Secure, monitor, and optimize data storage and data processing →mediumMultiple SelectObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Which TWO actions should you take to secure data in Azure Synapse Analytics dedicated SQL pool? (Choose two.)
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
✓
Apply dynamic data masking (DDM) to obfuscate sensitive data.
The correct answers are D and E. Dynamic data masking (DDM) obfuscates sensitive data, and row-level security (RLS) restricts data access at the row level. Option A is incorrect because PolyBase is used for data loading, not security. Option B is incorrect because result-set caching improves performance but does not secure data. Option C is incorrect because workload classification governs resource allocation, not security.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use PolyBase to load data from external sources.
Why it's wrong here
PolyBase is not a security feature.
- ✗
Enable result-set caching for query performance.
Why it's wrong here
Result-set caching improves performance, not security.
- ✗
Configure workload classification for resource governance.
Why it's wrong here
Workload classification manages resources, not security.
- ✓
Apply dynamic data masking (DDM) to obfuscate sensitive data.
Why this is correct
DDM hides sensitive data from non-privileged users.
- ✓
Implement row-level security (RLS) to restrict data access.
Why this is correct
RLS provides fine-grained data access control.
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Dynamic Data Masking
Dynamic Data Masking is a security feature that automatically hides sensitive data in query results so that unauthorized users see only masked information, while authorized users see the real data.
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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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.