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In Snowflake's data security framework, how does column-level security contribute to the protection of sensitive information? (Select TWO).
Correct Answer: D,E
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. Snowflake Documentation: Column-Level Security Snowflake Documentation: Dynamic Data Masking