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Snowflake Exam ARA-C01 Topic 2 Question 33 Discussion

Actual exam question for Snowflake's ARA-C01 exam
Question #: 33
Topic #: 2
[All ARA-C01 Questions]

What Snowflake system functions are used to view and or monitor the clustering metadata for a table? (Select TWO).

Show Suggested Answer Hide Answer
Suggested Answer: C

Effective pruning in Snowflake relies on the organization of data within micro-partitions. By using an ORDER BY clause with clustering keys when loading data into the reporting tables, Snowflake can better organize the data within micro-partitions. This organization allows Snowflake to skip over irrelevant micro-partitions during a query, thus improving query performance and reducing the amount of data scanned12.


* Snowflake Documentation on micro-partitions and data clustering2

* Community article on recognizing unsatisfactory pruning and improving it1

Contribute your Thoughts:

I think C and E are the correct answers, as they look like they would provide information about the clustering depth and ratio for a table.
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Eugene
18 days ago
I'm not sure about the answer, but I think it's important to understand how to monitor clustering in Snowflake.
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Lashunda
21 days ago
I agree with Chi, those functions make sense for monitoring clustering metadata.
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Chi
24 days ago
I think the answer is A) SYSTEMSCLUSTERING and D) SYSTEMSCLUSTERING_RATIO.
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