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 at rest in Azure Data Lake Storage Gen2? (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
✓
Use Azure RBAC to grant least-privilege access to the storage account.
Correct answers: A and C. A: Use Azure RBAC to grant least-privilege access to the storage account—this ensures only authorized users can access data. C: Enable Azure Storage Service Encryption (SSE) for data at rest—this encrypts data automatically at the storage level. B is incorrect because dynamic data masking is used for databases, not for Azure Data Lake Storage Gen2. D is incorrect because firewall rules control network access, not data at rest. E is incorrect because audit logging is for monitoring, not securing data at rest.
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 Azure RBAC to grant least-privilege access to the storage account.
Why this is correct
RBAC controls access, a security measure for data at rest.
- ✗
Apply dynamic data masking to sensitive columns.
Why it's wrong here
Data masking is a database feature, not for Data Lake Storage.
- ✓
Enable Azure Storage Service Encryption (SSE) for data at rest.
Why this is correct
SSE encrypts data at rest by default.
- ✗
Configure firewall rules to restrict network access.
Why it's wrong here
Firewall rules secure network access, not data at rest.
- ✗
Enable audit logging for the storage account.
Why it's wrong here
Audit logging is for monitoring, not encryption.
Quick reference
Access Control Model Comparison
| Model | Acronym | Who Controls Access? | Best For |
|---|---|---|---|
| Discretionary Access Control | DAC | Resource owner | Small teams, file shares |
| Mandatory Access Control | MAC | System / security labels | Classified govt / military |
| Role-Based Access Control | RBAC | Administrator (via roles) | Enterprise environments |
| Attribute-Based Access Control | ABAC | Policy engine (user + resource attributes) | Fine-grained, dynamic policies |
| Rule-Based Access Control | RuBAC | System rules / ACLs | Firewall rules, network ACLs |
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
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.
Key term
Azure RBAC for Data
Azure RBAC for Data is a security system that controls who can read, write, or manage data in Azure storage services using role-based permissions.
About these practice questions
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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.