify the KMS key ARN and the kms:Encrypt action (or any other action that requires access to the KMS key) in the IAM policy statement. For more information, see Using IAM policies with AWS KMS.

This solution will meet the requirements of allowing secure access to a KMS customermanaged key across AWS accounts.

The other options are incorrect because they either do not grant cross-account access to the KMS key (A, C), or do not use a valid policy type for KMS keys (D).

Verified References:

https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html

https://docs.aws.amazon.com/kms/latest/developerguide/iam-policies.html

For Enable Geo-Restriction, choose Yes. For Restriction Type, choose Whitelist to allow access to certain countries, or choose Blacklist to block access from certain countries.https://IAM.amazon.com/premiumsupport/knowledge-center/cloudfront-geo-restriction/

https://awscli.amazonaws.com/v2/documentation/api/latest/reference/kms/import-key-material.html

aws kms import-key-material \

--key-id 1234abcd-12ab-34cd-56ef-1234567890ab \

--encrypted-key-material fileb://EncryptedKeyMaterial.bin \

--import-token fileb://ImportToken.bin \

--expiration-model KEY_MATERIAL_EXPIRES \

--valid-to 2021-09-21T19:00:00Z

The correct answer is A. A customer managed CMK that uses customer provided key material.

A customer managed CMK is a KMS key that you create, own, and manage in your AWS account. You have full control over the key configuration, permissions, rotation, and deletion.You can use a customer managed CMK to encrypt and decrypt data in AWS services that are integrated with AWS KMS, such as Amazon EBS1.

A customer managed CMK can use either AWS provided key material or customer provided key material. AWS provided key material is generated by AWS KMS and never leaves the service unencrypted. Customer provided key material is generated outside of AWS KMS and imported into a customer managed CMK.You can specify an expiration date for the imported key material, after which the CMK becomes unusable until you reimport new key material2.

To meet the criteria of automatically expiring the key material in 90 days, you need to use customer provided key material and set the expiration date accordingly. This way, you can ensure that the data encrypted with the CMK will not be accessible after 90 days unless you reimport new key material and re-encrypt the data.

The other options are incorrect for the following reasons:

B. A customer managed CMK that uses AWS provided key material does not expire automatically. You can enable automatic rotation of the key material every year, but this does not prevent access to the data encrypted with the previous key material.You would need to manually delete the CMK and its backing key material to make the data inaccessible3.

C. An AWS managed CMK is a KMS key that is created, owned, and managed by an AWS service on your behalf. You have limited control over the key configuration, permissions, rotation, and deletion. You cannot use an AWS managed CMK to encrypt data in other AWS services or applications.You also cannot set an expiration date for the key material of an AWS managed CMK4.

D. Operation system-native encryption that uses GnuPG is not a solution that uses AWS KMS. GnuPG is a command line tool that implements the OpenPGP standard for encrypting and signing data. It does not integrate with Amazon EBS or other AWS services.It also does not provide a way toautomatically expire the key material used for encryption5.

Open the AWS Systems Manager console at https://console.aws.amazon.com/systems-manager/. In the navigation pane, choose Session Manager. Choose the Preferences tab, and then choose Edit. Select the check box next to Enable under S3 logging. (Recommended) Select the check box next to Allow only encrypted S3 buckets. With this option turned on, log data is encrypted using the server-side encryption key specified for the bucket. If you don 't want to encrypt the log data that is sent to Amazon S3, clear the check box. You must also clear the check box if encryption isn't allowed on the S3 bucket.

The correct answer is A because it allows the security engineer to add the X-Frame-Options header to the HTTPS responses from the application origin without modifying the origin itself. A Lambda@Edge function is a Lambda function that runs in response to CloudFront events, such as viewer request, origin request, origin response, or viewer response. By configuring the function to runin response to the origin response event, the security engineer can modify the response headers that CloudFront receives from the origin before sending them to the viewer1. The function can include code to add the X-Frame-Options header with the desired value, suchas DENY or SAMEORIGIN, to prevent frame-related cross-site scripting attacks2.

