The correct answer is data classification scanning with built-in sensitive information types. This is because Microsoft Purview’s scanning engine can automatically detect patterns like credit card numbers in Azure Blob Storage by matching them against predefined sensitive information types, such as “Credit Card Number,” without requiring custom regex or manual labeling. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this tests your understanding of how Purview integrates governance across hybrid sources, often appearing in scenario-based questions that contrast data classification scanning with other features like sensitivity labels or information protection policies. A common trap is confusing automatic scanning with manual label assignment, but remember that scanning is the detection step, while labeling is the enforcement step. Memory tip: think “Scan first, label second” — Purview’s built-in types do the heavy lifting for automatic sensitive data detection.
AZ-305 Practice Question: Design identity, governance, and monitoring solutions
This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Your organization uses Microsoft Purview to govern data across Azure and on-premises sources. You need to ensure that sensitive data, such as credit card numbers, is automatically detected and classified in Azure Blob Storage. Which Purview feature should you configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data classification scanning with built-in sensitive information types
Option C is correct because Microsoft Purview's data classification scanning can be configured to automatically detect sensitive data like credit card numbers using built-in sensitive information types (e.g., Credit Card Number). When a scan is run against Azure Blob Storage, Purview identifies and classifies the data based on these predefined patterns, enabling governance and compliance.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Microsoft Sentinel
Why it's wrong here
Sentinel is for security detection and response, not data governance.
✗
Data catalog search
Why it's wrong here
The catalog helps find data assets but does not perform automatic classification.
✓
Data classification scanning with built-in sensitive information types
Why this is correct
Purview scans data sources and applies classification labels based on sensitive types like credit card numbers.
Related concept
Read the scenario before looking for a memorised answer.
✗
Data lineage tracking
Why it's wrong here
Data lineage shows data flow but does not classify sensitive data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Microsoft Sentinel (a SIEM) with Purview's classification capabilities, or assume data lineage or catalog search can perform content inspection, when only classification scanning with sensitive information types can automatically detect sensitive data.
Trap categories for this question
Command / output trap
Data lineage shows data flow but does not classify sensitive data.
Detailed technical explanation
How to think about this question
Purview's classification scanning uses regular expression patterns and checksums (e.g., Luhn algorithm for credit cards) defined in sensitive information types to identify data. The scan can be scheduled or triggered, and results are stored in the Purview Data Map, allowing integration with policies like data masking or access control. In a real-world scenario, a scan might misclassify a valid credit card number if it lacks the correct checksum, so understanding the confidence levels and proximity rules is critical for accurate detection.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-305 question in full detail.
Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Data classification scanning with built-in sensitive information types — Option C is correct because Microsoft Purview's data classification scanning can be configured to automatically detect sensitive data like credit card numbers using built-in sensitive information types (e.g., Credit Card Number). When a scan is run against Azure Blob Storage, Purview identifies and classifies the data based on these predefined patterns, enabling governance and compliance.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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