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Amazon Web Services DVA-C02 Dumps

Exam Code:
DVA-C02
Exam Name:
AWS Certified Developer - Associate
Last Update: Mar 10, 2026
519 Questions with Explanation
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DVA-C02 FAQs

The AWS DVA-C02 Exam is tailored for developers involved in building and maintaining applications on AWS platforms, particularly those focusing on serverless applications, RESTful APIs, and AWS core service integration, enhancing their cloud-based development skills.

The AWS DVA-C02 certification is valid for three years. For recertification, professionals must either pass the current version of the same exam or a higher-level AWS certification exam, ensuring their skills stay current with evolving AWS technologies.

The AWS DVA-C02 Exam is considered intermediate in difficulty. It's more challenging than foundational AWS certifications but less complex compared to professional-level exams, requiring a solid understanding of AWS services and hands-on experience in developing cloud applications.

No, the DVA-C02 Exam specifically focuses on Python and JavaScript. Candidates are not permitted to use programming languages other than these two for the exam.

The DVA-C02 exam focuses on developing and deploying applications on AWS, while the Solutions Architect - Associate exam emphasizes designing AWS infrastructure solutions.

The DVA-C02 is focused on application development, while the DevOps Engineer - Professional certification emphasizes automation, continuous integration/continuous delivery (CI/CD), and operations.

Dumpspedia’s DVA-C02 dumps explore Lambda functions and API Gateway, guiding you toward success in the AWS certification.

After earning DVA-C02, you can pursue roles like AWS Developer, Cloud Application Developer, DevOps Engineer, and Software Engineer working on cloud-native applications.

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AWS Certified Developer - Associate Questions and Answers

Questions 1

A company has an application that uses Amazon Cognito user pools as an identity provider. The company must secure access to user records. The company has set up multi-factor authentication (MFA). The company also wants to send a login activity notification by email every time a user logs in.

What is the MOST operationally efficient solution that meets this requirement?

Options:

A.

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Add an Amazon API Gateway API to invoke the function. Call the API from the client side when login confirmation is received.

B.

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Add an Amazon Cognito post authentication Lambda trigger for the function.

C.

Create an AWS Lambda function that uses Amazon Simple Email Service (Amazon SES) to send the email notification. Create an Amazon CloudWatch Logs log subscription filter to invoke the function based on the login status.

D.

Configure Amazon Cognito to stream all logs to Amazon Kinesis Data Firehose. Create an AWS Lambda function to process the streamed logs and to send the email notification based on the login status of each user.

Questions 2

A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.

Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.

B.

Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.

C.

Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.

D.

Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.<

Questions 3

A developer is creating an AWS Lambda function that searches for items from an Amazon DynamoDB table that contains customer contact information. The DynamoDB table items have the customer's email_address as the partition key and additional properties such as customer_type, name, and job_title.

The Lambda function runs whenever a user types a new character into the customer_type text input. The developer wants the search to return partial matches of the email_address property for a particular customer_type value. The developer does not want to recreate the DynamoDB table.

What should the developer do to meet these requirements?

Options:

A.

Add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property.

B.

Add a global secondary index (GSI) to the DynamoDB table with email_address as the partition key and customer_type as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property.

C.

Add a local secondary index (LSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.

D.

Add a local secondary index (LSI) to the DynamoDB table with job_title as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.