Quick Answer
Microsoft Purview data policies are the correct choice to automate PII anonymization in Azure Data Lake because they enable you to define and enforce data access policies that automatically mask or anonymize sensitive data at query time, without altering the underlying storage. This works through Purview’s integration with Azure Data Lake Storage, where policies are applied based on data classification and user roles, ensuring analysts only see anonymized results. On the AZ-305 exam, this scenario tests your understanding of data governance and compliance within a modern analytics architecture—a common trap is selecting Azure SQL Database’s dynamic data masking, which is for relational databases, not data lakes. Remember, for lake-based analytics, you need a centralized policy engine like Purview, not a database-level feature. A useful memory tip: think “Purview policies for lake anonymization, not SQL masking for tables.”
This AZ-305 practice question tests your understanding of design data storage solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company is designing a data lake for analytics. The data includes personally identifiable information (PII) that must be anonymized before analysts access it. Which Azure service should they use to automate the anonymization process?
Azure Policy
Why wrong: Enforces compliance, not data masking.
Azure SQL Database dynamic data masking
Why wrong: For relational databases only.
Azure Key Vault
Why wrong: Manages encryption keys, not anonymization.
Microsoft Purview data policies
Automates classification and masking for data lakes.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Microsoft Purview data policies
Microsoft Purview data policies allow you to define and enforce data access policies that can automatically anonymize or mask sensitive data, such as PII, when accessed by analysts. This service integrates with Azure data lake storage and provides a centralized way to manage data governance and compliance, making it the correct choice for automating anonymization in a data lake scenario.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Policy
Why it's wrong here
Enforces compliance, not data masking.
Azure SQL Database dynamic data masking
Why it's wrong here
For relational databases only.
Azure Key Vault
Why it's wrong here
Manages encryption keys, not anonymization.
Microsoft Purview data policies
Why this is correct
Automates classification and masking for data lakes.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse Azure SQL Database dynamic data masking (Option B) with a general-purpose anonymization solution, but it only works for relational databases, not for data lakes, and does not automate the process across heterogeneous file formats.
Detailed technical explanation
Microsoft Purview data policies leverage classification and scanning capabilities to identify sensitive data, then apply policies that can dynamically transform data (e.g., masking, redaction) at the point of access. Under the hood, this uses Azure Active Directory (now Microsoft Entra ID) for authentication and attribute-based access control (ABAC) to enforce policies on data lake files, ensuring that analysts only see anonymized data without modifying the underlying storage. In a real-world scenario, this allows a healthcare organization to grant researchers access to patient data while automatically redacting names and social security numbers based on their role.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Design data storage solutions — This question tests Design data storage solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Microsoft Purview data policies — Microsoft Purview data policies allow you to define and enforce data access policies that can automatically anonymize or mask sensitive data, such as PII, when accessed by analysts. This service integrates with Azure data lake storage and provides a centralized way to manage data governance and compliance, making it the correct choice for automating anonymization in a data lake scenario.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This AZ-305 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 AZ-305 exam.
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