DP-203 Develop data processing Practice Question
A company uses Azure Data Lake Storage Gen2 as the data lake. The data engineering team needs to ensure that sensitive data such as credit card numbers are masked when queried by non-admin users. The solution must be implemented within the data lake without moving data to another store. Which TWO features should they use? (Choose two.)
⚠ Common exam trap
Candidates often confuse dynamic data masking in Azure SQL Database (which requires data to be in a relational store) with the ability to mask data in place in the data lake using Azure Synapse Serverless SQL, and they may overlook Microsoft Purview's role in classifying and labeling sensitive data as a prerequisite for applying masking policies.
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
✓
Azure Synapse Serverless SQL with dynamic data masking
Azure Synapse Serverless SQL can query data directly from Azure Data Lake Storage Gen2 and supports dynamic data masking (DDM) to obfuscate sensitive columns like credit card numbers from non-admin users. This allows masking to be applied at query time without moving or transforming the underlying data in the lake.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Policy to audit access
Why it's wrong here
Auditing, not masking.
- ✗
Azure SQL Database dynamic data masking
Why it's wrong here
Does not apply to data lake directly.
- ✓
Azure Synapse Serverless SQL with dynamic data masking
Why this is correct
Can mask data in queries over external tables.
- ✓
Microsoft Purview data classification and labeling
Why this is correct
Helps identify sensitive columns.
- ✗
Azure Storage blob-level access policies
Why it's wrong here
Controls access, not masking.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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.