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  1. Home
  2. Snowflake Certification
  3. COF-C02 Exam
  4. Snowflake.COF-C02.v2026-03-16.q834 Dumps
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Question 51

How can a data provider validate that a secure view is configured to display only the data the provider wishes to expose?

Correct Answer: B
The most effective way for a data provider to validate secure view configurations is to create a data share for a test data consumer account. This method allows the provider to review and confirm that only the intended data is accessible in the secure view. Secure views are designed to mask or restrict data visibility, so creating a test share replicates the consumer's experience and ensures data security before sharing with actual consumers.
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Question 52

What Snowflake authentication method is recommended to use for logging onto the Snowflake CLI?

Correct Answer: B
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Question 53

Which of the following are valid methods for authenticating users for access into Snowflake? (Select THREE)

Correct Answer: B,D,E
Snowflake supports several methods for authenticating users, including federated authentication, key-pair authentication, and OAuth. Federated authentication allows users to authenticate using their organization's identity provider. Key-pair authentication uses a public-private key pair for secure login, and OAuth is an open standard for access delegation commonly used for token-based authentication. Reference: Authentication policies | Snowflake Documentation, Authenticating to the server | Snowflake Documentation, External API authentication and secrets | Snowflake Documentation.
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Question 54

What is the purpose of the Snowflake SPLIT TO_TABLE function?

Correct Answer: C
The purpose of the Snowflake SPLIT_TO_TABLE function is to split a string based on a specified delimiter and flatten the results into rows. This table function is useful for transforming a delimited string into a set of rows that can be further processed or queried5.
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Question 55

Why would a Snowflake user load JSON data into a VARIANT column instead of a string column?

Correct Answer: C
A VARIANT column in Snowflake is specifically designed to store semi-structured data, such as JSON, and allows for the creation of a data hierarchy. Unlike string columns, VARIANT columns can natively handle JSON data structures, enabling complex querying and manipulation of hierarchical data using functions designed for semi-structured data.
Snowflake Documentation: VARIANT Data
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