DP-300 Configure and manage automation of tasks Practice Question
You have an Azure SQL Database that stores sensitive customer data. You need to automate the masking of a specific column for non-admin users. 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
✓
Dynamic Data Masking with a masking function configured on the column.
Dynamic Data Masking (DDM) is the correct feature for masking a specific column for non-admin users. DDM can be configured on a column using a masking function (e.g., default, email, custom) and automatically obfuscates the data in query results for users without the UNMASK permission. Option A (Always Encrypted) encrypts the column but does not mask it selectively; non-admin users cannot see the data at all unless they have the key. Option B (Row-Level Security) filters entire rows based on a predicate, not columns. Option D (Azure Policy) applies governance rules at the subscription/resource level and cannot mask database 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.
- ✗
Always Encrypted with a column encryption key.
Why it's wrong here
Always Encrypted encrypts data, does not mask.
- ✗
Row-Level Security to filter rows for non-admin users.
Why it's wrong here
RLS filters rows, not masks columns.
- ✓
Dynamic Data Masking with a masking function configured on the column.
Why this is correct
Dynamic Data Masking masks data at query time based on user permissions.
- ✗
Azure Policy to enforce masking rules on the database.
Why it's wrong here
Azure Policy does not apply data masking.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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