Generative AI Leader Applying Generative AI in Business — All Questions With Answers

Question 1mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 2easymultiple choice

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A marketing team wants to generate social media posts in a consistent brand voice. They have a few examples of high-performing posts. Which prompt engineering technique should they use?

Question 3mediummultiple choice

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A company uses Vertex AI Agent Builder to create a customer support agent. They need the agent to answer questions about order status by calling an internal API. Which Vertex AI feature should they use?

Question 4hardmultiple choice

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A hospital wants to summarize patient-doctor conversations into structured clinical notes using GenAI. They need high accuracy and must avoid hallucinated medical information. Which combination of techniques is BEST?

Question 5mediummultiple choice

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A financial firm wants to use GenAI to draft emails for client communications. They need to ensure regulatory compliance and maintain a consistent professional tone. Which approach is MOST suitable?

Question 6easymultiple choice

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A company wants to generate marketing images for a new product launch using GenAI. Which Google Cloud service should they use?

Question 7hardmultiple choice

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A company deploys a GenAI-powered code review assistant. During evaluation, they find that the assistant often suggests security vulnerabilities as improvements. What is the MOST likely cause?

Question 8mediummultiple choice

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A legal firm wants to use GenAI for contract analysis. They need to extract key clauses and flag risky terms. Which combination of services on Vertex AI is BEST suited?

Question 9mediummultiple choice

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A company wants to measure the ROI of a GenAI-based report generation tool. Which metric is MOST directly tied to business value?

Question 10hardmultiple choice

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A company is building a GenAI application using the Gemini API. They want to minimize latency and cost for a high-volume use case. Which strategy is MOST effective?

Question 11easymultiple choice

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An employee wants to use GenAI to assist with writing formulas in Google Sheets. Which Gemini for Google Workspace feature should they use?

Question 12mediummultiple choice

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A company runs a pilot for a GenAI-powered internal knowledge base assistant. They want to measure adoption. Which metric is BEST for this purpose?

Question 13mediummulti select

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A company wants to build a GenAI application that summarizes customer reviews into actionable insights. The solution must be cost-effective and handle variable traffic. Which TWO strategies should they implement? (Choose 2)

Question 14hardmulti select

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A company deploys a GenAI chatbot for customer support using Vertex AI Agent Builder. The chatbot sometimes gives incorrect answers. The team wants to improve accuracy without retraining the underlying model. Which THREE actions should they take? (Choose 3)

Question 15mediummulti select

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A company wants to adopt GenAI for contract analysis. They are evaluating build vs. buy. Which TWO factors are MOST important when deciding to build a custom fine-tuned model instead of using a pre-built API? (Choose 2)

Question 16mediummultiple choice

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A financial services company wants to automate contract analysis to extract key clauses and identify risky terms. They have thousands of PDF contracts and need a solution that can be quickly integrated into their existing document management system. Which Google Cloud service is MOST suitable?

Question 17hardmultiple choice

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A retail company has deployed a generative AI chatbot for customer support. They notice that the model sometimes provides incorrect product information. The team wants to ground the model's responses in their product catalog to improve accuracy. Which Vertex AI feature should they enable?

Question 18easymultiple choice

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A marketing team wants to generate multiple versions of ad copy for A/B testing. They need consistent brand tone across all outputs. Which prompt engineering technique is most effective?

Question 19mediummultiple choice

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A healthcare organization wants to use generative AI to draft email responses to patient inquiries. They need to ensure that the model never generates medical advice and always includes a disclaimer. Where should they enforce these constraints?

Question 20mediummultiple choice

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A company wants to build a proof-of-concept generative AI application quickly. They have limited ML expertise and need to test multiple foundation models with different prompts. Which Vertex AI tool should they use?

Question 21easymultiple choice

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A project manager wants to track the ROI of a generative AI feature that assists customer support agents. Which metric is MOST directly tied to productivity improvement?

Question 22hardmultiple choice

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A company is using a large language model to generate code reviews. They want to reduce token costs while maintaining quality. Which approach is MOST effective?

Question 23mediummultiple choice

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A company wants to embed a generative AI writing assistant into their Google Docs workflow. The assistant should help users draft emails and reports based on prompts. Which Google Workspace feature should they leverage?

Question 24easymultiple choice

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A marketing agency uses generative AI to create social media posts. They need the output to be in a specific JSON format for downstream processing. Which prompt technique should they use?

