To pinpoint which partition keys are causing throttling on your DynamoDB table using Contributor Insights, what is the most effective method?

hard🚀 Application Q8 of 15

DynamoDB - Cost Optimization and Monitoring

AEnable Contributor Insights on the table and analyze the top contributors in CloudWatch metrics for throttled requests

BUse DynamoDB Streams to capture throttled requests and filter by partition key

CManually scan the table for keys with the highest read/write capacity units consumed

DEnable Auto Scaling and rely on its logs to identify throttled keys

Step-by-Step Solution

Solution:

Step 1: Understand throttling detection
Contributor Insights tracks contributors causing throttling by showing top partition keys in metrics.
Step 2: Evaluate alternatives
DynamoDB Streams do not provide throttling info; manual scans are inefficient; Auto Scaling logs don't identify keys.
Final Answer:
Enable Contributor Insights on the table and analyze the top contributors in CloudWatch metrics for throttled requests -> Option A
Quick Check:
Contributor Insights directly identifies throttling contributors. [OK]

Quick Trick: Use Contributor Insights metrics to find throttled partition keys [OK]

Common Mistakes:

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