DBS-C01 Monitoring and Troubleshooting Practice Question
Which THREE steps should be taken to troubleshoot an Amazon DynamoDB table that is experiencing high read latency?
⚠ Common exam trap
Many candidates confuse write capacity adjustments with read performance fixes, or assume disabling auto scaling is a troubleshooting step, when in fact auto scaling is a best practice for maintaining consistent throughput.
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
✓
Review the table's partition distribution using DynamoDB metrics.
High read latency in DynamoDB can result from uneven partition distribution, where a 'hot' partition receives more read requests than others, causing throttling or increased latency. By reviewing the table's partition distribution using CloudWatch metrics like `ConsumedReadCapacityUnits` per partition, you can identify skewed access patterns and address them with strategies like partition key redesign or adaptive capacity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Review the table's partition distribution using DynamoDB metrics.
Why this is correct
Uneven partition distribution can cause hot partitions and high latency.
- ✗
Increase the write capacity of the table.
Why it's wrong here
Write capacity does not affect read latency.
- ✓
Monitor the ConsumedReadCapacityUnits metric.
Why this is correct
ConsumedReadCapacityUnits shows actual read usage.
- ✗
Disable auto scaling to prevent unexpected capacity changes.
Why it's wrong here
Disabling auto scaling may cause throttling.
- ✓
Check the ThrottledReadEvents metric to see if reads are being throttled.
Why this is correct
ThrottledReadEvents directly indicates throttling.
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Senior Network & Security Engineer · founder of Courseiva
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