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Question 631 - COF-C02 discussion

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In Snowflake's data security framework, how does column-level security contribute to the protection of sensitive information? (Select TWO).

A.
Implementation of column-level security will optimize query performance.
Answers
A.
Implementation of column-level security will optimize query performance.
B.
Column-level security supports encryption of the entire database.
Answers
B.
Column-level security supports encryption of the entire database.
C.
Column-level security ensures that only the table owner can access the data.
Answers
C.
Column-level security ensures that only the table owner can access the data.
D.
Column-level security limits access to specific columns within a table based on user privileges
Answers
D.
Column-level security limits access to specific columns within a table based on user privileges
E.
Column-level security allows the application of a masking policy to a column within a table or view.
Answers
E.
Column-level security allows the application of a masking policy to a column within a table or view.
Suggested answer: D, E

Explanation:

Column-level security in Snowflake enhances data protection by restricting access and applying masking policies to sensitive data at the column level.

Limiting Access Based on User Privileges:

Column-level security allows administrators to define which users or roles have access to specific columns within a table.

This ensures that sensitive data is only accessible to authorized personnel, thereby reducing the risk of data breaches.

Application of Masking Policies:

Masking policies can be applied to columns to obfuscate sensitive data.

For example, credit card numbers can be masked to show only the last four digits, protecting the full number from being exposed.

References:

Snowflake Documentation: Column-Level Security

Snowflake Documentation: Dynamic Data Masking

asked 23/09/2024
Joe Pardee
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