DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Which TWO monitoring metrics in Azure Monitor for Azure Synapse Analytics dedicated SQL pool can help identify performance bottlenecks? (Choose two.)
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
✓
Queued queries
Queued queries (B) indicate concurrency bottlenecks when queries are waiting for resources, while data movement (shuffle) metrics (D) help identify performance issues caused by data redistribution during query execution. CPU percentage (A) is a general resource metric but not a specific bottleneck indicator for dedicated SQL pool. Storage used (C) relates to capacity planning, not performance bottlenecks. DWU used (E) shows overall resource consumption but does not pinpoint specific bottlenecks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
CPU percentage
Why it's wrong here
CPU usage is a resource metric, not a direct bottleneck indicator.
- ✓
Queued queries
Why this is correct
High number of queued queries indicates concurrency issues.
- ✗
Storage used
Why it's wrong here
Storage metric is for capacity planning.
- ✓
Data movement (shuffle) metrics
Why this is correct
High data movement can slow down queries.
- ✗
DWU used
Why it's wrong here
DWU usage indicates overall utilization, not specific bottleneck.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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