The other options are incorrect because they are either less efficient or less secure than option A. Option B is incorrect because configuring the Lambda@Edge function to run in response to the viewer request event is not optimal, as it adds latency to the request processing and does not modify the response headers that CloudFront receives from the origin. Option C is incorrect because adding X-Frame-Options to custom headers in the origin settings does not affect the response headers that CloudFront sends to the viewer. Custom headers are only used to send additional information to the origin when CloudFront forwards a request3. Option D is incorrect because customizing the EC2 hosted application to add the X-Frame-Options header to the responses requires changing the origin code, which may not be feasible or desirable for the security engineer.

Enable GuardDuty:

GuardDuty provides monitoring for EKS clusters by analyzing EKS audit logs.

Automatic Configuration:

No additional setup for the EKS deployment is needed. GuardDuty directly monitors API calls to detect suspicious or unauthenticated access.

Advantages:

Minimal Effort: No operational overhead for configuration.

Proactive Detection: Alerts for unauthorized or suspicious activity in near-real-time.

Amazon GuardDuty for EKS

EKS Audit Log Monitoring

To ensure that IAM users in Account B can only assume a role in Account A if they are authenticated with Multi-Factor Authentication (MFA), the recommended solution is to add anaws:MultiFactorAuthPresentcondition to the role's trust policy in Account A. The trust policy defines which principals (users, applications, services) can assume the role and under what conditions. By adding theaws:MultiFactorAuthPresentcondition, the policy explicitly requires MFA to be present for the assume role action to succeed. This ensures that only authenticated users with MFA can assume the role, enhancing the security posture with minimal operational overhead and without modifying permissions or session policies, which could affect the role's intended capabilities.

https://docs.aws.amazon.com/AmazonS3/latest/userguide/example-bucket-policies-vpc-endpoint.html

https://docs.IAM.amazon.com/kms/latest/developerguide/services-parameter-store.html#parameter-store-cmk-fail

The correct answer is B. Instruct users to run the aws sts get-session-token CLI command and pass the multi-factor authentication --serial-number and --token-code parameters. Use these resulting values to make API/CLI calls.

According to the AWS documentation1, the aws sts get-session-token CLI command returns a set of temporary credentials for an AWS account or IAM user. The credentials consist of an access key ID, a secret access key, and a security token. These credentials are valid for the specified duration only. The session duration for IAM users can be between 15 minutes and 36 hours, with a default of 12 hours.

You can use the --serial-number and --token-code parameters to provide the MFA device serial number and the MFA code from the device. The MFA device must be associated with the user who is making the get-session-token call. If you do not provide these parameters when your IAM user or role has a policy that requires MFA, you will receive an Access Denied error.

The temporary security credentials that are returned by the get-session-token command can then be used to make subsequent API or CLI calls that require MFA authentication. You can use environment variables or a profile in your AWS CLI configuration file to specify the temporary credentials.

Therefore, this solution will resolve the problem of users being unable to perform EC2 commands using the AWS CLI, while still enforcing MFA.

The other options are incorrect because:

A. Changing the value of aws:MultiFactorAuthPresent to true will not work, because this is a condition key that is evaluated by AWS when a request is made. You cannot set this value manually in your policy or request. You must provide valid MFA information to AWS for this condition key to be true.

C. Implementing federated API/CLI access using SAML 2.0 may work, but it requires more operational effort than using the get-session-token command. You would need to configure a SAML identity provider and trust relationship with AWS, and use a custom SAML client to request temporary credentials from AWS STS. This solution may also introduce additional security risks if the identity provider is compromised.

D. Creating a role and enforcing MFA in the role trust policy may work, but it also requires more operational effort than using the get-session-token command. You would need to create a role for each user or group that needs to perform EC2 commands, and specify a trust policy that requires MFA. You would also need to grant the users permission to assume the role, and instruct them to use the sts assume-role command instead of the get-session-token command.

Comprehensive Detailed Explanation with all AWS References

To provide a single management portal for access and integrate with an external IdP for SSO,AWS IAM Identity Center(formerly AWS Single Sign-On) is the best solution:

AWS IAM Identity Center:

IAM Identity Center enables centralized management of access to AWS accounts within an organization.

Supports external IdPs (e.g., Okta, Azure AD) using SAML 2.0 for workforce SSO.

