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Exam SnowPro Core All Questions

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Exam SnowPro Core topic 1 question 10 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 10
Topic #: 1
[All SnowPro Core Questions]

Which statement best describes `clustering`?

  • A. Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
  • B. The database administrator must define the clustering methodology for each Snowflake table
  • C. The clustering key must be included on the COPY command when loading data into Snowflake
  • D. Clustering can be disabled within a Snowflake account
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Suggested Answer: A 🗳️

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Mallikharjuna452
4 months ago
A. Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
upvoted 1 times
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AnireddySaikiranReddy
8 months, 2 weeks ago
gthyjtytyy
upvoted 1 times
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AnireddySaikiranReddy
8 months, 4 weeks ago
A.Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
upvoted 2 times
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_yyukta
9 months ago
Selected Answer: A
A.Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
upvoted 1 times
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KHarish
11 months, 3 weeks ago
A.Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
upvoted 1 times
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VS3497
1 year, 5 months ago
A.Clustering represents the way data is grouped together and stored within Snowflake's micro-partitions
upvoted 1 times
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instride
1 year, 5 months ago
Selected Answer: A
A is correct
upvoted 1 times
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Mayuri917233
1 year, 6 months ago
Selected Answer: A
A is correct
upvoted 1 times
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Tapasgup007
1 year, 11 months ago
Selected Answer: A
A is correct
upvoted 2 times
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bpxgeek
2 years, 8 months ago
Selected Answer: A
A IS TH GOOD ANSWER
upvoted 2 times
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arpit_dataguy
2 years, 9 months ago
Selected Answer: A
Strongly agree, A is the correct the correct answer.
upvoted 1 times
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Sundarr
2 years, 9 months ago
https://docs.snowflake.com/en/user-guide/tables-clustering-micropartitions.html In Snowflake, as data is inserted/loaded into a table, clustering metadata is collected and recorded for each micro-partition created during the process. Snowflake then leverages this clustering information to avoid unnecessary scanning of micro-partitions during querying, significantly accelerating the performance of queries that reference these columns.
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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