Quick Answer
The answer is PII detection and redaction, as these two features work together to identify and remove personally identifiable information from text. PII detection uses a pre-trained model to locate sensitive data such as names, addresses, phone numbers, and financial details within customer support tickets, while the redaction feature replaces those entities with placeholder tokens like “[PersonName]” to prevent exposure during further processing. On the AI-102 exam, this scenario tests your understanding of Azure AI Language’s built-in privacy capabilities, often appearing as a distractor where entity linking or key phrase extraction are incorrectly suggested—but those do not handle PII. A common trap is confusing PII detection with conversation summarization, which is designed for dialogue transcripts, not redaction. Memory tip: think “Detect and Delete” for PII—detection finds it, redaction deletes it from the output.
This AI-102 practice question tests your understanding of implement natural language processing 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.
Your organization uses Azure AI Language to analyze customer support tickets. You need to ensure that personally identifiable information (PII) is detected and redacted before further processing. Which TWO features should you use?
Entity linking
Why wrong: Entity linking links mentions to knowledge bases, not PII detection.
Redaction
Redaction removes or masks the detected PII.
PII detection
PII detection specifically identifies personal information.
Conversation summarization
Why wrong: Summarization creates summaries, not PII detection.
Key phrase extraction
Why wrong: Key phrase extraction extracts main points, not PII.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Redaction
PII detection identifies personal data in text. Entity linking and key phrase extraction do not detect PII. Conversation summarization is not for PII.
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.
Entity linking
Why it's wrong here
Entity linking links mentions to knowledge bases, not PII detection.
Redaction
Why this is correct
Redaction removes or masks the detected PII.
Related concept
Read the scenario before looking for a memorised answer.
PII detection
Why this is correct
PII detection specifically identifies personal information.
Related concept
Read the scenario before looking for a memorised answer.
Conversation summarization
Why it's wrong here
Summarization creates summaries, not PII detection.
Key phrase extraction
Why it's wrong here
Key phrase extraction extracts main points, not PII.
Common exam traps
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.
Trap categories for this question
Keyword trap
Key phrase extraction extracts main points, not PII.
Detailed technical explanation
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.
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
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.
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FAQ
Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Redaction — PII detection identifies personal data in text. Entity linking and key phrase extraction do not detect PII. Conversation summarization is not for PII.
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.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This AI-102 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 AI-102 exam.
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