This solution meets the requirement of recovering the EC2 instances if the AWS account is compromised and the EBS snapshots are deleted. By creating a new AWS account with limited privileges, the company can isolate the backup snapshots from the main account and reduce the risk of accidental or malicious deletion. By allowing the new account to access the KMS key that encrypts the EBS snapshots, the company can ensure that the snapshots are copied in an encrypted form and can be decrypted when needed. By copying the encrypted snapshots to the new account on a recurring basis, the company can maintain a consistent backup schedule and minimize data loss.

The below diagram from an IAM blog shows how security groups can be monitored

C:\Users\wk\Desktop\mudassar\Untitled.jpg

Option A is invalid because you need to use Cloudwatch Events to check for chan,

Option B is invalid because you need to use Cloudwatch Events to check for chang

Option C is invalid because IAM inspector is not used to monitor the activity on Security Groups

For more information on monitoring security groups, please visit the below URL:

Ihttpsy/IAM.amazon.com/blogs/security/how-to-automatically-revert-and-receive-notifications-about-changes-to-your-amazonj 'pc-security-groups/

The correct answer is: Use Cloudwatch events to be triggered for any changes to the Security Groups. Configure the Lambda function for email notification as well.

Submit your Feedback/Queries to our Experts

Enable Amazon Macie:

Amazon Macie automatically scans S3 buckets for sensitive data, such as PII, and uses managed data identifiers for efficient classification.

Configure Data Identifiers:

Use managed data identifiers for pre-configured sensitive data patterns like credit card numbers, personal information, etc.

Set Up Notifications:

Create an Amazon EventBridge rule to trigger on Macie findings.

Configure the rule to send notifications to the existing SNS topic.

Advantages:

Automated: Minimal manual intervention needed.

Efficient: Leverages Macie’s built-in capabilities to reduce implementation effort.

Amazon Macie Documentation

EventBridge Rules for Macie

this is the simplest change that can address the server issue. CloudFront is a service that provides a global network of edge locations that cache and deliver web content. Creating a CloudFront distribution and configuring the ALB as the origin can help reduce the load on the Tomcat server by serving cached content to the end users. CloudFront can also provide protection against distributed denial-of-service (DDoS) attacks by filtering malicious traffic at the edge locations. The other options are either ineffective or complex for solving the server issue.

To meet the requirement of changing the key material for new files whenever a potential key breach occurs, the most appropriate solution would be to create a new customer managed key, add a key rotation schedule to the key, and invoke the key rotation schedule every time the security team requests a key change.

Amazon GuardDuty provides intelligent threat detection and continuous monitoring for malicious or unauthorized behavior to protect AWS accounts and workloads. It satisfies the requirement for monitoring endpoints for anomalous network traffic.

AWS Certificate Manager (ACM) simplifies the process of provisioning, managing, and deploying SSL/TLS certificates. Configuring ELB with ACM ensures encryption in transit.

AWS KMS with S3 bucket policy using x-amz-server-side-encryption ensures that S3 objects are encrypted at rest using managed keys. Denying uploads that do not use SSE with a bucket policy enforces encryption at rest.

These three actions together satisfy the stated security requirements with minimal operational overhead.

The key length for an RSA certificate that you use with CloudFront is 2048 bits, even though ACM supports larger keys. If you use an imported certificate with CloudFront, your key length must be 1024 or 2048 bits and cannot exceed 2048 bits. You must import the certificate in the US East (N. Virginia) Region. You must have permission to use and importthe SSL/TLS certificate

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/cnames-and-https-requirements.html

Options A and B are incorrect since you need to add an inline policy just for the user

Option C is invalid because you don't assign an IAM role to a user

The IAM Documentation mentions the following

An inline policy is a policy that's embedded in a principal entity (a user, group, or role)—that is, the policy is an inherent part of the principal entity. You can create a policy and embed it in a principal entity, either when you create the principal entity or later.

For more information on IAM Access and Inline policies, just browse to the below URL:

https://docs.IAM.amazon.com/IAM/latest/UserGuide/access

The correct answer is: Add an inline policy for the user Submit your Feedback/Queries to our Experts

By disabling SSL termination, you are leaving an unsecure connection from the ELB to the back end instances. Hence this means that part of the data transit is not being encrypted.

