The correct answer is B. COPY .
Snowpipe loads data using a pipe object. The pipe definition contains a COPY INTO < table > statement that tells Snowflake how to load staged files into a target table.
Why B is correct:
Snowpipe automates loading staged files, but the actual load operation is still based on the COPY INTO < table > command.
Example:
CREATE PIPE my_pipe
AS
COPY INTO my_table
FROM @my_stage
FILE_FORMAT = (TYPE = CSV);
Why the other options are incorrect:
A). INSERT adds rows manually or through query results, but Snowpipe does not use INSERT as its load command.
C). UPDATE modifies existing rows and is not used by Snowpipe for loading files.
D). MERGE performs insert/update/delete logic based on matching conditions, but Snowpipe uses COPY INTO < table > for file ingestion.
Official Snowflake documentation reference:
Snowflake documentation explains that a pipe defines a COPY INTO < table > statement used by Snowpipe to load data from staged files.
Reference: Snowflake Documentation - Snowpipe; Snowflake Documentation - CREATE PIPE; Snowflake Documentation - COPY INTO < table > ; SnowPro Core Study Guide - Data Loading and Unloading.
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The feature in Snowflake that allows a user to substitute a randomly generated identifier for sensitive data before loading it into Snowflake is known as External Tokenization. This process helps to secure sensitive data by ensuring that it is not exposed in its original form, thus preventing unauthorized access3.

Reference:https://docs.snowflake.com/en/user-guide/data-failsafe.html
Separate and distinct from Time Travel, Fail-safe ensures historical data is protected in the event of a system failure or other catastrophic event, e.g. a hardware failure or security breach. Fail-safe feature cannot be enabled or disabled from the user end.