AWS Certified Developer Associate DVA-C02 Practice Question
A software engineer needs to enhance an application's observability by tracking the frequency of new user registrations each minute. The application resides on a widely-used cloud platform. Which technique would enable the engineer to most effectively monitor this activity and facilitate immediate analysis?
Increment a counter attribute within a managed NoSQL database service for each registration
Invoke a serverless computing service to periodically tally the signup events
Capture user registration events in a bucket service for objects for later retrieval and manual inspection
Use the monitoring service's API for custom metric data submission for direct ingestion and analysis
The technique involving the submission of custom metrics directly to the monitoring service provided by the cloud platform allows for immediate ingestion, storage, and real-time analysis. This service is designed for flexibility and scalability in metric collection, making it ideal for specific, custom reporting scenarios like tracking user signups per minute. Storing logs in a bucket designed for object storage or updating a NoSQL database whenever a new user registers would indeed capture the event data but would not offer the advantages of real-time metric analysis, dashboards, or alerting capabilities inherently available through the monitoring service's API. While a serverless function could assist in some automation scenarios, it is not a direct method for metric submission and would typically be leveraged to orchestrate interactions with the API rather than function as a standalone solution.
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AWS Certified Developer Associate DVA-C02
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