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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #309

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)…

The correct answer is D. Use the DLP API to scan and de-identify PII in chatbot conversations before storing the data. DLP API (Data Loss Prevention API) is specifically designed to identify, classify, and protect sensitive information like PII. It can scan chatbot conversations for PII and perform de- identification operations such as masking, tokenization, or redaction to ensure data privacy…

Submitted by noor.lb· Apr 18, 2026Data processing and feature engineering

Question

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?

Options

  • AUse the Cloud Natural Language API to identify and redact PII in chatbot conversations.
  • BUse the Cloud Natural Language API to classify and categorize all data, including PII, in chatbot
  • CUse the DLP API to encrypt PII in chatbot conversations before storing the data.
  • DUse the DLP API to scan and de-identify PII in chatbot conversations before storing the data.

How the community answered

(21 responses)
  • A
    14% (3)
  • B
    5% (1)
  • D
    81% (17)

Explanation

DLP API (Data Loss Prevention API) is specifically designed to identify, classify, and protect sensitive information like PII. It can scan chatbot conversations for PII and perform de- identification operations such as masking, tokenization, or redaction to ensure data privacy. De-identifying PII before storage ensures compliance with data protection regulations such as HIPAA (for healthcare data) and enhances data security by removing or obfuscating sensitive

Topics

#PII protection#DLP API#De-identification#Data privacy

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