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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-01-13.q618 Dumps
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Question 301

How can staged files be removed during data loading once the files have loaded successfully?

Correct Answer: B
To remove staged files during data loading after they have been successfully loaded, the PURGE copy option is used in Snowflake.
PURGE Option: This option automatically deletes files from the stage after they have been successfully copied into the target table.
Usage:
FROM @my_stage
FILE_FORMAT = (type = 'csv')
PURGE = TRUE;
Reference:
Snowflake Documentation on COPY INTO
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Question 302

Which use case does the search optimization service support?

Correct Answer: B
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Question 303

Which statement will trigger a stream to advance its offset?

Correct Answer: D
* A stream in Snowflake tracks changes (e.g., inserts, updates, and deletes) to a table. Its offset advances only when the stream is consumed or re-created.
* CREATE OR REPLACE STREAM triggers the stream to reset its offset, effectively advancing it by overwriting the existing stream definition.
* Other operations like querying the stream (SELECT) or applying changes (INSERT) would also advance offsets, but only CREATE OR REPLACE affects the offset in this context.
Why Other Options Are Incorrect:
* A. DESCRIBE STREAM: Does not affect the stream offset; it only retrieves metadata.
* B. ALTER STREAM: Modifies the stream properties but does not advance the offset.
* C. DROP STREAM: Deletes the stream but does not advance its offset.
References:
* Snowflake Streams Documentation
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Question 304

Which command should be used to load data from a file, located in an external stage, into a table in Snowflake?

Correct Answer: D
The COPY command is used in Snowflake to load data from files located in an external stage into a table. This command allows for efficient and parallelized data loading from various file formats1.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
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Question 305

If 3 size Small virtual warehouse is made up of two servers, how many servers make up a Large warehouse?

Correct Answer: B
In Snowflake, each size increase in virtual warehouses doubles the number of servers. Therefore, if a size Small virtual warehouse is made up of two servers, a Large warehouse, which is two sizes larger, would be made up of eight servers (2 servers for Small, 4 for Medium, and 8 for Large)2.
Size specifies the amount of compute resources available per cluster in a warehouse. Snowflake supports the following warehouse sizes:

https://docs.snowflake.com/en/user-guide/warehouses-overview.html
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