Question 25mediummultiple choice

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A company is evaluating whether to use a pre-built API or fine-tune a model for their use case. They have a large dataset of domain-specific jargon and need high accuracy on specialized terms. Which factor MOST strongly suggests fine-tuning?

Question 26mediummultiple choice

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A company is rolling out a generative AI tool to employees. To ensure successful adoption, they plan to provide training and identify early adopters. Which change management practice is MOST critical early in the rollout?

Question 27hardmultiple choice

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A data scientist is using Vertex AI RAG Engine to build a question-answering system over a large corpus of technical manuals. Users report that answers are often verbose and include irrelevant details. Which configuration change is MOST likely to improve answer conciseness?

Question 28mediummulti select

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A company wants to build a generative AI-powered internal knowledge base for employees. They need to integrate with existing Google Workspace documents (Docs, Slides) and allow natural language queries. Which TWO services should they combine?

Question 29hardmulti select

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A company is transitioning a generative AI pilot to production. They need to ensure cost predictability and scalability. Which THREE actions should they take?

Question 30easymulti select

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A project manager wants to measure the success of a generative AI feature that summarizes meeting transcripts. Which TWO metrics are MOST appropriate for evaluating quality improvement?

Question 31mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 32easymultiple choice

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A marketing team wants to generate blog post ideas and draft outlines. They need a solution that works within Google Docs and leverages a foundation model without leaving the document editor. Which service should they use?

Question 33hardmultiple choice

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A financial services firm needs to analyze thousands of legal contracts to extract key clauses (e.g., termination, indemnification) with high accuracy. They plan to use GenAI but are concerned about data privacy because contracts contain sensitive information. They want a solution where data is not used for model training and remains in their own Google Cloud project. Which approach best meets these requirements?

Question 34mediummultiple choice

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A retail company uses Vertex AI Agent Builder to create a virtual assistant for order tracking. Users frequently ask about delivery dates, but the assistant sometimes gives incorrect information. The team wants to improve accuracy without retraining the underlying model. Which technique should they apply?

Question 35easymultiple choice

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Which Vertex AI feature allows a business user to explore and test over 300 foundation models from Google and partners, including Gemma, Llama, and Claude, without writing code?

Question 36hardmultiple choice

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A healthcare startup wants to generate synthetic patient notes for training medical residents. They need the output to follow a strict template with sections: Chief Complaint, History, Assessment, Plan. Which prompt engineering strategy should they use to ensure consistent structure?

Question 37mediummultiple choice

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A company is evaluating the ROI of deploying a GenAI-powered code review assistant. Which metric would BEST capture the quality improvement from using the assistant?

Question 38mediummultiple choice

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During a proof-of-concept for a GenAI document summarization tool, the team wants to evaluate whether the summaries are accurate and retain key information before scaling. Which evaluation approach is most appropriate for this stage?

Question 39easymultiple choice

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A sales team needs to draft personalized emails to prospects. They want a tool integrated into Gmail that suggests completions and can generate full drafts based on brief prompts. Which Gemini for Google Workspace feature should they use?

Question 40mediummultiple choice

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An enterprise is concerned about the cost of using a large LLM for a high-volume customer support chatbot. They want to reduce token consumption while maintaining response quality. Which strategy would be MOST effective?

Question 41hardmultiple choice

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A global company wants to deploy a GenAI application that must comply with GDPR and CCPA. They need to ensure that user data submitted to the LLM is not used for model training or improvement. Which combination of actions should they take on Vertex AI?

Question 42easymultiple choice

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A product manager wants to quickly build a conversational agent that can answer FAQs from the company's help center articles. They have limited coding experience. Which Google Cloud service is BEST suited for this task?

Question 43mediummulti select

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A company wants to adopt GenAI for internal knowledge base Q&A. They have a collection of PDFs, internal wikis, and slide decks. Which TWO services should they combine to build a RAG-based solution?

Question 44hardmulti select

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A company is planning an iterative rollout of a GenAI code generation tool for developers. They want to ensure adoption and minimize resistance. Which THREE change management practices are most effective?

Question 45mediummulti select

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A data science team wants to decide between using a pre-built API (e.g., Vertex AI Gemini API) and fine-tuning a custom model for a specific business task. Which TWO factors are most important in making this build versus buy decision?

Question 46easymultiple choice

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A marketing team wants to generate product descriptions for 1000 new items. They need consistent brand voice and the ability to review and edit outputs before publishing. Which approach is most suitable?

