Quick Answer
The answer is to enable the built-in 'Credit Card Number' classification rule. This is correct because Azure Purview provides a predefined regular expression pattern specifically designed to detect credit card numbers across various data sources, including Azure SQL Database, allowing automatic classification without custom development. On the Microsoft Azure Data Fundamentals DP-900 exam, this tests your understanding of how Purview’s built-in system classifications simplify compliance and data governance by scanning structured data for sensitive information types. A common trap is assuming you need to create a custom rule for standard patterns like credit cards, but Purview already includes them out of the box. Remember the memory tip: "Built-in beats custom for common compliance" — if it’s a standard sensitive data type like a credit card number, always look for the preconfigured rule first.
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
Your organization uses Azure Purview to scan data sources. You need to set up a scan rule set that automatically classifies credit card numbers in Azure SQL Database. Which built-in classification rule should you enable?
Use a regular expression pattern matching.
Why wrong: This is a method, not a built-in rule.
Create a custom classification rule.
Why wrong: Built-in rule already exists; custom is unnecessary.
Enable the 'Personally Identifiable Information (PII)' classification.
Why wrong: This is a broader category; specific rule is more precise.
Enable the 'Credit Card Number' classification.
Built-in rule detects credit card patterns.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Enable the 'Credit Card Number' classification.
Option D is correct because Azure Purview includes a built-in 'Credit Card Number' classification rule that uses a predefined regular expression pattern to detect credit card numbers in data sources like Azure SQL Database. Enabling this rule automatically classifies the data without requiring custom development, aligning with the requirement to use a built-in classification.
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.
Use a regular expression pattern matching.
Why it's wrong here
This is a method, not a built-in rule.
Create a custom classification rule.
Why it's wrong here
Built-in rule already exists; custom is unnecessary.
Enable the 'Personally Identifiable Information (PII)' classification.
Why it's wrong here
This is a broader category; specific rule is more precise.
Enable the 'Credit Card Number' classification.
Why this is correct
Built-in rule detects credit card patterns.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates may confuse the method (regular expression pattern matching) with the specific built-in rule, or incorrectly assume that enabling a broader PII classification is sufficient when the question requires a targeted credit card number classification.
Detailed technical explanation
Azure Purview's built-in classification rules, such as 'Credit Card Number', leverage predefined regular expressions and checksum validation (e.g., Luhn algorithm) to accurately detect sensitive data. When scanning Azure SQL Database, the rule set applies these patterns to column data, automatically assigning classification labels that can be used for data governance and compliance reporting. This approach ensures consistency and reduces false positives compared to custom rules that might lack validation logic.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Enable the 'Credit Card Number' classification. — Option D is correct because Azure Purview includes a built-in 'Credit Card Number' classification rule that uses a predefined regular expression pattern to detect credit card numbers in data sources like Azure SQL Database. Enabling this rule automatically classifies the data without requiring custom development, aligning with the requirement to use a built-in classification.
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
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