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Achieving the DVA-C02 certification demonstrates to potential employers and clients that the individual has the skills and knowledge necessary to design, deploy, and maintain AWS-based applications. AWS Certified Developer - Associate certification can also lead to career advancement opportunities and increased earning potential.

Amazon DVA-C02 exam is intended for individuals who have a minimum of one year of experience in developing and maintaining applications on AWS. DVA-C02 exam covers a wide range of topics, including AWS core services, AWS security, AWS deployment and management, AWS databases, AWS developer tools, and AWS cost optimization. DVA-C02 exam is also designed to test the candidate's ability to use AWS services to meet specific business requirements and to troubleshoot and debug issues with AWS applications.

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Amazon AWS Certified Developer - Associate Sample Questions (Q18-Q23):

NEW QUESTION # 18
A photo sharing application uses Amazon S3 to store image files. All user images are manually audited for inappropriate content by a third-party company. The audits are completed 1-24 hours after user upload and the results are written to an Amazon DynamoDB table, which uses the S3 object key as a primary key. The database items can be queried by using a REST API created by the third-party company.
An application developer needs to implement an automated process to tag all S3 objects with the results of the content audit.
What should the developer do to meet these requirements in the MOST operationally efficient way?

  • A. Launch an Amazon EC2 instance. Deploy a script to the EC2 instance to use the external database results to tag the S3 objects accordingly. Configure a crontab file to run the script at regular intervals.
  • B. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Write the S3 key to an Amazon Simple Queue Service (Amazon SQS) queue with a visibility timeout of 24 hours. Create and configure a second Lambda function to read items from the queue. Retrieve the results for each item from the DynamoDB table. Tag each S3 object accordingly.
  • C. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Integrate the function into an AWS Step Functions standard workflow. Define an AWS Step Functions Wait state and set the value to 24 hours. Create and configure a second Lambda function to retrieve the audit results and tag the S3 objects accordingly after the Wait state is over.
  • D. Create an AWS Lambda function to load all untagged S3 objects. Retrieve the results for each item from the REST API and tag each S3 object accordingly. Create and configure an Amazon EventBridge rule to run at regular intervals. Set the Lambda function as a target for the EventBridge rule.

Answer: B


NEW QUESTION # 19
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?

  • A. Create the DynamoDB table with the default encryption options
  • B. Create an AWS Key Management Service (AWS KMS) AWS managed key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table
  • C. Create an AWS Key Management Service (AWS KMS) customer managed key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table
  • D. Create an AWS owned key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table.

Answer: A

Explanation:
Explanation
When creating an Amazon DynamoDB table using the AWS CLI, server-side encryption with an AWS owned encryption key is enabled by default. Therefore, the developer does not need to create an AWS KMS key or specify the KMSMasterKeyId parameter. Option A and B are incorrect because they suggest creating customer-managed and AWS-managed KMS keys, which are not needed in this scenario. Option C is also incorrect because AWS owned keys are automatically used for server-side encryption by default.


NEW QUESTION # 20
A developer created an AWS Lambda function that performs a series of operations that involve multiple AWS services. The function's duration time is higher than normal. To determine the cause of the issue, the developer must investigate traffic between the services without changing the function code Which solution will meet these requirements?

  • A. Review the Amazon CloudWatch logs that are associated with the Lambda function.
  • B. Review the AWS Config logs in Amazon Cloud Watch.
  • C. Enable AWS X-Ray active tracing in the Lambda function Review the logs in X-Ray
  • D. Configure AWS CloudTrail View the trail logs that are associated with the Lambda function.

Answer: C

Explanation:
Tracing Distributed Systems: AWS X-Ray is designed to trace requests across services, helping identify bottlenecks in distributed applications like this one.
No Code Changes: Enabling X-Ray tracing often requires minimal code changes, meeting the requirement.
Identifying Bottlenecks: Analyzing X-Ray traces and logs will reveal latency in communications between different AWS services, leading to the high duration time.
Reference:
AWS X-Ray: https://aws.amazon.com/xray/
X-Ray and Lambda: https://docs.aws.amazon.com/xray/latest/devguide/xray-services-lambda.html


NEW QUESTION # 21
A developer warns to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the lest the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Clone the exiting API Modify the new API lo add request validation. Perform the tests Modify the existing API to add request validation Deploy the existing API to production.
  • B. Export the existing API to an OpenAPI file. Create a new API Import the OpenAPI file Modify the new API to add request validation. Perform the tests Modify the existing API to add request validation.
    Deploy the existing API to production.
  • C. Modify the existing API to add request validation. Deploy the updated API to a new API Gateway stage Perform the tests Deploy the updated API to the API Gateway production stage.
  • D. Create a new API Add the necessary resources and methods including new request validation. Perform the tests Modify the existing API to add request validation. Deploy the existing API to production.

Answer: A

Explanation:
Explanation
This solution allows the developer to test the changes without affecting the production environment. Cloning an API creates a copy of the API definition that can be modified independently. The developer can then add request validation to the new API and test it using a testing tool. After verifying that the changes work as expected, the developer can apply the same changes to the existing API and deploy it to production.


NEW QUESTION # 22
A developer is using AWS Step Functions to automate a workflow. The workflow defines each step as an AWS Lambda function task. The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an IllegalArgumentException error or a TooManyRequestsException error.
The developer wants the state machine to stop running when the state machine encounters an IllegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine?

  • A. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
    Configure the next step to be the GetResource task.
  • B. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task. Configure the Delay task to wait for an interval of 10 seconds. Configure the next step to be the GetResource task.
  • C. Add a retrier to the GetResource task. Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
  • D. Duplicate the GetResource task. Rename the new GetResource task to TryAgain. Add a catcher to the original GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be TryAgain.

Answer: B


NEW QUESTION # 23
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