50 Generative AI Leader Practice Questions: Question Bank 2025

A product manager asks what makes generative AI different from traditional (discriminative) machine learning models. Which explanation is most accurate?

A team wants to use Google Cloud to prototype an AI assistant that summarizes internal documents and answers questions. They prefer a managed platform that provides foundation models and tooling with minimal infrastructure management. Which solution best fits?

A customer support organization wants to reduce agent handling time. The AI should draft responses using the company’s knowledge base and past resolved tickets, while allowing agents to approve edits before sending. Which approach is most appropriate?

A compliance officer asks how to reduce the risk of a generative model producing sensitive personal data in outputs. Which action is a best practice?

A legal team wants an internal Q&A bot to answer questions using specific policy documents and cite the exact passages used. The team wants to avoid retraining a foundation model. What is the recommended pattern?

A team notices their LLM-based assistant sometimes answers confidently but incorrectly when it lacks sufficient context. They want to improve reliability without changing the underlying model. What should they do first?

A retailer wants to analyze customer feedback across thousands of reviews and route issues to the right teams (shipping, product quality, billing). They also want a short summary of common themes each week. Which solution approach best matches the need?

A platform team wants to standardize access to generative AI models across multiple internal applications. They need centralized controls for who can call models, auditability, and the ability to apply consistent safety settings. What is the best practice approach on Google Cloud?

A healthcare provider is building a RAG-based assistant for clinicians. Requirements include: (1) least-privilege access to patient documents, (2) strong isolation between departments, and (3) evidence-backed answers with citations. Which architecture choice best addresses these requirements?

A company plans to deploy an internal gen AI tool that generates HR guidance. Risk tolerance is low: answers must be policy-compliant, and the company needs ongoing monitoring after launch. Which governance plan is most appropriate?

A customer support team wants a chatbot that answers questions using the company’s policy PDFs stored in Cloud Storage. They want to reduce hallucinations by ensuring answers are grounded in the documents. What is the recommended approach on Google Cloud?

A product manager asks you to explain, at a high level, why a generative AI model might return different answers to the same question. Which concept best explains this behavior?

A retail company wants to start using generative AI for marketing copy but is concerned about governance and oversight. Which first step is most appropriate to reduce risk while enabling experimentation?

A team is comparing prompt-only approaches versus fine-tuning for a text generation use case. They have strong examples of preferred style and tone but their factual content changes weekly. What approach is most appropriate?

A healthcare organization wants to summarize patient instructions using a generative model but must prevent protected health information (PHI) from being exposed to unauthorized users. Which design best supports this requirement?

A company wants to build a marketing assistant that drafts content and automatically routes it for review and approval before publishing. Which Google Cloud capability is best suited to orchestrate these multi-step tasks with human-in-the-loop checkpoints?

A sales enablement team wants a generative AI system that can answer questions about thousands of internal documents. Users complain that answers sometimes cite irrelevant sections. What is the most likely improvement to increase relevance?

A compliance officer wants to ensure generative AI outputs used in customer communications can be traced to inputs and reviewed later. Which practice best supports this goal?

A financial services firm is deploying an AI assistant. They want to reduce the risk that the assistant provides prohibited investment advice. Which control is most effective at inference time?

A global enterprise wants to enable teams to use generative AI while ensuring consistent security controls and limiting data movement across regions. What is the best architecture approach?

A retail manager asks what a "token" means in generative AI and why it matters for summarizing customer chats. Which explanation is most accurate?

A team wants a chatbot to answer questions using their internal policy documents. They do NOT want to retrain a model, but they need answers grounded in the documents with citations. Which approach is most appropriate?

A company wants to test whether a generative AI feature improves their help-center experience. Which metric best aligns with measuring business impact rather than model internals?

A product team is prototyping a Google Cloud–hosted generative AI app. They want to orchestrate prompts, call a foundation model, and manage safety settings with minimal custom infrastructure. Which Google Cloud option is the best fit?

A bank is concerned about sensitive data appearing in prompts and outputs for an internal assistant. Which combination is the most appropriate first step to reduce risk before broad rollout?

