Exam AWS Certified Developer - Associate DVA-C02 topic 1 question 212 discussion

A. Grant the Lambda function’s execution role permissions to upload logs to Amazon CloudWatch Logs. Implement a CloudWatch Logs Insights query that selects the number of unique customers for orders with order quantity equal to 0 and groups the results in 1-day periods. Add the CloudWatch Logs Insights query to a CloudWatch dashboard. Here's why this option is the best choice: CloudWatch Logs Insights is designed for querying and analyzing log data, making it well-suited for this task. By configuring the Lambda function's execution role to upload logs to CloudWatch Logs, you ensure that the log data is available for analysis. You can use a CloudWatch Logs Insights query to identify unique customers for orders with a quantity of 0 and group the results by day, providing the desired daily count of affected customers. The results of the query can be added to a CloudWatch dashboard, making it easily accessible for monitoring.

D is invalid. There are no such custom metrics: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/metrics-dimensions.html A is the right choice

I am with A

A is the correct answer.

This approach involves enhancing the existing Lambda function to log relevant information about orders (especially those with order quantity 0) to CloudWatch Logs. The developer can then use CloudWatch Logs Insights to query these logs for unique customer counts and visualize this data on a CloudWatch dashboard. This solution is feasible and effective, as it leverages the existing Lambda function and CloudWatch capabilities.

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Choose D Option A is more suitable for log analysis, but in this case, the issue is related to DynamoDB data, and CloudWatch Logs may not be the most efficient way to track it.

I choose A

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Option A suggests using CloudWatch Logs Insights, which is typically used for analyzing log data. However, in this scenario, the issue is related to metrics (order quantity), and using CloudWatch Metrics and Alarms is a more suitable approach. I'd go with option D. It seems like a more direct and efficient approach. By using custom CloudWatch metrics for the DynamoDB stream, you can specifically track the relevant data without the need for additional CloudWatch Logs Insights queries. The alarm will then allow you to easily visualize and monitor the number of unique customers affected by the issue each day on the CloudWatch dashboard.