Amazon DVA-C01 Exam
AWS Certified Developer - Associate DVA-C02 (Page 21 )

Updated On: 26-Jan-2026

A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.
What should the developer do to meet this requirement?

  1. Use the X-Ray console to add annotations for AWS services and user-defined services.
  2. Use Region annotation that X-Ray adds automatically for AWS services. Add Region annotation for user-defined services.
  3. Use the X-Ray daemon to add annotations for AWS services and user-defined services.
  4. Use Region annotation that X-Ray adds automatically for user-defined services. Configure X-Ray to add Region annotation for AWS services.

Answer(s): B



A company runs an application on AWS. The application uses an AWS Lambda function that is configured with an Amazon Simple Queue Service (Amazon SQS) queue called high priority queue as the event source. A developer is updating the Lambda function with another SQS queue called low priority queue as the event source. The Lambda function must always read up to 10 simultaneous messages from the high priority queue before processing messages from low priority queue. The Lambda function must be limited to 100 simultaneous invocations.
Which solution will meet these requirements?

  1. Set the event source mapping batch size to 10 for the high priority queue and to 90 for the low priority queue.
  2. Set the delivery delay to 0 seconds for the high priority queue and to 10 seconds for the low priority queue.
  3. Set the event source mapping maximum concurrency to 10 for the high priority queue and to 90 for the low priority queue.
  4. Set the event source mapping batch window to 10 for the high priority queue and to 90 for the low priority queue.

Answer(s): C



A data visualization company wants to strengthen the security of its core applications. The applications are deployed on AWS across its development, staging, pre-production, and production environments. The company needs to encrypt all of its stored sensitive credentials. The sensitive credentials need to be automatically rotated. A version of the sensitive credentials need to be stored for each environment.
Which solution will meet these requirements in the MOST operationally efficient way?

  1. Configure AWS Secrets Manager versions to store different copies of the same credentials across multiple environments.
  2. Create a new parameter version in AWS Systems Manager Parameter Store for each environment. Store the environment-specific credentials in the parameter version.
  3. Configure the environment variables in the application code. Use different names for each environment type.
  4. Configure AWS Secrets Manager to create a new secret for each environment type. Store the environment-specific credentials in the secret.

Answer(s): D



A developer is investigating an issue in part of a company's application. In the application, messages are sent to an Amazon Simple Queue Service (Amazon SQS) queue. The AWS Lambda function polls messages from the SQS queue and sends email messages by using Amazon Simple Email Service (Amazon SES). Users have been receiving duplicate email messages during periods of high traffic.
Which reasons could explain the duplicate email messages? (Choose two.)

  1. Standard SQS queues support at-least-once message delivery.
  2. Standard SQS queues support exactly-once processing, so the duplicate email messages are because of user error.
  3. Amazon SES has the DomainKeys Identified Mail (DKIM) authentication incorrectly configured.
  4. The SQS queue's visibility timeout is lower than or the same as the Lambda function's timeout.
  5. The Amazon SES bounce rate metric is too high.

Answer(s): A,D



A developer is deploying a company's application to Amazon EC2 instances. The application generates gigabytes of data files each day. The files are rarely accessed, but the files must be available to the application's users within minutes of a request during the first year of storage. The company must retain the files for 7 years.
How can the developer implement the application to meet these requirements MOST cost-effectively?

  1. Store the files in an Amazon S3 bucket. Use the S3 Glacier Instant Retrieval storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year.
  2. Store the files in an Amazon S3 bucket. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Flexible Retrieval storage class after 1 year.
  3. Store the files on an Amazon Elastic Block Store (Amazon EBS) volume. Use Amazon Data Lifecycle Manager (Amazon DLM) to create snapshots of the EBS volumes and to store those snapshots in Amazon S3.
  4. Store the files on an Amazon Elastic File System (Amazon EFS) mount. Configure EFS lifecycle management to transition the files to the EFS Standard- Infrequent Access (Standard-IA) storage class after 1 year.

Answer(s): A



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