Generative AI Leader Practice Exam 2025: Latest Questions

A product manager asks what makes a generative AI model different from a traditional classification model. Which explanation is most accurate?

Your team wants to build a customer-support chatbot that answers questions using the company’s internal policy documents. They want to reduce hallucinations without retraining a model. What approach should you recommend?

A marketing team wants to summarize long meeting transcripts and extract action items. They need a solution that can be quickly prototyped with minimal coding on Google Cloud. Which is the best starting point?

A team is deploying a generative AI feature and wants to reduce the risk of exposing sensitive data in model outputs. Which practice best supports responsible AI?

A retailer wants a GenAI assistant for store associates. The assistant must answer policy questions and cite the specific policy section it used. What is the most appropriate design?

A legal team wants to use GenAI to draft first-pass contract summaries. They require a human to review before anything is sent externally, and they want an audit trail of prompts and outputs. What is the best approach?

A team reports that their chatbot gives inconsistent answers to the same question, even when the underlying knowledge base has not changed. They want more repeatable behavior. Which change is most likely to help?

A support organization wants to measure whether a GenAI summarizer actually improves agent productivity and response quality. Which evaluation plan is most appropriate?

A healthcare organization wants to use GenAI to help staff draft responses to patient messages. They must minimize the risk of using or exposing protected health information (PHI) in ways that violate policy. Which combination is most appropriate?

You are designing a GenAI assistant that answers questions from thousands of internal documents across multiple departments. Users complain that answers are sometimes based on outdated policies. What is the best architecture-level improvement?

A business leader is explaining generative AI to non-technical stakeholders. Which description most accurately distinguishes a foundation model from a traditional ML model built for a single task?

A retail team wants to draft marketing copy and product descriptions inside Google Workspace, with minimal setup and no custom application development. What is the most appropriate approach?

A program manager needs an initial shortlist of generative AI use cases for a customer support organization. Which option best matches a high-impact, low-complexity first use case?

A healthcare organization wants to use a generative AI model to draft patient discharge instructions. Which governance measure best addresses the risk of harmful or incorrect medical guidance while still enabling productivity gains?

A team is building a Q&A experience over internal policies. Users complain that answers are fluent but sometimes incorrect, especially when the policy changed recently. Which improvement most directly addresses this issue?

A company wants to use generative AI to summarize customer calls. They must minimize the exposure of personally identifiable information (PII) in prompts and logs. What is the best practice approach?

A product team wants a repeatable way to evaluate whether prompt changes improve a summarization feature before releasing to production. Which approach is most appropriate?

A company wants to let employees ask questions about internal documents using a chat interface. The security team requires that only documents a user is authorized to view can be used to generate answers. What architectural design best meets this requirement?

A financial services firm wants to deploy a generative AI assistant for advisors. Regulators require the firm to explain how the assistant arrived at answers and to maintain traceability to source materials. Which solution feature most directly supports this requirement?

A team reports that their chatbot gives inconsistent answers to the same question across different runs, confusing end users. They want more consistent, deterministic responses for a help-center use case. What change is most likely to help?

A customer support team wants a generative AI chatbot that can answer questions using the company’s policy documents stored in Cloud Storage. They want responses grounded in the documents and want to reduce hallucinations without training a new model. What is the recommended approach on Google Cloud?

A marketing team is testing prompts in Vertex AI Studio. They notice the same prompt sometimes produces different answers across runs, which makes evaluation difficult. What change most directly increases output consistency for testing?

A regulated healthcare organization wants to deploy a generative AI application that summarizes internal clinical notes. They must prevent the model from returning sensitive identifiers (for example, patient names) and need a documented governance approach. What is the best next step before production rollout?

A product team built a RAG-based assistant. Users report that answers cite irrelevant passages even though the correct content exists in the knowledge base. Which change is most likely to improve retrieval relevance without changing the foundation model?

An insurance company wants to use generative AI to draft claim summaries for adjusters. They want to measure business value quickly, but leadership is concerned about incorrect summaries causing bad decisions. What is the most appropriate initial rollout approach?