Easy Gen AI Leader practice questions
Direct recall — confirm you know the core facts and definitions. 14 easy questions available — no sign-up, always free.
A marketing manager at a mid-sized company wants a simple, chat-based tool that individual team members can use daily to brainstorm campaign ideas, draft social posts, and ask general questions—without any coding, infrastructure setup, or developer involvement. Which Google offering best fits this need?
A marketing manager at a mid-sized company has already written a rough draft of a customer newsletter in Google Docs. She wants an AI assistant that can rewrite the draft in a friendlier, more casual tone directly within the document, without exporting the text elsewhere or building any custom application. Which Google offering is the most appropriate?
A regional sales manager spends hours each morning writing individualized email replies to prospects directly within Gmail. She wants an AI feature that can draft context-aware responses inside her existing inbox, using the content of the email thread she is reading, without switching to a separate application or building anything custom. Which Google offering best fits this need?
A marketing manager spends hours each morning reading long email threads in Gmail and reviewing lengthy documents in Google Docs. She wants an AI capability built directly into these tools to summarize threads, draft replies, and refine document text without copying content into a separate application. Which Google offering best meets this need?
A retail company's leadership team is evaluating new technology and asks their innovation lead to explain what fundamentally distinguishes generative AI from the analytics tools they already use. Which description best captures the defining capability of generative AI?
A product manager at a software company is briefing her team on the technology behind a new writing assistant. She wants to explain what specifically makes a large language model (LLM) distinct from other AI systems the company has used. Which statement best describes the defining characteristic of an LLM?
A call center operations manager wants to automatically transcribe thousands of recorded customer phone calls into text so the quality team can review them. The company has no machine learning engineers and wants the fastest path to production with minimal setup. Which Google Cloud offering best fits this need?
A retail company wants to automatically translate incoming customer support chat messages between English and 12 other languages in real time. The engineering team has no machine learning expertise and wants the fastest path to production with minimal setup. Which Google Cloud offering best fits this need?
A product team is integrating a large language model into their customer support tool. During cost planning, an engineer notes that both the user's input and the model's generated reply are billed based on tokens. A teammate asks what a 'token' actually represents in this context. Which explanation is most accurate?
A product manager is reviewing documentation for a large language model and wants to explain to non-technical stakeholders what a 'token' is when the model processes text. Which explanation is most accurate?
A machine learning team at a retail company wants to quickly browse, compare, and test a variety of first-party, third-party, and open-source foundation models before committing to one for a product recommendation feature. They want a single place within Google Cloud to discover these models and deploy a selected one. Which Google Cloud offering best meets this need?
A machine learning team at a logistics company wants to browse and compare several open-source and first-party foundation models, read their documentation, and select one to deploy — all from a single catalog within Vertex AI. Which Vertex AI capability is designed for this discovery-and-selection task?
A product manager needs to quickly categorize incoming customer feedback into 'bug report', 'feature request', or 'praise' using a large language model. She wants the simplest prompting approach and does not want to spend time crafting sample inputs and outputs. She writes a clear instruction describing the three categories and asks the model to classify each message directly. Which prompt engineering technique is she using?
A marketing analyst needs a gen AI model to categorize incoming customer feedback into 'Praise', 'Complaint', or 'Suggestion'. She wants the simplest possible prompt and does not have time to gather or format labeled examples. She writes a clear instruction describing the three categories and asks the model to classify each piece of feedback. Which prompting technique is she using?