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Amazon DVA-C01 Exam
AWS Certified Developer - Associate DVA-C02 (Page 18 )

Updated On: 26-Jan-2026
Page 18 of 113
PDF with 500 Questions

A developer is building a serverless application on AWS for a workflow that processes high volumes of data. In the workflow, an AWS Step Functions state machine invokes several AWS Lambda functions.
One of the Lambda functions occasionally fails because of timeout errors during periods of high demand. The developer must ensure that the workflow automatically retries the failed function invocation if a timeout error occurs.
Which solution will meet this requirement?

  1. Add a Retry field in the Step Functions state machine definition. Configure the state machine with the maximum number of retry attempts and the timeout error type to retry on.
  2. Add a Timeout field in the Step Functions state machine definition. Configure the state machine with the maximum number of retry attempts.
  3. Add a Fail state to the Step Functions state machine definition. Configure the state machine with the maximum number of retry attempts.
  4. Update the Step Functions state machine to pass the invocation request to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe a Lambda function to the SNS topic. Configure the Lambda function with the maximum number of retry attempts for a timeout error type.

Answer(s): A



A developer needs approval from a product owner before the developer can deploy code for an application to production. The developer uses AWS CodePipeline to deploy the application. The developer configures an Amazon Simple Notification Service (Amazon SNS) topic to send notifications to the product owner.
Which solution is the MOST operationally efficient way for the developer to receive approval from the product owner?

  1. Add a new stage to CodePipeline before the production deployment. Add a manual approval action to the new stage. Add a new notification rule in the pipeline settings. Specify manual approval as the event that initiates the notification. Specify the SNS topic's Amazon Resource Name (ARN) to notify the product owner.
  2. Develop an AWS Step Functions state machine that sends a notification to the product owner and accepts an approval. Add a new stage to CodePipeline before the production deployment. Add the state machine as a Step Functions action to the new stage.
  3. Add a manual approval action to the existing production deployment stage in CodePipeline. Specify the SNS topic's Amazon Resource Name (ARN) while configuring the new manual approval action.
  4. Edit the settings in CodePipeline. Create a new notification rule. Specify manual approval as the event that initiates the notification. Create a new notification target. Specify the SNS topic to notify the product owner. Save the notification rule.

Answer(s): A



A company introduced a new feature that should be accessible to only a specific group of premium customers. A developer needs the ability to turn the feature on and off in response to performance and feedback. The developer needs a solution to validate and deploy these configurations quickly without causing any disruptions.
What should the developer do to meet these requirements?

  1. Use AWS AppConfig to manage the feature configuration and to validate and deploy changes. Use feature flags to turn the feature on and off.
  2. Use AWS Secrets Manager to securely manage and validate the feature configurations. Enable lifecycle rules to turn the feature on and off.
  3. Use AWS Config to manage the feature configuration and validation. Set up AWS Config rules to turn the feature on and off based on predefined conditions.
  4. Use AWS Systems Manager Parameter Store to store and validate the configuration settings for the feature. Enable lifecycle rules to turn the feature on and off.

Answer(s): A



A company has an analytics application that uses an AWS Lambda function to process transaction data asynchronously. A developer notices that asynchronous invocations of the Lambda function sometimes fail. When failed Lambda function invocations occur, the developer wants to invoke a second Lambda function to handle errors and log details.
Which solution will meet these requirements?

  1. Configure a Lambda function destination with a failure condition. Specify Lambda function as the destination type. Specify the error-handling Lambda function's Amazon Resource Name (ARN) as the resource.
  2. Enable AWS X-Ray active tracing on the initial Lambda function. Configure X-Ray to capture stack traces of the failed invocations. Invoke the error-handling Lambda function by including the stack traces in the event object.
  3. Configure a Lambda function trigger with a failure condition. Specify Lambda function as the destination type. Specify the error-handling Lambda function's Amazon Resource Name (ARN) as the resource.
  4. Create a status check alarm on the initial Lambda function. Configure the alarm to invoke the error-handling Lambda function when the alarm is initiated. Ensure that the alarm passes the stack trace in the event object.

Answer(s): A



A company has on-premises data centers that run an image processing service. The service consists of containerized applications that run on Kubernetes clusters. All the applications have access to the same NFS share for files and data storage.
The company is running out of NFS capacity in the data centers and needs to migrate to AWS as soon as possible. The Kubernetes clusters must be highly available on AWS.
Which combination of actions will meet these requirements? (Choose two.)

  1. Transfer the information that is in the NFS share to an Amazon Elastic Block Store (Amazon EBS) volume. Upload the container images to Amazon Elastic Container Registry (Amazon ECR).
  2. Transfer the information that is in the NFS share to an Amazon Elastic File System (Amazon EFS) volume. Upload the container images to Amazon Elastic Container Registry (Amazon ECR).
  3. Create an Amazon Elastic Container Service (Amazon ECS) cluster to run the applications. Configure each node of the cluster to mount the Amazon Elastic Block Store (Amazon EBS) volume at the required path for the container images.
  4. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to run the applications. Configure each node of the cluster to mount the Amazon Elastic Block Store (Amazon EBS) volume at the required path for the container images.
  5. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to run the applications. Configure each node of the cluster to mount the Amazon Elastic File System (Amazon EFS) volume at the required path for the container images.

Answer(s): B,E



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