DBS-C01 Management and Operations Practice Question
A company is running an Amazon DynamoDB table with on-demand capacity mode. The table experiences occasional throttling during peak hours. The application team wants to understand the read/write patterns to optimize the table design. Which approach should the database specialist take to analyze the throttling events?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable CloudWatch Contributor Insights for DynamoDB to identify throttled requests.
CloudWatch Contributor Insights analyzes high-cardinality attributes and provides detailed information about throttling requests, such as which items or partitions are causing throttling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable DynamoDB Accelerator (DAX) to cache reads and reduce throttling.
Why it's wrong here
DAX can improve read performance but does not help in analyzing throttling events.
- ✗
Use AWS CloudTrail to log all DynamoDB API calls and analyze the logs.
Why it's wrong here
CloudTrail logs API calls but does not provide detailed analysis of throttling events at the item level.
- ✗
Switch to provisioned capacity mode with auto scaling to handle the spikes.
Why it's wrong here
Changing capacity mode may reduce throttling but does not help in analyzing the root cause.
- ✓
Enable CloudWatch Contributor Insights for DynamoDB to identify throttled requests.
Why this is correct
Contributor Insights analyzes throttled requests and helps identify the top contributors, such as specific partition keys.
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