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Question 16 - ARA-C01 discussion

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What is a key consideration when setting up search optimization service for a table?

A.
Search optimization service works best with a column that has a minimum of 100 K distinct values.
Answers
A.
Search optimization service works best with a column that has a minimum of 100 K distinct values.
B.
Search optimization service can significantly improve query performance on partitioned external tables.
Answers
B.
Search optimization service can significantly improve query performance on partitioned external tables.
C.
Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.
Answers
C.
Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.
D.
The table must be clustered with a key having multiple columns for effective search optimization.
Answers
D.
The table must be clustered with a key having multiple columns for effective search optimization.
Suggested answer: A

Explanation:

Search optimization service is a feature of Snowflake that can significantly improve the performance of certain types of lookup and analytical queries on tables.Search optimization service creates and maintains a persistent data structure called a search access path, which keeps track of which values of the table's columns might be found in each of its micro-partitions, allowing some micro-partitions to be skipped when scanning the table1.

Search optimization service can significantly improve query performance on partitioned external tables, which are tables that store data in external locations such as Amazon S3 or Google Cloud Storage.Partitioned external tables can leverage the search access path to prune the partitions that do not contain the relevant data, reducing the amount of data that needs to be scanned and transferred from the external location2.

The other options are not correct because:

A) Search optimization service works best with a column that has a high cardinality, which means that the column has many distinct values. However, there is no specific minimum number of distinct values required for search optimization service to work effectively.The actual performance improvement depends on the selectivity of the queries and the distribution of the data1.

C) Search optimization service does not help to optimize storage usage by compressing the data into a GZIP format. Search optimization service does not affect the storage format or compression of the data, which is determined by the file format options of the table.Search optimization service only creates an additional data structure that is stored separately from the table data1.

D) The table does not need to be clustered with a key having multiple columns for effective search optimization. Clustering is a feature of Snowflake that allows ordering the data in a table or a partitioned external table based on one or more clustering keys. Clustering can improve the performance of queries that filter on the clustering keys, as it reduces the number of micro-partitions that need to be scanned.However, clustering is not required for search optimization service to work, as search optimization service can skip micro-partitions based on any column that has a search access path, regardless of the clustering key3.

1:Search Optimization Service | Snowflake Documentation

2: Partitioned External Tables | Snowflake Documentation

3: Clustering Keys | Snowflake Documentation

asked 23/09/2024
George Sanchez
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