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Amazon DVA-C01 Exam
AWS Certified Developer - Associate DVA-C02 (Page 4 )

Updated On: 26-Jan-2026
Page 4 of 113
PDF with 500 Questions

A company hosts its application in the us-west-1 Region. The company wants to add redundancy in the us-east-1 Region.
The application secrets are stored in AWS Secrets Manager in us-west-1. A developer needs to replicate the secrets to us-east-1.
Which solution will meet this requirement?

  1. Configure secret replication for each secret. Add us-east-1 as a replication Region. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
  2. Create a new secret in us-east-1 for each secret. Configure secret replication in us-east-1. Set the source to be the corresponding secret in us-west-1. Choose an AWS Key Management Service (AWS KMS) key in us-west-1 to encrypt the replicated secrets.
  3. Create a replication rule for each secret. Set us-east-1 as the destination Region. Configure the rule to run during secret rotation. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
  4. Create a Secrets Manager lifecycle rule to replicate each secret to a new Amazon S3 bucket in us-west-1. Configure an S3 replication rule to replicate the secrets to us-east-1.

Answer(s): A



A developer needs to modify an application architecture to meet new functional requirements. Application data is stored in Amazon DynamoDB and processed for analysis in a nightly batch. The system analysts do not want to wait until the next day to view the processed data and have asked to have it available in near-real time.
Which application architecture pattern would enable the data to be processed as it is received?

  1. Event driven
  2. Client-server driven
  3. Fan-out driven
  4. Schedule driven

Answer(s): A



A company is working on a new serverless application. A developer needs to find an automated way to deploy AWS Lambda functions and the dependent infrastructure with minimum coding effort. The application also needs to be reliable.
Which method will meet these requirements with the LEAST operational overhead?

  1. Build the application by using shell scripts to create .zip files for each Lambda function. Manually upload the .zip files to the AWS Management Console.
  2. Build the application by using the AWS Serverless Application Model (AWS SAM). Use a continuous integration and continuous delivery (CI/CD) pipeline and the SAM CLI to deploy the Lambda functions.
  3. Build the application by using shell scripts to create .zip files for each Lambda function. Upload the .zip files. Deploy the .zip files as Lambda functions by using the AWS CLI in a continuous integration and continuous delivery (CI/CD) pipeline.
  4. Build a container for each Lambda function. Store the container images in AWS CodeArtifact. Deploy the containers as Lambda functions by using the AWS CLI in a continuous integration and continuous delivery (CI/CD) pipeline.

Answer(s): B



A developer has written a distributed application that uses microservices. The microservices are running on Amazon EC2 instances. Because of message volume, the developer is unable to match log output from each microservice to a specific transaction. The developer needs to analyze the message flow to debug the application.
Which combination of steps should the developer take to meet this requirement? (Choose two.)

  1. Download the AWS X-Ray daemon. Install the daemon on an EC2 instance. Ensure that the EC2 instance allows UDP traffic on port 2000.
  2. Configure an interface VPC endpoint to allow traffic to reach the global AWS X-Ray daemon on TCP port 2000.
  3. Enable AWS X-Ray. Configure Amazon CloudWatch to push logs to X-Ray.
  4. Add the AWS X-Ray software development kit (SDK) to the microservices. Use X-Ray to trace requests that each microservice makes.
  5. Set up Amazon CloudWatch metric streams to collect streaming data from the microservices.

Answer(s): A,D



A developer is creating AWS CloudFormation templates to manage an application's deployment in Amazon Elastic Container Service (Amazon ECS) through AWS CodeDeploy. The developer wants to automatically deploy new versions of the application to a percentage of users before the new version becomes available for all users.
How should the developer manage the deployment of the new version?

  1. Modify the CloudFormation template to include a Transform section and the AWS::CodeDeploy::BlueGreen hook.
  2. Deploy the new version in a new CloudFormation stack. After testing is complete, update the application's DNS records for the new stack.
  3. Run CloudFormation stack updates on the application stack to deploy new application versions when they are available.
  4. Create a nested stack for the new version. Include a Transform section and the AWS::CodeDeploy::BlueGreen hook.

Answer(s): A



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