DP-203 Design and implement data storage Practice Question
Which THREE factors should be considered when designing a partitioning strategy for a large fact table in Azure Synapse Analytics dedicated SQL pool?
⚠ Common exam trap
Many candidates confuse distribution key (which controls data placement across nodes) with partition column (which controls data organization within a node), leading them to incorrectly select distribution key as a partitioning factor.
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
✓
Data compression
Data compression is a key factor in partitioning strategy because it directly impacts storage efficiency and query performance. In Azure Synapse Analytics dedicated SQL pool, columnstore compression is applied per partition, and choosing the right compression level (e.g., COLUMNSTORE vs. COLUMNSTORE_ARCHIVE) can significantly reduce I/O and improve scan speeds for large fact tables.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Index type
Why it's wrong here
Index strategy is separate.
- ✓
Data compression
Why this is correct
Partition size affects compression efficiency.
- ✗
Distribution key
Why it's wrong here
Not directly related to partitioning.
- ✓
Partition column
Why this is correct
Determines partition boundaries and elimination.
- ✓
Number of partitions
Why this is correct
Impacts performance and maintenance.
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