A team built a RAG-based assistant. Users report that answers sometimes cite irrelevant passages even though the retrieved documents are correct. What is the most likely improvement to try first?

A marketing team wants AI-generated copy to match their brand voice. They have a small curated set of high-quality examples and want consistent tone, but also need to update guidance quickly as campaigns change. Which approach is most appropriate?

A company is deploying a customer-facing assistant and wants to reduce harmful or policy-violating responses. Which strategy best combines prevention and detection?

A healthcare organization wants to use generative AI to draft patient visit summaries. They must ensure clinicians can trace statements back to source notes and avoid fabricated details. What design is most appropriate?

A global enterprise wants to scale an internal genAI assistant across multiple departments. Security requires that each department’s documents are only accessible to that department, while still using a shared application. Which architecture best meets this requirement?

A team is new to generative AI and wants a simple way to describe how a large language model produces text. Which explanation is most accurate at a foundational level?

A retail company wants to build an internal Q&A assistant that answers employees’ questions using the company’s policy documents and manuals, while reducing hallucinations. What is the recommended approach on Google Cloud?

A product manager asks how to decide whether a new generative AI feature is successful. Which metric is the best starting point for an initial launch of a customer-facing text assistant?

A healthcare organization plans to use generative AI to draft patient instructions. They want humans to review content before it is shared with patients. Which control best supports this requirement?

A customer support chatbot sometimes answers confidently with incorrect policy details. The policies change frequently. Which approach most directly addresses this issue with minimal model changes?

A team is evaluating generative AI for summarizing long internal documents. They notice that summaries sometimes omit critical details. Which prompt strategy is most likely to improve completeness?

A sales operations team wants an AI assistant to draft emails in the company’s tone. They need to prevent the assistant from including sensitive customer identifiers in the generated text. What is the best practice to reduce this risk?

A company wants to prototype a generative AI app that uses a Google-managed foundation model and expose it to an internal web front end. They want the simplest approach that still allows controlling access by employee identity. Which solution is most appropriate?

A bank wants to use generative AI to assist agents during calls by suggesting responses. The bank must meet strict compliance: outputs must be traceable to approved sources, and the system must avoid providing financial advice beyond policy. Which design is most appropriate?

A global enterprise wants to roll out a generative AI assistant across departments. They are concerned about inconsistent behavior, prompt drift, and difficulty auditing changes over time. What is the best approach to manage prompts and model configuration at scale?

A product manager is new to generative AI and asks why an LLM sometimes produces confident but incorrect statements. Which concept best explains this behavior?

A team wants a customer support chatbot to answer using the company's policy documents stored in Cloud Storage and reduce ungrounded answers. What is the recommended approach?

A marketing team wants to generate multiple ad headline variations while keeping tone consistent and avoiding prohibited claims. Which prompt technique is most appropriate?

A company needs an internal generative AI app that can search and summarize content from Google Drive and Gmail for employees. Security requires centralized access control and auditability. Which Google Cloud solution best fits?

A retailer wants to evaluate two prompt templates for product description generation and pick the one that best meets readability and policy requirements. What is the most appropriate evaluation approach?

A team deployed a summarization feature. Users report that long documents are summarized inconsistently and sometimes key sections are missing. The team notices prompts frequently exceed the model's context window. What is the best fix?

A healthcare company wants to use an LLM to draft responses to patient messages. Policy requires that the model never provides medical diagnosis and must include escalation guidance when uncertainty is high. Which control best supports this requirement?

A financial services team needs an executive dashboard that answers natural-language questions using data from BigQuery, but it must not expose raw customer records. Which architecture pattern best meets the requirement?

A company is building a generative AI assistant for employees. Legal requires evidence that outputs are not systematically biased against protected groups. Which plan best addresses this requirement?

A company wants to deploy an LLM-based agent that can take actions (create tickets, reset passwords) across internal systems. Security is concerned about prompt injection and unauthorized actions. What is the most robust mitigation strategy?