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DP-203 Practice Question: You have an Azure Synapse Analytics dedicated SQL…
You have an Azure Synapse Analytics dedicated SQL pool. You notice that some queries are taking longer than expected. After reviewing the query plans, you see that some queries are spilling to tempdb. What should you do to reduce tempdb spills?
⚠ Common exam trap
It's easy for candidates to confuse performance tuning techniques like indexing or partitioning with memory management, assuming any optimization will fix spills, when only increasing memory allocation (via resource class) directly addresses the root 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
✓
Increase the resource class for the user executing the queries.
Tempdb spills occur when a query requires more memory than is allocated to it, forcing intermediate results to be written to disk. Increasing the resource class for the user executing the queries allocates more memory to that user's queries, reducing the likelihood of spills. This directly addresses the memory constraint that causes spills in a dedicated SQL pool.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the resource class for the user executing the queries.
Why this is correct
Larger resource class allocates more memory, reducing tempdb spills.
- ✗
Redistribute the tables using hash distribution.
Why it's wrong here
Distribution choice affects data movement, not memory per query.
- ✗
Rebuild all columnstore indexes.
Why it's wrong here
Rebuilding indexes improves performance but does not reduce memory spills.
- ✗
Add partitioning to the tables.
Why it's wrong here
Partitioning helps with data management, not memory allocation.
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