DBS-C01 Monitoring and Troubleshooting Practice Question
A company's Amazon Redshift cluster is experiencing slow query performance. The cluster has three nodes. The administrator wants to identify if the issue is due to data distribution skew. Which approach should be used?
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
✓
Query the STV_SLICES table to compare disk usage across slices.
The correct approach is to query the STV_SLICES table. STV_SLICES provides disk usage per slice, which can identify data distribution skew. Option A is wrong because STL_QUERY stores query execution times, not distribution. Option B is wrong because STV_WLM_SERVICE_STATE shows current workload management queue state. Option D is wrong because CloudWatch CPUUtilization measures CPU load, not data distribution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Examine the STL_QUERY table to analyze query execution times.
Why it's wrong here
STL_QUERY logs query text and times, not distribution.
- ✗
Check the STV_WLM_SERVICE_STATE table to see current queue state.
Why it's wrong here
STV_WLM_SERVICE_STATE shows queue state, not distribution.
- ✓
Query the STV_SLICES table to compare disk usage across slices.
Why this is correct
STV_SLICES shows disk usage per slice, indicating skew.
- ✗
Review CloudWatch metrics for CPUUtilization per node.
Why it's wrong here
CPUUtilization does not directly indicate distribution skew.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.