DBS-C01 Monitoring and Troubleshooting Practice Question
A company's Amazon Redshift cluster is experiencing slow query performance. Which THREE diagnostic steps should be taken to identify the bottleneck?
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 SVL_QUERY_REPORT to see step-level performance
To diagnose slow query performance in Amazon Redshift, you should query SVL_QUERY_REPORT to view step-level execution details (Option B), STL_QUERY to analyze query execution times (Option C), and STL_WLM_QUERY to check for WLM queue waits (Option D). Option A is incorrect because STL_LOAD_ERRORS is used for data load errors, not performance. Option E is incorrect because STV_BLOCKLIST shows disk block allocation, which is not directly related to query performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Query STL_LOAD_ERRORS to check for data load errors
Why it's wrong here
Load errors are not related to query performance.
- ✓
Query SVL_QUERY_REPORT to see step-level performance
Why this is correct
Shows time spent per step.
- ✓
Query STL_QUERY to analyze query execution times
Why this is correct
STL_QUERY shows query duration and rows.
- ✓
Query STL_WLM_QUERY to check for queue waits
Why this is correct
WLM queue waits can indicate resource contention.
- ✗
Query STV_BLOCKLIST to check disk allocation
Why it's wrong here
Disk allocation is not a performance diagnostic.
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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.