Question 217 of 760
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. You notice that some queries are being queued due to resource class conflicts. What should you implement to optimize performance and reduce queuing?
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
✓
Configure workload management with workload groups and classifiers
Workload management with workload groups and classifiers allows you to assign queries to different resource classes and prioritize them, directly addressing resource class conflicts and reducing queuing. Option A is incorrect: scaling the pool to a higher DWU increases overall resources but does not specifically manage resource class contention; it may also incur additional cost without solving the root issue. Option C is incorrect: materialized views improve query performance by pre-aggregating data but do not affect concurrency or queuing. Option D is incorrect: result-set caching reduces repeated computation for identical queries but does not resolve queuing caused by resource class conflicts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Scale the dedicated SQL pool to a higher DWU level
Why it's wrong here
Scaling addresses throughput but not resource class conflicts directly.
- ✓
Configure workload management with workload groups and classifiers
Why this is correct
Workload management allows you to assign appropriate resources to queries based on their priority, reducing conflicts.
- ✗
Create materialized views for the most common aggregations
Why it's wrong here
Materialized views improve query performance but do not address resource class conflicts.
- ✗
Enable result-set caching for frequently run queries
Why it's wrong here
Result-set caching improves query response time but does not reduce queuing due to resource class conflicts.
Visual reference
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Last reviewed: Jun 21, 2026
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