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Snowflake Exam COF-C02 Topic 8 Question 55 Discussion

Actual exam question for Snowflake's COF-C02 exam
Question #: 55
Topic #: 8
[All COF-C02 Questions]

When unloading data, which file format preserves the data values for floating-point number columns?

Show Suggested Answer Hide Answer
Suggested Answer: D

When unloading data, the Parquet file format is known for its efficiency in preserving the data values for floating-point number columns. Parquet is a columnar storage file format that offers high compression ratios and efficient data encoding schemes. It is especially effective for floating-point data, as it maintains high precision and supports efficient querying and analysis.

References:

Snowflake Documentation: Using the Parquet File Format for Unloading Data


Contribute your Thoughts:

Lettie
4 days ago
I would go with D) Parquet as well, it supports advanced data types and is optimized for performance.
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Yoko
5 days ago
JSON? Are we building a rocket or analyzing data? Parquet is the clear winner here.
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Natalie
5 days ago
I'm not sure, but I think Avro is also a good option for preserving data values.
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Levi
1 months ago
I agree with Ronnie, Parquet is designed to efficiently store nested data structures.
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Ceola
1 months ago
CSV? More like 'Can't Save Values'. Parquet is the answer, hands down.
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Penney
1 months ago
Avro? Nah, that's for space aliens. Parquet is the way to go for those precious floating-point numbers.
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Shizue
11 days ago
Avro may be for space aliens, but Parquet is the real deal for floating-point numbers.
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Paulene
15 days ago
I agree, Parquet is the way to go for sure.
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Jaleesa
17 days ago
Parquet is definitely the best choice for preserving floating-point numbers.
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Ronnie
1 months ago
I think the answer is D) Parquet.
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