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Snowflake Certification
COF-C03 Exam
Snowflake.COF-C03.v2026-06-01.q489 Dumps

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Question 196

What does a masking policy consist of in Snowflake?

A.A single data type, with one or more conditions, and one or more masking functions
B.A single data type, with only one condition, and only one masking function
C.Multiple data types, with only one condition, and one or more masking functions
D.Multiple data types, with one or more conditions, and one or more masking functions

Correct Answer: A

A masking policy in Snowflake consists of a single data type, with one or more conditions, and one or more masking functions.These components define how the data is masked based on the specified conditions3.

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Question 197

When snaring data in Snowflake. what privileges does a Provider need to grant along with a share? (Select TWO).

A.USAGE on the specific tables in the database.
B.USAGE on the specific tables in the database.
C.MODIFY on 1Mb specific tables in the database.
D.USAGE on the database and the schema containing the tables to share
E.OPEBATE on the database and the schema containing the tables to share.

Correct Answer: A,D

When sharing data in Snowflake, the provider needs to grant the following privileges along with a share:
A . USAGE on the specific tables in the database: This privilege allows the consumers of the share to access the specific tables included in the share.
D . USAGE on the database and the schema containing the tables to share: This privilege is necessary for the consumers to access the database and schema levels, enabling them to access the tables within those schemas.
These privileges are crucial for setting up secure and controlled access to the shared data, ensuring that only authorized users can access the specified resources.
Reference to Snowflake documentation on sharing data and managing access:
Data Sharing Overview
Privileges Required for Sharing Data

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Question 198

Which table type is used in the file processing pipeline to process unstructured data in Snowflake?

A.Transient
B.Standard
C.Directory
D.Temporary

Correct Answer: C

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Question 199

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

Snowpipe data load history is retained for 64 days. This retention period allows users to review and audit the data load operations performed by Snowpipe over a significant period of time, which can be crucial for troubleshooting and ensuring data integrity.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Snowpipe1

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Question 200

Taking which step will minimize the number of queries waiting to run on a virtual warehouse?

A.Increase the WAREHOUSE_SIZE.
B.Increase the value of the AUTO_SUSPEND parameter.
C.Set the WAIT_FOR_COMPLETION parameter to FALSE.
D.Increase the value of the MAX_CLUSTER_COUNT.

Correct Answer: D

The correct answer is D. Increase the value of the MAX_CLUSTER_COUNT .
Queries wait in a queue when a warehouse does not have enough available compute capacity to handle the current concurrency. For a multi-cluster warehouse, increasing MAX_CLUSTER_COUNT allows Snowflake to start more clusters when concurrency increases.
Why D is correct:
Increasing MAX_CLUSTER_COUNT allows a multi-cluster warehouse in Auto-scale mode to add more clusters, up to the configured maximum. This helps reduce query queuing for concurrent workloads.
Why the other options are incorrect:
A). Increasing WAREHOUSE_SIZE gives each cluster more compute power, which can help individual queries run faster, but it is not the best direct solution for reducing queued concurrent queries.
B). Increasing AUTO_SUSPEND keeps the warehouse running longer but does not increase concurrency capacity.
C). WAIT_FOR_COMPLETION = FALSE is used with warehouse resize behavior and does not reduce query queuing.
Official Snowflake documentation reference:
Snowflake documentation explains that multi-cluster warehouses improve concurrency by starting additional clusters as query demand increases. The MAX_CLUSTER_COUNT property defines the maximum number of clusters that can run.
Reference: Snowflake Documentation - Multi-cluster warehouses; Snowflake Documentation - Warehouse properties; SnowPro Core Study Guide - Snowflake Account and Resource Management.

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