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Snowflake Exam DEA-C01 Topic 2 Question 31 Discussion

Actual exam question for Snowflake's DEA-C01 exam
Question #: 31
Topic #: 2
[All DEA-C01 Questions]

Assuming that the session parameter USE_CACHED_RESULT is set to false, what are characteristics of Snowflake virtual warehouses in terms of the use of Snowpark?

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Suggested Answer: A

Creating a DataFrame from a table will start a virtual warehouse because it requires reading data from Snowflake. The other options will not start a virtual warehouse because they either operate on local data or use an existing session to query Snowflake.


by Isadora at Aug 29, 2024, 12:11 AM

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Janessa
2 months ago
Ah, the joys of Snowflake and their virtual warehouses. At this rate, I'll need a whole farm of them to get anything done!
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Gail
24 days ago
C
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Pilar
1 months ago
B
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Cornell
1 months ago
A
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Marvel
2 months ago
Hmm, this is tricky. I'm leaning towards B and D, but C also seems plausible. I hope I get partial credit if I miss one!
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Haydee
1 months ago
Let's go with B and D for now, but keep C in mind just in case.
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Suzi
1 months ago
C could also be a possibility since transforming a DataFrame might trigger a virtual warehouse.
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Shannon
2 months ago
I agree, D makes sense too since calling a stored procedure would also need a virtual warehouse.
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Hyun
2 months ago
I think B is correct because reading from a staged file would require a virtual warehouse.
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Ressie
2 months ago
That's a good point, Viola. Calling a stored procedure does require processing power as well, so it could also trigger the virtual warehouse.
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Viola
2 months ago
I'm not sure about that, I think the answer might be D) Calling a Snowpark stored procedure to query the database with session, call () will start a virtual warehouse.
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Jose
2 months ago
I agree with Ressie, because when you create a DataFrame from a table, it requires processing power which triggers the virtual warehouse.
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Ressie
2 months ago
I think the answer is A) Creating a DataFrame from a table will start a virtual warehouse.
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Graciela
3 months ago
I'm pretty sure B and D are the correct answers here. Creating a DataFrame from a file and calling a stored procedure both require a virtual warehouse to be running.
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Whitney
2 months ago
Good to know that B and D are the correct answers for using Snowpark with virtual warehouses.
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Bette
2 months ago
Yes, that's correct. Those actions indeed require a virtual warehouse to be started.
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Olive
2 months ago
I think you're right, creating a DataFrame from a staged file and calling a stored procedure both trigger a virtual warehouse.
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Lelia
3 months ago
A, B, C, and D all sound like they would start a virtual warehouse. I guess Snowflake really wants us to use those warehouses!
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Ruby
1 months ago
D) Calling a Snowpark stored procedure to query the database with session, call () will start a virtual warehouse
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Jennifer
2 months ago
C) Transforming a DataFrame with methods like replace () will start a virtual warehouse
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Alida
2 months ago
B) Creating a DataFrame from a staged file with the read () method will start a virtual warehouse
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Lemuel
2 months ago
A) Creating a DataFrame from a table will start a virtual warehouse
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