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Exam SnowPro Core All Questions

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Exam SnowPro Core topic 1 question 1113 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 1113
Topic #: 1
[All SnowPro Core Questions]

How does Snowflake utilize clustering information to improve query performance?

  • A. It prunes unnecessary micro-partitions based on clustering metadata.
  • B. It compresses the data within micro-partitions for faster querying.
  • C. It automatically allocates additional resources to improve query execution.
  • D. It organizes clustering information to speed-up data retrieval from storage.
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Suggested Answer: A 🗳️

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compa_ese
2 months, 4 weeks ago
Selected Answer: A
Snowflake uses clustering metadata to identify and eliminate irrelevant micro-partitions during query execution, which significantly improves query performance by reducing the amount of data scanned.
upvoted 1 times
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Lematthew31
3 months, 1 week ago
Selected Answer: A
I would say A
upvoted 1 times
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kingdom1
3 months, 2 weeks ago
Selected Answer: B
I think answer is B. Benefits of Defining Clustering Keys (for Very Large Tables): Better column compression than in tables with no clustering. This is especially true when other columns are strongly correlated with the columns that comprise the clustering key.
upvoted 1 times
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A (35%)
C (25%)
B (20%)
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