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Question 68 - DP-203 discussion

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You build a data warehouse in an Azure Synapse Analytics dedicated SQL pool. Analysts write a complex SELECT query that contains multiple JOIN and CASE statements to transform data for use in inventory reports. The inventory reports will use the data and additional WHERE parameters depending on the report. The reports will be produced once daily.

You need to implement a solution to make the dataset available for the reports. The solution must minimize query times. What should you implement?

A.
an ordered clustered columnstore index
Answers
A.
an ordered clustered columnstore index
B.
a materialized view
Answers
B.
a materialized view
C.
result set caching
Answers
C.
result set caching
D.
a replicated table
Answers
D.
a replicated table
Suggested answer: B

Explanation:

Materialized views for dedicated SQL pools in Azure Synapse provide a low maintenance method for complex analytical queries to get fast performance without any query change. Incorrect Answers:

C: One daily execution does not make use of result cache caching. Note: When result set caching is enabled, dedicated SQL pool automatically caches query results in the user database for repetitive use. This allows subsequent query executions to get results directly from the persisted cache so recomputation is not needed. Result set caching improves query performance and reduces compute resource usage. In addition, queries using cached results set do not use any concurrency slots and thus do not count against existing concurrency limits.

Reference:

https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/performance-tuning-materialized-views https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/performance-tuning-result-set-caching

asked 02/10/2024
Ibrahim mazou Ismael
45 questions
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