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Snowflake Certification
COF-C02 Exam
Snowflake.COF-C02.v2026-03-16.q834 Dumps

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Question 41

Which Snowflake function and command combination should be used to convert rows in a relational table to a single VARIANT column, and unload the rows Into a file in JSON format? (Select TWO).

A.PUT
B.GET
C.COPY
D.EXPORT
E.OBJECT CONSTRUCT

Correct Answer: C,E

To convert rows in a relational table to a single VARIANT column and unload the rows into a file in JSON format, you can use the COPY command in combination with the OBJECT_CONSTRUCT function. The OBJECT_CONSTRUCT function converts the row into a JSON object stored in a VARIANT column, and the COPY command can then be used to unload this data into a JSON file.
References:
* Snowflake Documentation: OBJECT_CONSTRUCT
* Snowflake Documentation: COPY INTO <location>
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Question 42

Which objects will incur storage costs associated with Fail-safe?

A.External tables
B.Permanent tables
C.Data files available in internal stages
D.Data files available in external stages

Correct Answer: D

Snowflake's Data Exchange allows users to create and manage a group of accounts to which they can offer data shares. This platform facilitates secure and governed data sharing within and between organizations.
* Data Exchange Setup:Users can set up a Data Exchange and invite other Snowflake accounts to join.
* Sharing Data:Within the Data Exchange, users can offer shares to the entire group or to specific accounts.
* Governance and Security:Data Exchange provides tools for data governance and security, ensuring that shared data is only accessible to authorized accounts.
References:
* Snowflake Documentation: Snowflake Data Exchange
* Snowflake Documentation: Managing a Data Exchange

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Question 43

Which function is used to unload a relational table into a JSON file*?

A.PARSE_JSON
B.JSON_EXTRACT_PATH_TEXT
C.OBJECT_CONSTRUCT
D.TO_JSON

Correct Answer: D

The TO_JSON function in Snowflake is used to convert a relational table or individual rows into JSON format. This function is helpful for exporting data in JSON format.
* Using TO_JSON Function:
SELECT TO_JSON(OBJECT_CONSTRUCT(*))
FROM my_table;
* Exporting Data: The TO_JSON function converts the table rows into JSON format, which can then be exported to a file.
References:
* Snowflake Documentation: TO_JSON Function
* Snowflake Documentation: Exporting Data

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Question 44

Who can activate a network policy for users in a Snowflake account? (Select TWO)

A.ACCOUNTADMIN
B.USERADMIN
C.PUBLIC
D.SYSADMIN
E.Any role that has the global ATTACH POLICY privilege

Correct Answer: A,E

Network policies in Snowflake are used to control access to Snowflake accounts based on IP address ranges. These policies can be activated by specific roles that have the necessary privileges.
Role: ACCOUNTADMIN:
The ACCOUNTADMIN role has full administrative rights across the Snowflake account.
This role can manage all aspects of the Snowflake environment, including network policies.
Role with Global ATTACH POLICY Privilege:
Any role that has been granted the global ATTACH POLICY privilege can activate network policies.
This privilege allows the role to attach policies that control network access to the account.
Reference:
Snowflake Documentation: Network Policies

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Question 45

How does Snowflake recommend defining a clustering key on a high-cardinality column that includes a 15 digit ID numbered column. ID_NUMBER?

A.TRUNC (ID_NUMBER, -6)
B.TRUNC (ID_NUMBER, 5)
C.ID_NUMBER*100
D.TO CHAR (ID NUMBER)

Correct Answer: A

* Clustering keys improve query performance by organizing data to optimize retrieval for frequently queried columns.
* For high-cardinality columns like a 15-digit ID, Snowflake recommends bucketing or truncating the column values to reduce cardinality.
* The function TRUNC(ID_NUMBER, -6) truncates the ID number by dropping the last 6 digits, reducing the number of unique values while maintaining relevance for clustering.
Key Steps:
* Use TRUNC to reduce high-cardinality column values for efficient clustering.
* Monitor clustering key performance via clustering depth metrics.
References:
* Snowflake Documentation: Clustering Keys
* Snowflake Best Practices for Clustering

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