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 access to an Azure Data Lake Storage Gen2 account using Microsoft Entra ID?
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
✓
Assign Azure RBAC roles such as Storage Blob Data Contributor to users or groups.
Correct options are B and E. Option B: Assigning Azure RBAC roles such as Storage Blob Data Contributor uses Microsoft Entra ID to grant coarse-grained access to the storage account. Option E: Enabling hierarchical namespace is necessary to use ACLs (access control lists) for fine-grained permissions, which can be integrated with Entra ID. Option A is wrong because SAS tokens bypass Entra ID and provide access via shared key. Option C is wrong because firewall rules restrict network access, not identity. Option D is wrong because storage account access keys bypass Entra ID entirely.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Generate a shared access signature (SAS) token with limited permissions.
Why it's wrong here
SAS tokens are not tied to user identity.
- ✓
Assign Azure RBAC roles such as Storage Blob Data Contributor to users or groups.
Why this is correct
RBAC provides role-based access control integrated with Entra ID.
- ✗
Configure a storage firewall to allow only specific IP addresses.
Why it's wrong here
Firewall controls network access, not identity.
- ✗
Use storage account access keys for authentication.
Why it's wrong here
Access keys are shared secrets, not identity-based.
- ✓
Enable hierarchical namespace on the storage account.
Why this is correct
Hierarchical namespace is required for ACL-based authorization.
Visual reference
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 Lake Gen2
Azure Data Lake Gen2 is a cloud-based data storage service that combines the scalability and performance of a data lake with the hierarchical file system and security of a data warehouse, designed for big data analytics.
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.
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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.