Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your organization has an Azure Synapse Analytics dedicated SQL pool that stores sensitive customer data. You need to ensure that only authorized users can access the data, and auditing must be enabled to track all access attempts. What should you do first?
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
✓
Configure Microsoft Entra ID authentication and use RBAC to grant only necessary permissions.
The first step to secure access to the Azure Synapse Analytics dedicated SQL pool is to configure authentication and authorization using Microsoft Entra ID and RBAC. This establishes who can access the pool and what they can do. Once that is in place, you can then implement additional security measures like auditing (option B), column-level security (option A), or dynamic data masking (option D), but these are secondary steps. Option B is not the first step because auditing tracks access but does not control it. Option A is too granular for initial access control. Option D obfuscates data but does not prevent unauthorized access.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement column-level security to restrict sensitive columns.
Why it's wrong here
Column-level security restricts access to specific columns but is not the first step; authentication and authorization must be configured first.
- ✗
Enable auditing on the SQL pool and configure a storage account for audit logs.
Why it's wrong here
Auditing tracks access attempts but does not prevent unauthorized access; it should be enabled after access controls are in place.
- ✓
Configure Microsoft Entra ID authentication and use RBAC to grant only necessary permissions.
Why this is correct
Configuring Microsoft Entra ID authentication and RBAC is the foundational step to control who can access the SQL pool, ensuring only authorized users have access.
- ✗
Apply dynamic data masking to the sensitive columns.
Why it's wrong here
Dynamic data masking hides sensitive data from unauthorized users but does not actually restrict access; it is a secondary measure.
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 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
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.
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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.