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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is designed for individuals who want to demonstrate their expertise in developing and maintaining applications on the Amazon Web Services (AWS) platform. DVA-C02 Exam is intended for developers with at least one year of experience in designing, developing, and deploying cloud-based solutions using AWS technologies.

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The AWS Certified Developer - Associate exam covers a wide range of topics, including AWS core services such as EC2, S3, and RDS, as well as AWS deployment and management tools such as Elastic Beanstalk, CloudFormation, and CodeDeploy. DVA-C02 exam also covers topics such as application development, security, and troubleshooting, ensuring that the candidate has a deep understanding of how to design, develop, and deploy secure and scalable applications on AWS.

Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is a valuable credential for professionals who want to specialize in developing and deploying applications on AWS. DVA-C02 Exam covers a range of topics related to AWS development, including core services, application services, security, best practices, and troubleshooting. AWS Certified Developer - Associate certification is recognized globally and can help professionals advance their careers and increase their earning potential.

Amazon AWS Certified Developer - Associate Sample Questions (Q13-Q18):

NEW QUESTION # 13
A developer is building an application that includes an AWS Lambda function that is written in .NET Core. The Lambda function's code needs to interact with Amazon DynamoDB tables and Amazon S3 buckets. The developer must minimize the Lambda function's deployment time and invocation duration.
Which solution will meet these requirements?

A. Include the entire AWS SDK for .NET in the Lambda function's deployment package.
B. Configure the Lambda function to download the AWS SDK for .NET from an S3 bucket at runtime.
C. Include only the AWS SDK for .NET modules for DynamoDB and Amazon S3 in the Lambda function's deployment package.
D. Increase the Lambda function's memory.

Answer: C

NEW QUESTION # 14
A company created an application to consume and process data. The application uses Amazon SQS and AWS Lambda functions. The application is currently working as expected, but it occasionally receives several messages that it cannot process properly. The company needs to clear these messages to prevent the queue from becoming blocked. A developer must implement a solution that makesqueue processing always operational. The solution must give the company the ability to defer the messages with errors and save these messages for further analysis. What is the MOST operationally efficient solution that meets these requirements?

A. Change the SQS queue to a FIFO queue. Configure the message retention period to 0 seconds.
B. Create a new SQS queue. Set the new queue as a dead-letter queue for the application queue. Configure the Maximum Receives setting.
C. Configure an Amazon CloudWatch alarm for Lambda function errors. Publish messages to an Amazon SNS topic to notify administrator users.
D. Configure Amazon CloudWatch Logs to save the error messages to a separate log stream.

Answer: B

Explanation:
Using a dead-letter queue (DLQ) with Amazon SQS is the most operationally efficient solution for handling unprocessable messages.
* Amazon SQS Dead-Letter Queue:
* A DLQ is used to capture messages that fail processing after a specified number of attempts.
* Allows the application to continue processing other messages without being blocked.
* Messages in the DLQ can be analyzed later for debugging and resolution.
* Why DLQ is the Best Option:
* Operational Efficiency: Automatically defers messages with errors, ensuring the queue is not blocked.
* Analysis Ready: Messages in the DLQ can be inspected to identify recurring issues.
* Scalable: Works seamlessly with Lambda and SQS at scale.
* Why Not Other Options:
* Option A: Logs the messages but does not resolve the queue blockage issue.
* Option C: FIFO queues and 0-second retention do not provide error handling or analysis capabilities.
* Option D: Alerts administrators but does not handle or store the unprocessable messages.
Steps to Implement:
* Create a new SQS queue to serve as the DLQ.
* Attach the DLQ to the primary queue and configure the Maximum Receives setting.

NEW QUESTION # 15
An ecommerce company operates a microservices-based application on AWS. The company updates an API for a payment-processing microservice in Amazon API Gateway. After the update, customers report intermittent HTTP 503 (Service Unavailable) error messages during checkout.
The company reviews error logs and notices elevated error rates. However, the logs do not provide enough detail to determine the specific cause of the failures. The company needs to determine the root cause of the errors.
Which solution will meet this requirement?

A. Use AWS X-Ray to instrument the payment-processing microservice with the default sampling rate.
B. Collect Amazon CloudWatch logs from the payment-processing microservice. Filter for error keywords and stack traces.
C. Use AWS X-Ray to generate a service map and to instrument critical logic with custom subsegments.
D. Set up an Amazon CloudWatch alarm based on the payment-processing microservice's 5xx error rate.

Answer: C

Explanation:
AWS X-Ray provides end-to-end tracing that helps identify where requests are failing across distributed microservices. By generating a service map and adding custom subsegments around critical logic, the company can gain detailed visibility into downstream calls, latency, and specific failure points, enabling accurate root cause analysis of the intermittent 503 errors.

NEW QUESTION # 16
A developer is building a serverless application by using the AWS Serverless Application Model (AWS SAM). The developer is currently testing the application in a development environment.
When the application is nearly finished, the developer will need to set up additional testing and staging environments for a quality assurance team.
The developer wants to use a feature of the AWS SAM to set up deployments to multiple environments.
Which solution will meet these requirements with the LEAST development effort?

A. Create additional AWS SAM templates for each testing and staging environment. Write a custom shell script that uses the sam deploy command and the --template-file flag to deploy updates to the environments.
B. Add a configuration file in TOML format to group configuration entries to every environment. Add a table for each testing and staging environment. Deploy updates to the environments by using the sam deploy command and the --config-env flag that corresponds to each environment.
C. Use the existing AWS SAM template. Add additional parameters to configure specific attributes for the serverless function and database table resources that are in each environment. Deploy updates to the testing and staging environments by using the sam deploy command.
D. Create one AWS SAM configuration file that has default parameters. Perform updates to the testing and staging environments by using the --parameter-overrides flag in the AWS SAM CLI and the parameters that the updates will override.

Answer: B

NEW QUESTION # 17
A company runs an internal reporting application that has hundreds of AWS Lambda functions.
The company must protect personally identifiable information (PII) that appears in the company's Amazon CloudWatch Logs log groups.
The company deploys a Lambda layer to redact generic PII, such as email addresses. A developer must ensure that company-specific PII, such as employee IDs, does not appear in the CloudWatch logs.
Which solution will meet these requirements?

A. Apply a CloudWatch data protection policy that uses a managed data identifier to the company's AWS account.
B. Run an Amazon Macie sensitive data discovery job. Use an AWS Systems Manager Automation runbook to redact the Macie job findings.
C. Run an Amazon Macie sensitive data discovery job. Use a Lambda function to redact the Macie job findings.
D. Apply a CloudWatch data protection policy that uses a custom data identifier to the company's AWS account.

Answer: D

Explanation:
A CloudWatch data protection policy can be applied at the account level to automatically detect and redact sensitive data in CloudWatch Logs before it is stored. By using a custom data identifier, the company can define patterns that match company-specific PII such as employee IDs, ensuring this data is redacted from all Lambda-generated logs without modifying existing functions or relying on post-processing.

NEW QUESTION # 18
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