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Question 534 - SnowPro Core discussion

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How does the search optimization service help Snowflake users improve query performance?

A.

It scans the micro-partitions based on the joins used in the queries and scans only join columns.

Answers
A.

It scans the micro-partitions based on the joins used in the queries and scans only join columns.

B.

II maintains a persistent data structure that keeps track of the values of the table's columns m each of its micro-partitions.

Answers
B.

II maintains a persistent data structure that keeps track of the values of the table's columns m each of its micro-partitions.

C.

It scans the local disk cache to avoid scans on the tables used in the Query.

Answers
C.

It scans the local disk cache to avoid scans on the tables used in the Query.

D.

It keeps track of running queries and their results and saves those extra scans on the table.

Answers
D.

It keeps track of running queries and their results and saves those extra scans on the table.

Suggested answer: B

Explanation:

The search optimization service in Snowflake enhances query performance by maintaining a persistent data structure. This structure indexes the values of table columns across micro-partitions, allowing Snowflake to quickly identify which micro-partitions contain relevant data for a query. By efficiently narrowing down the search space, this service reduces the amount of data scanned during query execution, leading to faster response times and more efficient use of resources.

Reference: Snowflake Documentation on Search Optimization Service

asked 29/10/2024
Christodoulos Chiras
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