A legal firm receives client emails that may contain confidential information. The firm wants to automatically extract the names of people and organizations mentioned in each email, determine the overall sentiment of the email, and ensure that any credit card numbers are masked before the email is stored. You need to design the processing workflow. What should you do?

Run PII Detection to extract people and organizations, run Key Phrase Extraction to determine sentiment, and run Entity Recognition to mask credit card numbers.

Run Entity Recognition to extract people and organizations, run Sentiment Analysis to determine tone, and run PII Detection to mask credit card numbers.

Run Sentiment Analysis to extract people and organizations, run Entity Recognition to determine sentiment, and run PII Detection to mask credit card numbers.

Run Key Phrase Extraction to extract people and organizations, run Sentiment Analysis to determine tone, and run Entity Recognition to mask credit card numbers.

Microsoft Certified:Azure AI Engineer Associate

Domain 5Objective 1

Analyze and Translate Text AI-102 Practice Questions (Page 6)

Part of the Implement natural language processing solutions domain, which accounts for 15-20% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~6–13 in this domain), expect 2–4 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

6concepts

15-20%of the exam

Questions 26–26

26application · medium
A legal firm receives client emails that may contain confidential information. The firm wants to automatically extract the names of people and organizations mentioned in each email, determine the overall sentiment of the email, and ensure that any credit card numbers are masked before the email is stored. You need to design the processing workflow. What should you do?
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Analyze and Translate Text AI-102 Practice Questions (Page 6)

Questions 26–26

Keep studying — Implement natural language processing solutions