Fortinet NSE7_PBC-7.2 Dumps

To deploy a FortiGate HA solution in AWS using Terraform, you need to create an AWS IAM user with permissions to access the AWS resources and services required by the FortiGate-VM. You also need to use CloudShell to install Terraform, which is a tool for building, changing, and versioning infrastructure as code.

References:

• Deploying FortiGate-VM using Terraform | AWS Administration Guide
• Setting up IAM roles | AWS Administration Guide
• Launching the instance using roles and user data | AWS Administration Guide
• Terraform by HashiCorp

B. FortiGate A and FortiGate B are two independent devices. This means that they are not part of a cluster or a high availability group, and they do not share the same configuration or state information. They are configured as standalone FortiGates with standalone configuration synchronization enabled1. This feature allows them to synchronize most of their configuration settings with each other, except for some settings that identify the FortiGate to the network, such as the hostname1. D. It does not synchronize the FortiGate hostname. This is one of the settings that are excluded from the standalone configuration synchronization, as mentioned above. The hostname is a unique identifier for each FortiGate device, and it should not be changed by the synchronization process1.

The other options are incorrect because:

• FortiGate-VM instances are not scaled out automatically according to predefined workload levels. This is a feature of the auto scaling solution for FortiGate-VM on Azure, which requires a different deployment and configuration than the one shown in the exhibit2. The exhibit shows a static deployment of two FortiGate-VM instances behind an Azure load balancer, which does not support auto scaling.
• By default, FortiGate does not use FGCP. FGCP stands for FortiGate Clustering Protocol, which is used to synchronize configuration and state information between FortiGate devices in a cluster or a high availability group3. However, the exhibit shows that the FortiGates are not in a cluster or a high availability group, and they use standalone configuration synchronization instead of FGCP.

A. All the output values are available after a successful terraform apply command. This means that after the deployment, you can view the output values by running terraform output or terraform show in the same directory where you ran terraform apply1. You can also use the output values in other Terraform configurations or external systems by using the terraform output command with various options2. B. The subnet_private_1 value is defined in the variables.tf file. This means that the subnet_private_1 value is an input variable that can be customized by passing a different value when running terraform apply or by setting an environment variable3. The variables.tf file is where you declare all the input variables for your Terraform configuration4.

The other options are incorrect because:

• After the deployment, Terraform output values are not visible only through AWS CloudShell. You can access them from any shell or terminal where you have Terraform installed and configured with your AWS credentials.
• You do not need to specify all the AWS credentials in the output.tf file. The output.tf file is where you declare all the output values for your Terraform configuration4. You can specify your AWS credentials in a separate file, such as provider.tf, or use environment variables or shared credentials files. References:
• Output Values - Configuration Language | Terraform - HashiCorp Developer
• Command: output - Terraform by HashiCorp
• Input Variables - Configuration Language | Terraform - HashiCorp Developer
• Configuration Language | Terraform - HashiCorp Developer