DP-203 Develop data processing Practice Question
You are designing a data processing solution that must handle personally identifiable information (PII). The data will be ingested from multiple sources into Azure Data Lake Storage. Which TWO actions should you take to protect the PII data during processing?
⚠ Common exam trap
Many candidates confuse data masking (which only hides data at the presentation layer) with column-level security (which restricts access at the database processing layer), leading them to select Option A instead of Option B.
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 column-level security in Azure Synapse Analytics to restrict access to sensitive columns.
Column-level security in Azure Synapse Analytics allows you to restrict access to specific columns containing PII, such as Social Security numbers or email addresses, without altering the underlying data. This is a native feature of Synapse that can be applied during processing to ensure that only authorized users or roles can view sensitive columns, directly addressing the requirement to protect PII during data processing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Apply data masking in Power BI reports to hide PII from end users.
Why it's wrong here
Masking in reports does not protect data during processing or at rest.
- ✓
Use column-level security in Azure Synapse Analytics to restrict access to sensitive columns.
Why this is correct
Column-level security allows fine-grained access control at the database level.
- ✗
Configure the Azure Data Lake Storage firewall to allow only specific IP addresses.
Why it's wrong here
Firewall protects network access but does not address PII protection during processing.
- ✗
Implement SQL Server Always Encrypted for all data stored in the data lake.
Why it's wrong here
Always Encrypted is a SQL Server feature, not applicable to ADLS.
- ✓
Use Azure Purview to classify and label PII data in the data lake.
Why this is correct
Purview helps discover and classify sensitive data, enabling governance.
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
Column-Level Security
Column-Level Security is a database feature that restricts access to specific columns in a table, allowing only authorized users to see sensitive data within those columns.
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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.