Option B is incorrect because this would not guarantee complete encryption of data in transit

Option C and D are incorrect because these would not guarantee encryption

For more information on SSL Listeners for your load balancer, please visit the below URL:

http://docs.IAM.amazon.com/elasticloadbalancine/latest/classic/elb-https-load-balancers.htmll

The correct answer is: Use S3 SSE and use SSL for data in transit

Submit your Feedback/Queries to our Experts

these are the solutions that can securely rotate the secrets for the production RDS database using Secrets Manager. Secrets Manager is a service that helps you manage secrets such as database credentials, API keys, and passwords. You can use Secrets Manager to rotate secrets automatically by using a Lambda function that runs on a schedule. The Lambda function needs to have access to both the RDS instance and the Secrets Manager service. Option B places the RDS instance in a private subnet and the Lambda function in the same VPC in another private subnet. The private subnet with the Lambda function needs to use a NAT gateway to access Secrets Manager over the internet. Option E places the RDS instance and the Lambda function in the same private subnet and configures a Secrets Manager interface endpoint, which is a private connection between the VPC and Secrets Manager. The other options are either insecure or incorrect for rotating secrets using Secrets Manager.

Understand IMDSv2 Metrics:

IMDSv2 adds a layer of security to EC2 instance metadata by requiring a session token.

TheEC2MetadataNoTokenCloudWatch metric tracks the number of calls to IMDSv1.

Enable the IMDS Metrics:

Ensure that the EC2 instances have theDetailed Monitoringfeature enabled to publish metrics to CloudWatch.

Create a CloudWatch Dashboard:

In the CloudWatch console, create a dashboard that displays theEC2MetadataNoTokenmetric for all instances.

Verify Zero Value:

Monitor theEC2MetadataNoTokenmetric. If the value is zero for all instances, it confirms that IMDSv1 is no longer in use.

Secure Access and Validation:

Regularly monitor the dashboard to ensure no instance reverts to using IMDSv1.

Instance Metadata Service (IMDS) Documentation

CloudWatch Metrics for EC2 Instances

AWS Security Best Practices for Metadata Service

The most operationally efficient solution to implement a near-real-time monitoring and alerting solution that will notify administrators of security group violations is to use the restricted-ssh AWS Config managed rule that is invoked by security group configuration changes that are not compliant. This rule checks whether security groups that are in use have inbound rules that allow unrestricted SSH traffic. If a violation is detected, AWS Config can use the remediation feature to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Option A is incorrect because creating a recurring Amazon Inspector assessment run that uses the Network Reachability package is not operationally efficient, as it requires setting up an assessment target and template, running the assessment every day, and invoking a Lambda function to retrieve and evaluate the assessment report. It also does not provide near-real-time monitoring and alerting, as it depends on the frequency and duration of the assessment run.

Option C is incorrect because configuring VPC Flow Logs for the VPC and specifying an Amazon CloudWatch Logs group is not operationally efficient, as it requires creating a log group and stream, enabling VPC Flow Logs for each subnet or network interface, and subscribing a Lambda function to parse and analyze the log entries. It also does not provide proactive monitoring and alerting, as it only detects successful connections on port 22 after they have occurred.

Option D is incorrect because creating a recurring Amazon Inspector assessment run that uses the Security Best Practices package is not operationally efficient, for the same reasons as option A. It also does not provide specific monitoring and alerting for security group violations, as it covers a broader range of security issues. References:

[AWS Config Rules]

[AWS Config Remediation]

[Amazon Inspector]

[VPC Flow Logs]

To migrate the static website to AWS and meet the requirements, the following steps are required:

Migrate the website to Amazon S3, which is a highly scalable and durable object storage service that can host static websites. To do this, create an S3 bucket with the same name as the domain name of the website, enable static website hosting for the bucket, upload the website files to the bucket, and configure the bucket policy to allow public read access to the objects. For more information, see Hosting a static website on Amazon S3.

