DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
An organization is using Azure Synapse Analytics and wants to implement column-level security to restrict access to sensitive columns. Which feature should they 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 using GRANT
Column-level security in Azure Synapse Analytics is implemented using GRANT statements on specific columns, restricting access to sensitive columns. Option A is incorrect because dynamic data masking obfuscates data at query time but does not prevent access. Option B is incorrect because Azure Purview is a data governance service, not for access control. Option D is incorrect because row-level security filters rows, 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.
- ✗
Dynamic data masking
Why it's wrong here
Dynamic data masking obfuscates data at query time but does not restrict access to the column; users can still see the masked data.
- ✗
Azure Purview
Why it's wrong here
Azure Purview is a unified data governance service for cataloging and discovering data, not for implementing column-level access control.
- ✓
Column-level security using GRANT
Why this is correct
Column-level security in Azure Synapse Analytics uses GRANT statements on specific columns to restrict access to sensitive data.
- ✗
Row-level security
Why it's wrong here
Row-level security filters rows based on user identity but does not restrict access to specific columns.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
Key term
Azure Data Masking
Azure Data Masking is a security feature that hides sensitive data in database query results by replacing it with obscured characters, so unauthorized users see a blurred version instead of the real information.
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Same concept, more angles
1 more way this is tested on DP-203
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You need to implement column-level security in Azure Synapse Analytics to restrict access to salary information. Only users with the 'HRManager' role should see salary columns. Which feature should you use?
easy- A.Row-level security using security predicates
- B.Dynamic data masking
- ✓ C.Column-level security using GRANT on columns
- D.Azure Purview data classification
Why C: Column-level security (CLS) in Azure Synapse Analytics uses GRANT on specific columns to restrict access. Option A is incorrect because row-level security filters rows, not columns. Option B is incorrect because dynamic data masking obfuscates data but does not prevent access. Option D is incorrect because Azure Purview is a governance tool, not a security enforcement mechanism.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.