A company sells products through an ecommerce web application. The company wants a dashboard that shows a pie chart of product transaction details. The company wants to integrate the dashboard with the company's existing Amazon CloudWatch dashboards.
Which solution will meet these requirements with the MOST operational efficiency?

A. Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction. Use CloudWatch Logs Insights to query the log group and to visualize the results in a pie chart format. Attach the results to the desired CloudWatch dashboard.

B. Update the ecommerce application to emit a JSON object to an Amazon S3 bucket for each processed transaction. Use Amazon Athena to query the S3 bucket and to visualize the results in a pie chart format. Export the results from Athena. Attach the results to the desired CloudWatch dashboard.

C. Update the ecommerce application to use AWS X-Ray for instrumentation. Create a new X-Ray subsegment. Add an annotation for each processed transaction. Use X-Ray traces to query the data and to visualize the results in a pie chart format. Attach the results to the desired CloudWatch dashboard.

D. Update the ecommerce application to emit a JSON object to a CloudWatch log group for each processed transaction. Create an AWS Lambda function to aggregate and write the results to Amazon DynamoDB. Create a Lambda subscription filter for the log file. Attach the results to the desired CloudWatch dashboard.








 

Suggested Answer: B

Community Answer: A




This question is in DOP-C02 AWS Certified DevOps Engineer – Professional Exam
For getting AWS Certified DevOps Engineer – Professional Certificate


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