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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 298 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 298
Topic #: 1
[All Professional Machine Learning Engineer Questions]

Your team is developing a customer support chatbot for a healthcare company that processes sensitive patient information. You need to ensure that all personally identifiable information (PII) captured during customer conversations is protected prior to storing or analyzing the data. What should you do?

  • A. Use the Cloud Natural Language API to identify and redact PII in chatbot conversations.
  • B. Use the Cloud Natural Language API to classify and categorize all data, including PII, in chatbot conversations.
  • C. Use the DLP API to encrypt PII in chatbot conversations before storing the data.
  • D. Use the DLP API to scan and de-identify PII in chatbot conversations before storing the data.
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Suggested Answer: D 🗳️

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tk786786
1 day, 21 hours ago
Selected Answer: D
D. Use the DLP API to scan and de-identify PII in chatbot conversations before storing the data. Why Option D? Ensures Compliance with Healthcare Data Regulations Healthcare data is highly sensitive and regulated (e.g., HIPAA in the U.S.). Cloud Data Loss Prevention (DLP) API can detect and de-identify PII before storing or analyzing conversations. De-identification Removes PII While Keeping Data Usable DLP API supports de-identification techniques like masking, tokenization, and format-preserving encryption (FPE). Allows safe storage and analysis of conversations without exposing PII. Scalable and Automated Data Protection DLP API scans and removes PII in real-time, ensuring automated protection across all chatbot interactions. Prevents storage of unprotected sensitive data, reducing compliance risks.
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