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Amazon DVA-C01 Exam
AWS Certified Developer - Associate DVA-C02 (Page 9 )

Updated On: 26-Jan-2026
Page 9 of 113
PDF with 500 Questions

A company has an application that uses an AWS Lambda function to consume messages from an Amazon Simple Queue Service (Amazon SQS) queue. The SQS queue is configured with a dead-letter queue. Due to a defect in the application, AWS Lambda failed to process some messages. A developer fixed the bug and wants to process the failed messages again.
How should the developer resolve this issue?

  1. Use the SendMessageBatch API to send messages from the dead-letter queue to the original SQS queue.
  2. Use the ChangeMessageVisibility API to configure messages in the dead-letter queue to be visible in the original SQS queue.
  3. Use the StartMessageMoveTask API to move messages from the dead-letter queue to the original SQS queue.
  4. Use the PurgeQueue API to remove messages from the dead-letter queue and return the messages to the original SQS queue.

Answer(s): C



A developer has AWS Lambda functions that need to access a company's internal data science libraries and reference data. Separate teams manage the libraries and the data. The teams must be able to update and upload new data independently. The Lambda functions are connected to the company's central VPC.
Which solution will provide the Lambda functions with access to the libraries and data?

  1. Attach an Amazon Elastic Block Store (Amazon EBS) volume to the Lambda functions by using EBS Multi-Attach in the central VPC. Update the Lambda function execution roles to give the functions to access the EBS volume. Update the Lambda function code to reference the files in the EBS volume.
  2. Compress the libraries and reference data in a Lambda /tmp folder. Update the Lambda function code to reference the files in the /tmp folder.
  3. Set up an Amazon Elastic File System (Amazon EFS) file system with mount targets in the central VPConfigure the Lambda functions to mount the EFS file system. Update the Lambda function execution roles to give the functions to access the EFS file system.
  4. Set up an Amazon FSx for Windows File Server file system with mount targets in the central VPC. Configure the Lambda functions to mount the Amazon FSx file system. Update the Lambda function execution roles to give the functions to access the Amazon FSx file system.

Answer(s): C



A developer built an application by using multiple AWS Lambda functions. The Lambda functions must access dynamic configuration data at runtime. The data is maintained as a 6 KB JSON document in AWS AppConfig. The configuration data needs to be updated without requiring the redeployment of the application.
The developer needs a solution that will give the Lambda functions access to the dynamic configuration data.
What should the developer do to meet these requirements with the LEAST development effort?

  1. Migrate the document from AWS AppConfig to a Lambda environment variable. Read the document at the runtime.
  2. Configure the AWS AppConfig Agent Lambda extension. Access the dynamic configuration data by calling the extension on a local host.
  3. Use the AWS X-Ray SDK to call the AWS AppConfig APIs. Retrieve the configuration file at runtime.
  4. Migrate the configuration file to a Lambda deployment package. Read the file from the file system at runtime.

Answer(s): B



A developer is setting up AWS CodePipeline for a new application. During each build, the developer must generate a test report.
Which solution will meet this requirement?

  1. Create an AWS CodeBuild build project that runs tests. Configure the buildspec file with the test report information.
  2. Create an AWS CodeDeploy deployment that runs tests. Configure the AppSpec file with the test report information.
  3. Run the builds on an Amazon EC2 instance that has AWS Systems Manager Agent (SSM Agent) installed and activated.
  4. Create a repository in AWS CodeArtifact. Select the test report template.

Answer(s): A



A developer needs to freeze changes to an AWS CodeCommit repository before a production release. The developer will work on new features while a quality assurance (QA) team tests the release.
The QA testing and all bug fixes must take place in isolation from the main branch. After the release, the developer must integrate all bug fixes into the main branch.
Which solution will meet these requirements?

  1. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch. Merge the release branch into the main branch after the release.
  2. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply fixes to the main branch. Update the Git tag for the release to be on the latest commit on the main branch.
  3. Create a release branch from the latest Git commit that will be in the release. Apply fixes to the release branch. Continue developing new features, and merge the features into the main branch. Rebase the main branch onto the release branch after the release.
  4. Create a Git tag on the latest Git commit that will be in the release. Continue developing new features, and merge the features into the main branch. Apply the Git commits for fixes to the Git tag for the release.

Answer(s): A



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