Generative AI Leader Practice Exam: Test Your Knowledge 2025

What is the primary characteristic that distinguishes generative AI from traditional machine learning models?

A retail company wants to use Google Cloud to generate personalized product descriptions for their online catalog. Which Google Cloud service is most appropriate for this use case?

Which business function would most benefit from implementing a generative AI chatbot for customer support?

What is a key principle of Responsible AI that organizations should implement when deploying generative AI systems?

What is a 'prompt' in the context of generative AI?

A financial services company wants to use generative AI to summarize lengthy financial reports. They are concerned about the model potentially generating inaccurate information. What is this phenomenon called?

A healthcare organization wants to fine-tune a foundation model with their proprietary medical data while maintaining data privacy and control. Which Google Cloud approach should they use?

A marketing team wants to generate multiple variations of ad copy for A/B testing. What parameter should they adjust in their generative AI model to increase creativity and variation in outputs?

A software development team wants to use generative AI to help write code. Which Google Cloud solution provides this capability?

A manufacturing company wants to implement generative AI to predict equipment maintenance needs and generate maintenance schedules. What is the most appropriate first step?

What is the primary purpose of grounding in generative AI applications?

An e-commerce company wants to use Vertex AI Search to enhance their product search with generative AI capabilities. What key benefit does this provide over traditional keyword search?

A content creation company wants to generate images from text descriptions for their marketing materials. What type of generative AI model should they use?

What is an important consideration when implementing AI governance policies for generative AI systems in an enterprise?

A legal firm wants to use generative AI to draft contract summaries. Which approach best balances efficiency with the need for accuracy in this high-stakes scenario?

An enterprise is experiencing inconsistent results from their generative AI application. Different users with similar prompts receive varying quality outputs. What technique would most help standardize and improve output quality?

A global company wants to deploy a generative AI chatbot that serves customers in multiple languages and cultural contexts. What are the key considerations for responsible deployment?

An organization is building a RAG (Retrieval-Augmented Generation) system using Vertex AI. Their generative responses are not accurately reflecting information from their knowledge base. What is the most likely issue and solution?

A healthcare provider wants to implement a generative AI solution that processes patient data. What is the most critical compliance consideration specific to Google Cloud implementation?

An enterprise is evaluating whether to use a foundation model via API versus fine-tuning their own model on Vertex AI. What factor most strongly suggests fine-tuning would be beneficial?