Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
A company with limited AI expertise wants to adopt gen AI. They need a solution that integrates with existing data and applications. Which Google Cloud offering is best?
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 Agent Builder
Vertex AI Agent Builder is designed for building conversational AI agents with easy integration to enterprise data sources. Option A is wrong because Colab Enterprise is a notebook environment, not a full solution. Option B is wrong because Apigee is an API management platform. Option C is wrong because BigQuery ML is for SQL-based ML, not gen AI agents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Apigee
Why it's wrong here
API management tool, not for building gen AI applications.
- ✗
Colab Enterprise
Why it's wrong here
A managed notebook environment for experimentation, not a production-ready agent builder.
- ✗
BigQuery ML
Why it's wrong here
Enables ML in SQL, but not designed for gen AI conversational agents.
- ✓
Vertex AI Agent Builder
Why this is correct
Provides a low-code platform for building and deploying gen AI agents that integrate with enterprise data and applications.
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Written by Johnson Ajibi, MSc IT Security
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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.