Import a public SSL certificate that is created by AWS Certificate Manager (ACM) to Amazon CloudFront, which is a global content delivery network (CDN) service that can improve the performance and security of web applications. To do this, request or import a public SSL certificate for the domain name of the website using ACM, create a CloudFront distribution with the S3 bucket as the origin, and associate the SSL certificate with the distribution. For more information, see Using alternate domain names and HTTPS.

Configure CloudFront to block traffic from outside the US, which is one of the requirements. To do this, create a CloudFront web ACL using AWS WAF, which is a web application firewall service that lets you control access to your web applications. In the web ACL, create a rule that uses a geo match condition to block requests that originate from countries other than the US. Associate the web ACL with the CloudFront distribution. For more information, see How AWS WAF works with Amazon CloudFront features.

Migrate DNS to Amazon Route 53, which is a highly available and scalable cloud DNS service that can route traffic to various AWS services. To do this, register or transfer your domain name to Route 53, create a hosted zone for your domain name, and create an alias record that points your domain name to your CloudFront distribution. For more information, see Routing traffic to an Amazon CloudFront web distribution by using your domain name.

The other options are incorrect because they either do not implement SSL/TLS encryption for the website (A), do not use managed services whenever possible (B), or do not block IP addresses from outside the US ©.

Verified References:

https://docs.aws.amazon.com/AmazonS3/latest/userguide/HostingWebsiteOnS3Setup.html

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-alternate-domain-names.html

https://docs.aws.amazon.com/waf/latest/developerguide/waf-cloudfront.html

https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-to-cloudfront-distribution.html

because these are the features that can address the CISO’s concerns about cryptographic wear-out and blast radius. Cryptographic wear-out is a phenomenon that occurs when a key is used too frequently or for too long, which increases the risk of compromise or degradation. Blast radius is a measure of how much damage a compromised key can cause to the encrypted data. S3 uses KMS to generate a unique data key for each individual object, which reduces both cryptographic wear-out and blast radius. The KMS encryption envelope digitally signs the master key during encryption, which prevents cryptographicwear-out by ensuring that only authorized parties can use the master key. The other options are either incorrect or irrelevant for addressing the CISO’s concerns.

To protect the sensitive data against any data breach and minimize management overhead, the security engineer should recommend the following solution:

Enable Amazon RDS encryption to encrypt the database and snapshots. This allows the security engineer to use AWS Key Management Service (AWS KMS) to encrypt data at rest for the database and any backups or replicas.

Enable Amazon Elastic Block Store (Amazon EBS) encryption on Amazon EC2 instances. This allows the security engineer to use AWS KMS to encrypt data at rest for the EC2 instances and any snapshots or volumes.

Store the database credentials in AWS Secrets Manager with automatic rotation. This allows the security engineer to encrypt and manage secrets centrally, and to configure automatic rotation schedules for them.

Set up TLS for the connection to the RDS hosted database. This allows the security engineer to encrypt data in transit between the EC2 instances and the database.

GuardDuty can trigger an EventBridge rule upon detecting a suspicious finding (e.g., unusual traffic volume). Using Lambda, the automation can:

Remove the affected instance from the Auto Scaling group to prevent it from being terminated and replaced.

Isolate the instance by applying a restrictive security group.

This approach aligns with AWS incident response best practices, which recommend isolation over termination to preserve forensic data while minimizing disruption to the application.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html#eni-basics Source/destination checking "You must disable source/destination checks if the instance runs services such as network address translation, routing, or firewalls."

The correct answer is C. Disable the Network Source/Destination check on the security appliance’s elastic network interface.

This answer is correct because disabling the Network Source/Destination check allows the virtual security appliance to route traffic that is not addressed to or from itself. By default, this check is enabled on all EC2 instances, and it prevents them from forwarding traffic that does not match their own IP or MAC addresses.However, for a virtual security appliance that acts as a router or a firewall, this check needs to be disabled, otherwise it will drop the traffic that it is supposed to route12.

The other options are incorrect because:

A. Disabling network ACLs is not a solution, because network ACLs are optional layers of security for the subnets in a VPC.They can be used to allow or deny traffic based on IP addresses and ports, but they donot affect the routing behavior of the virtual security appliance3.

