DP-203 Develop data processing Practice Question
Which TWO actions can you take to optimize query performance in Azure Synapse Analytics dedicated SQL pool?
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
✓
Use replicated tables for small dimension tables
Correct: C and D. Replicated tables are optimal for small dimension tables because they avoid data movement during joins. Materialized views pre-compute and store aggregation results, improving query performance for common aggregations. A is incorrect because hash distribution on a low-cardinality column can lead to data skew and uneven distribution. B is incorrect because round-robin distribution is generally used for staging tables, not fact tables in a star schema. E is incorrect because increasing DWU is a scaling action, not a query optimization design choice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use hash distribution on a low-cardinality column
Why it's wrong here
Low-cardinality columns can cause data skew; high-cardinality is better.
- ✗
Use round-robin distribution for fact tables
Why it's wrong here
Round-robin can cause high data movement; hash distribution is preferred.
- ✓
Use replicated tables for small dimension tables
Why this is correct
Replicated tables eliminate data shuffling for joins with fact tables.
- ✓
Create materialized views for common aggregations
Why this is correct
Materialized views store pre-computed results, speeding up queries.
- ✗
Increase the DWU setting after every query
Why it's wrong here
This is a scaling action, not a design optimization.
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