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Question 9 - DP-203 discussion

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You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date dimension table will be used by all the fact tables. Which distribution type should you recommend to minimize data movement?

A.
HASH
Answers
A.
HASH
B.
REPLICATE
Answers
B.
REPLICATE
C.
ROUND_ROBIN
Answers
C.
ROUND_ROBIN
Suggested answer: B

Explanation:

A replicated table has a full copy of the table available on every Compute node. Queries run fast on replicated tables since joins on replicated tables don't require data movement. Replication requires extra storage, though, and isn't practical for large tables.

Incorrect Answers:

A: A hash distributed table is designed to achieve high performance for queries on large tables. C: A round-robin table distributes table rows evenly across all distributions. The rows are distributed randomly. Loading data into a round-robin table is fast. Keep in mind that queries can require more data movement than the other distribution methods.

Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-overview

asked 02/10/2024
Ackim Sanuka
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