Identify Hot Partitions in DynamoDB
A company has a production Amazon DynamoDB table with on-demand capacity. The table experiences occasional throttling due to hot partitions. The operations team wants to implement a solution to identify the specific partition keys causing the throttling. What is the MOST efficient approach?
Quick Answer
The answer is to enable Amazon CloudWatch Contributor Insights for DynamoDB. This service analyzes table access logs to automatically surface the most frequently accessed partition keys, directly revealing which specific keys are creating hot partitions and causing throttling. On the AWS Certified Database Specialty DBS-C01 exam, this question tests your ability to distinguish between monitoring tools: Contributor Insights is purpose-built for identifying top talkers and hot keys in DynamoDB, whereas options like CloudWatch Logs Insights, X-Ray, or DynamoDB Streams lack partition-level granularity. A common trap is reaching for CloudWatch Logs Insights, but that requires enabling VPC Flow Logs and manual querying, making it far less efficient than Contributor Insights, which provides automatic, real-time analysis. Memory tip: think of Contributor Insights as a “hot key spotlight” — it shines directly on the partition keys causing the heat, while other tools only show the smoke.
⚠ Common exam trap
Many candidates confuse DynamoDB Streams (which capture change data) with a tool for monitoring read traffic or access patterns, leading them to choose Option D despite Streams being designed for event-driven processing, not diagnostic analysis of hot partitions.
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 Amazon CloudWatch Contributor Insights for DynamoDB.
Amazon CloudWatch Contributor Insights for DynamoDB is the most efficient solution because it automatically analyzes DynamoDB request metadata to identify the most frequently accessed partition keys, including those causing throttling. It provides near real-time top-N contributor reports without requiring application changes, custom logging, or additional stream processing, making it purpose-built for diagnosing hot partition issues.
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 AWS X-Ray tracing on the application and analyze traces.
Why it's wrong here
X-Ray traces requests but does not reveal specific partition keys causing throttling.
- ✗
Enable VPC Flow Logs and use CloudWatch Logs Insights to query the logs.
Why it's wrong here
VPC Flow Logs capture network traffic, not DynamoDB partition access.
- ✓
Enable Amazon CloudWatch Contributor Insights for DynamoDB.
Why this is correct
Contributor Insights analyzes access patterns and identifies top partition keys.
- ✗
Enable DynamoDB Streams and process the stream records to identify hot keys.
Why it's wrong here
Streams capture item changes, not read/write access patterns.
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Variation 1. 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?
hard- A.Enable DynamoDB Accelerator (DAX) to cache reads and reduce throttling.
- B.Use AWS CloudTrail to log all DynamoDB API calls and analyze the logs.
- C.Switch to provisioned capacity mode with auto scaling to handle the spikes.
- ✓ D.Enable CloudWatch Contributor Insights for DynamoDB to identify throttled requests.
Why D: CloudWatch Contributor Insights analyzes high-cardinality attributes and provides detailed information about throttling requests, such as which items or partitions are causing throttling.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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