The correct answer is the PII detection skill, a built-in Azure AI Language skill designed specifically to identify and redact sensitive information like credit card numbers, social security numbers, and phone numbers from indexed content in Azure AI Search. This skill works by analyzing text for predefined PII categories and either masking or removing the detected entities before they are written to the search index, ensuring compliance with data privacy requirements. On the AI-102 exam, this question tests your understanding of which skill in a skillset handles data sanitization versus simple entity extraction—a common trap is confusing the Entity Recognition skill, which only detects and labels entities without redacting them. Remember that PII detection is the only built-in skill that automatically removes sensitive data during the indexing pipeline. A helpful memory tip: “PII for Privacy, Entity for Extraction”—if you need to scrub data, always pick the skill with “PII” in its name.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction 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.
You are building a knowledge mining solution using Azure AI Search. You need to ensure that sensitive information such as credit card numbers is automatically removed from the indexed content. Which built-in skill should you add to your skillset?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
PII Detection skill
Option B is correct because the Text Translation skill does not handle sensitive data. Option C is correct because the Entity Recognition skill can detect entities but not redact. The correct skill is Text Analytics for health, but for PII redaction, use the PII detection skill (part of Azure AI Language). However, among the options, the correct one is not listed directly. Assuming the correct answer is the 'Text Analytics for PII' skill, but since it's not an option, the closest is 'Entity Recognition' which can detect but not redact. The question may be outdated. For the sake of this exercise, Option A is correct because the 'Conditional skill' can be used to conditionally redact, but that is not built-in. Actually, the built-in skill for PII redaction is 'PII detection' (preview). In the official skills, there is 'PII detection skill'. So I'll set Option D as correct.
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.
✗
Entity Recognition skill
Why it's wrong here
Entity Recognition can detect entities like people, but does not redact sensitive data by default.
✗
Conditional skill
Why it's wrong here
The Conditional skill is used for conditional logic, not for detecting or redacting PII.
✓
PII Detection skill
Why this is correct
The PII Detection skill can identify and redact sensitive information like credit card numbers.
Related concept
Read the scenario before looking for a memorised answer.
✗
Text Translation skill
Why it's wrong here
Text Translation translates text; it does not handle PII.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 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
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: PII Detection skill — Option B is correct because the Text Translation skill does not handle sensitive data. Option C is correct because the Entity Recognition skill can detect entities but not redact. The correct skill is Text Analytics for health, but for PII redaction, use the PII detection skill (part of Azure AI Language). However, among the options, the correct one is not listed directly. Assuming the correct answer is the 'Text Analytics for PII' skill, but since it's not an option, the closest is 'Entity Recognition' which can detect but not redact. The question may be outdated. For the sake of this exercise, Option A is correct because the 'Conditional skill' can be used to conditionally redact, but that is not built-in. Actually, the built-in skill for PII redaction is 'PII detection' (preview). In the official skills, there is 'PII detection skill'. So I'll set Option D as correct.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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