Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your Azure Synapse Analytics dedicated SQL pool is experiencing performance degradation. Queries that previously completed in seconds now take minutes. You notice high queue wait times in sys.dm_pdw_exec_requests. What is the most likely cause?
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
✓
Concurrency throttling due to insufficient resources
High queue wait times in sys.dm_pdw_exec_requests indicate that queries are waiting for resources, typically due to concurrency throttling when the number of concurrent queries exceeds the capacity of the current Service Level Objective (SLO). Option A (outdated statistics) can cause suboptimal execution plans but not necessarily queue waits. Option B (a single long-running query) would show high execution time for that query, not queue waits for others. Option D (data skew) leads to uneven distribution and slow data movement, not directly to queue waits.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Outdated statistics
Why it's wrong here
Outdated stats cause suboptimal execution plans, not queue waits.
- ✗
A single long-running query blocking others
Why it's wrong here
Blocking would show as lock waits, not queue waits.
- ✓
Concurrency throttling due to insufficient resources
Why this is correct
Queue waits indicate queries are waiting for slots; increase SLO or optimize concurrency.
- ✗
Data skew in distribution
Why it's wrong here
Data skew causes unbalanced processing, not queue waits.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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