Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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

by Haydee at Aug 08, 2024, 04:18 PM

Limited Time Offer

25%

Off

Get Premium ARA-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Linn
3 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?
upvoted 0 times
...
Gerald
3 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.
upvoted 0 times
Walton
2 months ago
I agree, A and E seem like the most likely options for viewing and monitoring clustering metadata.
upvoted 0 times
...
Lavonne
2 months ago
I'm not sure about E, but A definitely seems like it could be one of the functions used for monitoring clustering metadata.
upvoted 0 times
...
Bettina
2 months ago
I think A and E are correct too. They sound like they could be related to clustering metadata.
upvoted 0 times
...
...
Lashawn
3 months ago
I'm going to guess B and D, since they seem to be more specific to clustering metadata for a table.
upvoted 0 times
Juliann
2 months ago
Let's go with B and D then.
upvoted 0 times
...
Daren
3 months ago
I agree, those seem to be related to clustering metadata for a table.
upvoted 0 times
...
Yen
3 months ago
I think B and D are the correct options.
upvoted 0 times
...
...
Tish
4 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.
upvoted 0 times
Nina
2 months ago
Let's go with C and E then, they sound like the most relevant choices.
upvoted 0 times
...
Dorcas
3 months ago
I agree, those options seem to be related to clustering metadata.
upvoted 0 times
...
Shawn
3 months ago
I think C and E are the correct answers.
upvoted 0 times
...
...
Eugene
4 months ago
I'm not sure about the answer, but I think it's important to understand how to monitor clustering in Snowflake.
upvoted 0 times
...
Lashunda
4 months ago
I agree with Chi, those functions make sense for monitoring clustering metadata.
upvoted 0 times
...
Chi
4 months ago
I think the answer is A) SYSTEMSCLUSTERING and D) SYSTEMSCLUSTERING_RATIO.
upvoted 0 times
...

Save Cancel