Generative AI Leader Fundamentals of Generative AI Practice Question
A company is evaluating Google Cloud's generative AI offerings to build a custom chatbot that can answer questions about their proprietary product manuals. They want to ensure the solution can be grounded in their own data and can be integrated into their existing applications. Which two Google Cloud services should they consider? (Choose two.)
⚠ Common exam trap
The trap here is selecting Dialogflow CX as a grounding solution; while it builds chatbots, it lacks native RAG support for proprietary documents.
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 Generative AI Studio
Vertex AI Search and Conversation and Vertex AI Generative AI Studio are both Google Cloud services that enable grounding in proprietary data and integration into applications. Vertex AI Search and Conversation provides a turnkey solution for grounded search and chat, while Generative AI Studio offers more customization for building and deploying models with retrieval augmentation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud Vision API
Why it's wrong here
Cloud Vision API is used for image analysis, such as label detection and OCR. While it can extract text from images, it does not provide conversational AI or grounding capabilities. It is not suitable for building a chatbot that answers questions based on product manuals.
- ✓
Vertex AI Generative AI Studio
Why this is correct
Vertex AI Generative AI Studio allows developers to experiment with, customize, and deploy generative models. It supports grounding through retrieval augmentation and provides APIs for integration. It can be used to build a custom chatbot grounded in product manuals, especially when combined with a vector store.
- ✓
Vertex AI Search and Conversation
Why this is correct
Vertex AI Search and Conversation is designed for building enterprise search and conversational AI with grounding in proprietary data. It supports ingestion of documents like product manuals and provides APIs for integration. It directly addresses the requirement for a grounded chatbot that can be embedded into applications.
- ✗
Cloud Translation API
Why it's wrong here
Cloud Translation API translates text between languages. It does not provide generative AI, grounding, or conversational capabilities. It is irrelevant to building a chatbot that answers questions from product manuals, unless translation is needed, which is not mentioned.
- ✗
Dialogflow CX
Why it's wrong here
Dialogflow CX is a conversational AI platform for building chatbots, but it does not natively support grounding in proprietary documents. It would require custom integration with a retrieval system. While it can be part of a solution, it is not a primary service for grounding in product manuals.
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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.