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DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing

You are designing a security strategy for Azure Synapse Analytics. The solution must prevent users from accessing sensitive columns in a dedicated SQL pool, such as Social Security numbers, unless they have explicit permission. Which feature should you use?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Column-level security.

Column-level security (CLS) restricts access to specific columns by granting or denying SELECT permissions on individual columns. Option C (Dynamic data masking) obfuscates data at query time but does not prevent access, as users can still see the data if they bypass masking. Option B (Azure Purview) is a data governance service for cataloging and classifying data, not for access control. Option D (Row-level security) filters rows based on user context, not columns.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Column-level security.

    Why this is correct

    Column-level security (CLS) restricts access to specific columns by granting or denying SELECT permissions on individual columns.

  • Azure Purview data classification.

    Why it's wrong here

    Azure Purview is a data governance service for cataloging and classifying data, not for access control.

  • Dynamic data masking.

    Why it's wrong here

    Dynamic data masking obfuscates data at query time but does not prevent access, as users can still see the data if they bypass masking.

  • Row-level security (RLS).

    Why it's wrong here

    Row-level security filters rows based on user context, not columns.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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