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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:

Linn
1 months ago
Ha, I bet the answer is C and D - SYSTEMSCLUSTERING_DEPTH and SYSTEMSCLUSTERING_RATIO, because who doesn't love a good snowflake-themed pun?
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Gerald
1 months ago
Hmm, this is a tough one. I'm going to go with A and E, just because A sounds like it might be a general system function for clustering.
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Bettina
13 days ago
I think A and E are correct too. They sound like they could be related to clustering metadata.
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Lashawn
1 months ago
I'm going to guess B and D, since they seem to be more specific to clustering metadata for a table.
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Juliann
18 days ago
Let's go with B and D then.
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Daren
1 months ago
I agree, those seem to be related to clustering metadata for a table.
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Yen
1 months ago
I think B and D are the correct options.
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Tish
2 months ago
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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Nina
12 days ago
Let's go with C and E then, they sound like the most relevant choices.
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Dorcas
1 months ago
I agree, those options seem to be related to clustering metadata.
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Shawn
1 months ago
I think C and E are the correct answers.
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Eugene
2 months 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
2 months ago
I agree with Chi, those functions make sense for monitoring clustering metadata.
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Chi
3 months ago
I think the answer is A) SYSTEMSCLUSTERING and D) SYSTEMSCLUSTERING_RATIO.
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