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Amazon DVA-C01 Exam
AWS Certified Developer - Associate DVA-C02 (Page 22 )

Updated On: 26-Jan-2026
Page 22 of 113
PDF with 500 Questions

A company's developer has deployed an application in AWS by using AWS CloudFormation. The CloudFormation stack includes parameters in AWS Systems Manager Parameter Store that the application uses as configuration settings. The application can modify the parameter values.
When the developer updated the stack to create additional resources with tags, the developer noted that the parameter values were reset and that the values ignored the latest changes made by the application. The developer needs to change the way the company deploys the CloudFormation stack. The developer also needs to avoid resetting the parameter values outside the stack.
Which solution will meet these requirements with the LEAST development effort?

  1. Modify the CloudFormation stack to set the deletion policy to Retain for the Parameter Store parameters.
  2. Create an Amazon DynamoDB table as a resource in the CloudFormation stack to hold configuration data for the application. Migrate the parameters that the application is modifying from Parameter Store to the DynamoDB table.
  3. Create an Amazon RDS DB instance as a resource in the CloudFormation stack. Create a table in the database for parameter configuration. Migrate the parameters that the application is modifying from Parameter Store to the configuration table.
  4. Modify the CloudFormation stack policy to deny updates on Parameter Store parameters.

Answer(s): A



A developer is creating an Amazon DynamoDB table by using the AWS CLI. The DynamoDB table must use server-side encryption with an AWS owned encryption key.
How should the developer create the DynamoDB table to meet these requirements?

  1. Create an AWS Key Management Service (AWS KMS) customer managed key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyId parameter during creation of the DynamoDB table.
  2. Create an AWS Key Management Service (AWS KMS) AWS managed key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyId parameter during creation of the DynamoDB table.
  3. Create an AWS owned key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyId parameter during creation of the DynamoDB table.
  4. Create the DynamoDB table with the default encryption options.

Answer(s): D



A developer is working on an application that will be deployed on AWS. The developer needs to test and debug the code locally. The code is packaged and stored in an Amazon S3 bucket.
How can the developer test and debug the code locally with the LEAST amount of configuration?

  1. Create an application and a deployment group in AWS CodeDeploy. For the compute platform, specify the local machine as the individual instance for the deployment. For the repository type, specify that the application is stored in Amazon S3. Start the deployment to test on the local machine.
  2. Create a repository in AWS CodeArtifact. Publish the application code package to the repository. Before deployment, create an upstream repository to test and validate the code.
  3. Create a build project in AWS CodeBuild. In AWS CodePipeline, add a CodeBuild test action by adding a stage and an action. For the action provider, specify a CodeBuild test and the build project. View the build log to see the test results.
  4. Install the AWS CodeDeploy agent locally to validate the deployment package. Run the codedeploy-local command. Specify the S3 bucket where the code package is located by using the --bundle-location option.

Answer(s): D



A company has a mobile app. The app includes an Amazon API Gateway REST API that invokes AWS Lambda functions. The Lambda functions process data from the app.
The company needs to test updated Lambda functions that have new features. The company must conduct these tests with a subset of users before deployment. The tests must not affect other users of the app.
Which solution will meet these requirements with the LEAST amount of operational effort?

  1. Create a new version of each Lambda function with a weighted alias. Configure a weight value for each version of the Lambda function. Update the new weighted alias Amazon Resource Name (ARN) in the REST API.
  2. Create a new REST API in API Gateway. Set up a Lambda proxy integration to connect to multiple Lambda functions. Enable canary settings on the deployment stage. Specify a smaller percentage of API traffic to go to the new version of the Lambda function.
  3. Create a new version of each Lambda function. Integrate a predefined canary deployment in AWS CodeDeploy to slowly shift the traffic to the new versions automatically.
  4. Create a new REST API in API Gateway. Set up a Lambda non-proxy integration to connect to multiple Lambda functions. Specify the necessary parameters and properties in API Gateway. Enable canary settings on the deployment stage. Specify a smaller percentage of API traffic to go to the new version of the Lambda function.

Answer(s): B



A company built an online event platform. For each event, the company organizes quizzes and generates leaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete. The company then uses a scheduled job to delete the old leaderboard data.
The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, the DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write throughput.
Which solution meets these requirements?

  1. Configure a TTL attribute for the leaderboard data.
  2. Use DynamoDB Streams to schedule and delete the leaderboard data.
  3. Use AWS Step Functions to schedule and delete the leaderboard data.
  4. Set a higher write capacity when the scheduled delete job runs.

Answer(s): A



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