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Question 440 - COF-C02 discussion

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What consideration should be made when loading data into Snowflake?

A.
Create small data files and stage them in cloud storage frequently.
Answers
A.
Create small data files and stage them in cloud storage frequently.
B.
Create large data files to maximize the processing overhead for each file.
Answers
B.
Create large data files to maximize the processing overhead for each file.
C.
The number of load operations That run in parallel can exceed the number of data files to be loaded.
Answers
C.
The number of load operations That run in parallel can exceed the number of data files to be loaded.
D.
The number of data files that are processed in parallel is determined by the virtual warehouse.
Answers
D.
The number of data files that are processed in parallel is determined by the virtual warehouse.
Suggested answer: D

Explanation:

When loading data into Snowflake, one critical consideration is the parallel processing capability of the virtual warehouse used for the data loading operation. The number of data files that can be processed in parallel during a loading operation is determined by the size and resources of the virtual warehouse. A larger warehouse can process more files simultaneously, improving the efficiency and speed of data loading operations. Optimizing the size of the virtual warehouse according to the data loading needs and the size and number of files to be loaded can significantly impact the overall performance of the data loading process.

References:

Snowflake Documentation: Optimizing Data Loading

asked 23/09/2024
Stefano Humphries
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