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Exam SnowPro Core All Questions

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Exam SnowPro Core topic 1 question 189 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 189
Topic #: 1
[All SnowPro Core Questions]

Why does Snowflake recommend file sizes of 100-250 MB compressed when loading data?

  • A. Optimizes the virtual warehouse size and multi-cluster setting to economy mode
  • B. Allows a user to import the files in a sequential order
  • C. Increases the latency staging and accuracy when loading the data
  • D. Allows optimization of parallel operations
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Suggested Answer: D 🗳️

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_yyukta
8 months, 3 weeks ago
Selected Answer: D
D. Allows optimization of parallel operations
upvoted 1 times
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Marge23
1 year, 2 months ago
Selected Answer: D
D correct
upvoted 2 times
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lukalooko
1 year, 3 months ago
Selected Answer: D
Correct. Another thing to keep in mind in actual operation in utilizing, for example a Snowpipe, it is less costly to have lots of data in large compiled files flowing through a Snowpipe. For every 1,000 files queued, you have to pay for 0.06 credits. I have tested this myself.
upvoted 1 times
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MultiCloudIronMan
1 year, 3 months ago
Selected Answer: D
Correct
upvoted 1 times
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c0d3g
1 year, 7 months ago
Selected Answer: D
Allows optimization of parallel operations https://docs.snowflake.com/en/user-guide/data-load-considerations-prepare
upvoted 1 times
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SV1122
1 year, 10 months ago
To optimize the number of parallel operations for a load, we recommend aiming to produce data files roughly 100-250 MB (or larger) in size compressed.
upvoted 2 times
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halol
1 year, 11 months ago
Selected Answer: D
https://docs.snowflake.com/en/user-guide/data-load-considerations-prepare.html
upvoted 2 times
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