B. Configuring the security appliance’s elastic network interface for promiscuous mode is not a solution, because promiscuous mode is a mode for a network interface that causes it to pass all traffic it receives to the CPU, rather than passing only the frames that it is programmed to receive.Promiscuous mode is normally used for packet sniffing or monitoring, but it does not enable the network interface to route traffic4.

D. Placing the security appliance in the public subnet with the internet gateway is not a solution, because it does not address the routing issue of the virtual security appliance.Thesecurity appliance can be placed in either a public or a private subnet, depending on the network design and security requirements, but it still needs to have the Network Source/Destination check disabled to route traffic properly5.

Amazon CloudWatch monitoring is a service that collects and tracksmetrics fromAWS resources and applications, and provides visualization tools and alarms to monitor performance and availability1. The health status data in format can be sent to CloudWatch as custom metrics2, and then displayed in CloudWatch dashboards3. The other options are either inefficient or insecure for monitoring application availability in near-real time.

AWS Systems Manager Session Manager is a fully managed service that allows you to securely and remotely administer your EC2 instances without the need to open inbound ports, maintain bastion hosts, or manage SSH keys. Session Manager provides an interactive browser-based shell or CLI access to your instances, as well as port forwarding and auditing capabilities. Session Manager works with both Linux and Windows instances, and supports hybrid environments and edge devices.

EC2 Instance Connect is a feature that allows you to use SSH to connect to your Linux instances using short-lived keys that are generated on demand and delivered securely through the AWS metadata service. EC2 Instance Connect does not require any additional software installation or configuration on the instance, but it does require you to use SSH-RSA keys during the launch of new instances.

The correct answer is to use Session Manager, as it provides more security and flexibility than EC2 Instance Connect, and does not require SSH-RSA keys or inbound ports. Session Manager also works with Windows instances, while EC2 Instance Connect does not.

Verified References:

https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager.html

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Connect-using-EC2-Instance-Connect.html

https://repost.aws/questions/QUnV4R9EoeSdW0GT3cKBUR7w/what-is-the-difference-between-ec-2-instance-connect-and-session-manager-ssh-connections

The correct answer is D. Change the existing CloudTrail trail so that it applies to all Regions.

According to the AWS documentation1, you can configure CloudTrail to deliver log files from multiple Regions to a single S3 bucket for a single account.To change an existing single-Region trail to log in all Regions, you must use the AWS CLI and add the --is-multi-region-trail option to the update-trail command2. This will ensure that you log global service events and capture all management event activity in your account.

Option A is incorrect because creating a new CloudTrail trail for each Region will incur additional costs and increase operational overhead. Option B is incorrect because changing the S3 bucket to receive notifications will not affect the delivery of log files from other Regions. Option C is incorrect because creating a new CloudTrail trail that applies to all Regions will result in duplicate log files for the original Region and also incur additional costs.

One can use the CLI command list-access-keys to get the access keys. This command also returns the "CreateDate" of the keys. If the CreateDate is older than 2 months, then the keys can be deleted.

The Returns list-access-keys CLI command returns information about the access key IDs associated with the specified IAM user. If there are none, the action returns an empty list

Option A is incorrect because you might as use a script for such maintenance activities

Option C is incorrect because you would not rotate the users themselves

Option D is incorrect because you don't use IAM roles for such a purpose

For more information on the CLI command, please refer to the below Link:

http://docs.IAM.amazon.com/cli/latest/reference/iam/list-access-keys.htmll

The correct answer is: Use a script to query the creation date of the keys. If older than 2 months, create new access key and update all applications to use it inactivate the old key and delete it.

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the aws kms get-key-rotation-status command returns a boolean value that indicates whetherautomatic rotation of the customer master key (CMK) is enabled1. This commandalsoshowsthe date and time when the CMK was last rotated2. The other options are not valid ways to check the CMK rotation status.

To support answer B, use the referencehttps://d1.IAMstatic.com/whitepapers/IAM-security-whitepaper.pdf

"For example, IAM Config provides a managed IAM Config Rules to ensure that encryption is turned on for all EBS volumes in your account."

https://IAM.amazon.com/premiumsupport/knowledge-center/cross-account-access-s3/