Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
A hospital network wants to build a generative AI search experience over its clinical guideline PDFs so clinicians can ask natural-language questions and receive answers with citations to the source documents. The solution must run on Google Cloud and keep data within the network's project. Which offering is purpose-built for this requirement?
⚠ Common exam trap
The trap here is equating text extraction from PDFs with a complete retrieval and answer-generation solution, when extraction alone produces no answers or citations.
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
✓
Vertex AI Search with grounding on the guideline corpus
Vertex AI Search indexes the guideline documents and returns grounded answers with citations, which is exactly the retrieval-augmented experience described. Vision, Workspace, and Translation services perform extraction, productivity assistance, or language conversion and cannot deliver cited question answering over the hospital's corpus.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Gemini for Google Workspace
Why it's wrong here
Gemini for Google Workspace assists individuals inside Gmail, Docs, and similar apps; it does not index a clinical document corpus or serve grounded answers with citations through a custom search interface. It targets personal productivity, not enterprise retrieval over proprietary guideline content.
- ✗
Cloud Vision API with OCR on the PDFs
Why it's wrong here
Cloud Vision API can extract text from scanned PDF pages, but it stops at recognition and does not build a question-answering search experience or produce citations. It could be a preprocessing step, yet on its own it cannot deliver the conversational, grounded search the clinicians need.
- ✗
Cloud Translation API
Why it's wrong here
Cloud Translation API converts text between languages. It does not index documents, answer questions, or attach citations to responses. Selecting it would misidentify the core requirement, which is grounded retrieval and answer generation over clinical guidelines rather than multilingual translation.
- ✓
Vertex AI Search with grounding on the guideline corpus
Why this is correct
Vertex AI Search is designed to index enterprise documents and return grounded, cited answers to natural-language queries. Ingesting the guideline PDFs into a data store and enabling grounding lets the hospital build the clinician-facing search experience while keeping data inside its own Google Cloud project with enterprise access controls.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.