Courseiva
mediumMultiple Select

Generative AI Leader Practice Question: A healthcare company needs to process medical…

A healthcare company needs to process medical records at scale, extracting structured information from forms and enabling natural language queries. They require HIPAA compliance and want to avoid training custom models. Which TWO services should they use? (Choose 2)

⚠ Common exam trap

Google often tests the distinction between services that require custom model training (like BigQuery ML and Vertex AI Workbench) versus pre-built, HIPAA-compliant services (like Natural Language AI and Document AI), leading candidates to mistakenly choose options that involve training when the question explicitly prohibits it.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Natural Language AI

Document AI (option C) is correct because it provides pre-trained, HIPAA-eligible processors for form parsing and OCR, extracting structured information from medical forms at scale without custom model training. Natural Language AI (option A) is also correct because its pre-trained models perform entity extraction, sentiment analysis, and syntax analysis on unstructured clinical text, supporting natural language understanding of medical records without training custom models. Both can be used under HIPAA compliance when configured appropriately.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Natural Language AI

    Why this is correct

    Natural Language AI can analyze unstructured medical text for entities and concepts, supporting natural language queries.

  • ✗

    BigQuery ML

    Why it's wrong here

    BigQuery ML is for building ML models on tabular data, not for document processing or NLP.

  • ✓

    Document AI

    Why this is correct

    Document AI can extract structured data from medical forms and supports HIPAA compliance.

  • ✗

    Vertex AI Workbench

    Why it's wrong here

    Vertex AI Workbench is a development environment, not a pre-built API for document or text processing.

  • ✗

    Vision AI

    Why it's wrong here

    Vision AI provides image analysis but not document-specific extraction or medical NLP.

About these practice questions

Courseiva writes every Generative AI Leader question from scratch — 1,008 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.