Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

API Gateway supports canary deployment on a deployment stage before you direct all traffic to that stage. A parallel environment means we will create a new ALB and a target group that will target a new set of EC2 instances on which the newer version of the app will be deployed. So the canary setting associated to the new version of the API will connect with the new ALB instance which in turn will direct the traffic to the new EC2 instances on which the newer version of the application is deployed.

Enable AWS Config Across the Organization:

AWS Config provides a detailed view of the configuration of AWS resources in your AWS account. It can be used to assess, audit, and evaluate the configurations of your resources.

Enabling AWS Config across the organization ensures that all accounts are monitored for compliance.

Create a Conformance Pack Using the approved-amis-by-id AWS Config Managed Rule:

A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed across an organization.

The approved-amis-by-id managed rule checks whether running instances are using approved AMIs.

Deploy the Conformance Pack Across the Organization:

Deploying the conformance pack across the organization ensures that all accounts adhere to the policy of using only approved AMIs.

The conformance pack can be deployed via the AWS Management Console, CLI, or SDKs.

Configure the Rule to Run the AWS-StopEC2Instance AWS Systems Manager Automation Runbook for Non-Compliant EC2 Instances:

The AWS-StopEC2Instance runbook can be configured to automatically stop any EC2 instances that are found to be non-compliant (i.e., not using approved AMIs).

This remediation action ensures that any unauthorized instances are promptly stopped, enforcing the policy without manual intervention.

By following these steps, the solution ensures that all EC2 instances across the organization use approved AMIs, and any non-compliant instances are remediated automatically.

These solutions will meet the requirement because they will prevent the loss of notification messages in the future. An Amazon SQS queue is a service that provides a reliable, scalable, and secure message queue for asynchronous communication between distributed components. You can use an SQS queue to buffer messages from an SNS topic and ensure that they are delivered and processed by a Lambda function, even if the function or the database is temporarily unavailable.

Option C will configure an SQS dead-letter queue for the SNS topic. A dead-letter queue is a queue that receives messages that could not be delivered to any subscriber after a specified number of retries. You can use a dead-letter queue to store and analyze failed messages, or to reprocess them later. This way, you can avoid losing messages that could not be delivered to the Lambda function due to network errors, throttling, or other issues.

Option D will subscribe an SQS queue to the SNS topic and configure the Lambda function to process messages from the SQS queue. This will decouple the SNS topic from the Lambda function and provide more flexibility and control over the message delivery and processing. You can use an SQS queue to store messages from the SNS topic until they are ready to be processed by the Lambda function, and also to retry processing in case of failures. This way, you can avoid losing messages that could not be processed by the Lambda function due to database errors, timeouts, or other issues.