AWS Certified DevOps Engineer – Professional (DOP-C02) — Question 233

A company's application has an API that retrieves workload metrics. The company needs to audit, analyze, and visualize these metrics from the application to detect issues at scale.

Which combination of steps will meet these requirements? (Choose three.)

Answer options

• A. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon S3 bucket.
• B. Configure an Amazon EventBridge schedule to invoke an AWS Lambda function that calls the API to retrieve workload metrics. Store the workload metric data in an Amazon DynamoDB table that has a DynamoDB stream enabled.
• C. Create an AWS Glue crawler to catalog the workload metric data in the Amazon S3 bucket. Create views in Amazon Athena for the cataloged data.
• D. Connect an AWS Glue crawler to the Amazon DynamoDB stream to catalog the workload metric data. Create views in Amazon Athena for the cataloged data.
• E. Create Amazon QuickSight datasets from the Amazon Athena views. Create a QuickSight analysis to visualize the workload metric data as a dashboard.
• F. Create an Amazon CloudWatch dashboard that has custom widgets that invoke AWS Lambda functions. Configure the Lambda functions to query the workload metrics data from the Amazon Athena views.

Correct answer: A, C, E

Explanation

The correct steps are A, C, and E. Step A retrieves the workload metrics and stores them in Amazon S3, while step C catalogs this data for analysis and step E visualizes the data using Amazon QuickSight. Options B and D are incorrect because they involve using DynamoDB, which is not necessary for this scenario, and the focus should be on S3 and Athena for analysis and visualization.