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Snowflake Certification
COF-C02 Exam
Snowflake.COF-C02.v2026-01-13.q618 Dumps

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Question 566

How long is Snowpipe data load history retained?

A.As configured in the create pipe settings
B.Until the pipe is dropped
C.64 days
D.14 days

Correct Answer: C

Bulk data load
Stored in the metadata of the target table for 64 days. Available upon completion of the COPY statement as the statement output.
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-intro.html#:~:text=Load%20History,-Bulk%20data%20load&text=Stored%20in%20the%20metadata%20of,statement%20as%20the%20statement%20output.&text=Stored%20in%20the%20metadata%20of%20the%20pipe%20for%2014%20days.

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Question 567

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

A.Avro
B.CSV
C.JSON
D.Parquet

Correct 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

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Question 568

Snowflake's hierarchical key mode includes which keys? (Select TWO).

A.Account master keys
B.Database master keys
C.File keys
D.Secure view keys
E.Schema master keys

Correct Answer: A,C

Snowflake's hierarchical key model includes several levels of keys, where Account master keys and File keys are part of this hierarchy. Account master keys are used to encrypt all the data within an account, while File keys are used to encrypt individual files within the database2.

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Question 569

Which semi-structured file formats are supported when unloading data from a table? (Select TWO).

A.ORC
B.XML
C.Avro
D.Parquet
E.JSON

Correct Answer: D,E

Semi-structured
JSON, Parquet
Snowflake supports unloading data in several semi-structured file formats, including Parquet and JSON. These formats allow for efficient storage and querying of semi-structured data, which can be loaded directly into Snowflake tables without requiring a predefined schema12.
https://docs.snowflake.com/en/user-guide/data-unload-prepare.html#:~:text=Supported%20File%20Formats,-The%20following%20file&text=Delimited%20(CSV%2C%20TSV%2C%20etc.)

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Question 570

When loading data into Snowflake, how should the data be organized?

A.Into single files with 100-250 MB of compressed data per file
B.Into single files with 1-100 MB of compressed data per file
C.Into files of maximum size of 1 GB of compressed data per file
D.Into files of maximum size of 4 GB of compressed data per file

Correct Answer: A

When loading data into Snowflake, it is recommended to organize the data into single files with 100-250 MB of compressed data per file. This size range is optimal for parallel processing and can help in achieving better performance during data loading operations. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide

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