Question 47mediummultiple choice

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A company is evaluating ROI for a GenAI-based code review assistant. Which metric set BEST captures both productivity and quality improvements?

Question 48hardmultiple choice

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A legal firm wants to automate contract analysis to extract key clauses and risks. They have 10,000 contracts in PDF format. The solution must handle varying layouts and be cost-effective. Which approach is BEST?

Question 49easymultiple choice

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A project manager wants to automatically generate weekly status reports from meeting notes and project data. The team uses Google Workspace. Which built-in capability is the QUICKEST to implement?

Question 50mediummultiple choice

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A company is piloting a GenAI feature for internal knowledge base search. During the pilot, users report that the AI sometimes gives incorrect answers based on outdated documents. What is the MOST effective way to address this issue?

Question 51mediummultiple choice

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A startup with limited ML expertise wants to add a GenAI feature to their SaaS application that can generate personalized email drafts for users. They need fast time-to-market and low maintenance. Which build-vs-buy decision is BEST?

Question 52hardmultiple choice

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A company is deploying a GenAI-powered email drafting feature. They want to control costs while maintaining low latency for real-time suggestions. Which strategy is MOST effective?

Question 53easymultiple choice

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A data analyst wants to use Gemini in Google Sheets to help with complex formulas. Which feature should they use?

Question 54mediummultiple choice

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A company wants to create a GenAI application that can answer questions about their internal policy documents, but they require that the model's responses are grounded in the actual documents to avoid hallucination. Which Vertex AI feature should they use?

Question 55hardmultiple choice

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A large enterprise is planning to roll out a GenAI assistant for contract negotiation. The legal team wants to ensure that the assistant's outputs are consistent and follow a predefined format for downstream processing. What is the BEST prompt engineering technique?

Question 56mediummultiple choice

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A company wants to adopt GenAI for internal knowledge management. They plan to start with a small pilot team, gather feedback, and then expand. Which change management approach is MOST aligned with this strategy?

Question 57easymultiple choice

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A developer wants to add a GenAI feature to their existing web application. They need to integrate with the app's backend using REST APIs. Which integration pattern is MOST appropriate?

Question 58mediummulti select

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A company wants to build a GenAI-powered customer support chatbot. They require the chatbot to provide accurate answers based on the latest product documentation, and they need to control costs by minimizing token usage. Which TWO strategies should they use?

Question 59hardmulti select

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A company is moving a GenAI proof-of-concept to production. The pilot showed promising results, but the production environment must handle higher traffic, ensure low latency, and manage costs. Which THREE actions should they take?

Question 60mediummulti select

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A company wants to use GenAI to generate marketing content such as blog posts and social media updates. They need the content to be on-brand and factually accurate. Which TWO features should they use?

Question 61mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 62easymultiple choice

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A marketing team wants to generate consistent brand-aligned social media posts using Vertex AI Studio. Which prompt engineering technique should they use to ensure the output tone matches their brand voice?

Question 63hardmultiple choice

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A legal firm wants to automate contract analysis. They need to extract key clauses (e.g., termination, indemnification) from scanned PDFs. The team expects high accuracy and must maintain data privacy. Which combination of services is most suitable?

Question 64mediummultiple choice

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A company is evaluating the ROI of implementing GenAI for code generation. Which metric BEST captures the productivity improvement of developers?

Question 65easymultiple choice

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A sales team wants to use Gemini for Google Workspace to draft personalized emails to prospects. Which feature in Gmail should they use?

Question 66hardmultiple choice

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A healthcare organization wants to deploy a GenAI chatbot for patient intake. They must ensure that the model does not generate harmful advice and that patient data remains confidential. Which set of controls should they implement on Vertex AI?

Question 67mediummultiple choice

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A company wants to build an internal knowledge base that allows employees to ask questions about company policies in natural language. The knowledge base is stored in a Google Cloud SQL database. Which architecture should they use?

Question 68easymultiple choice

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A project manager wants to reduce the cost of using Gemini API for batch processing of customer feedback. The team is on a tight budget. Which cost management strategy is MOST effective?

Question 69mediummultiple choice

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A company is piloting a GenAI feature that summarizes customer support tickets. They want to measure the impact on agent productivity before rolling out to all teams. Which approach BEST evaluates the pilot?

Question 70hardmultiple choice

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A data science team wants to build a custom model for generating product descriptions that adhere to specific brand guidelines. They have 5,000 high-quality examples. Which approach balances cost and accuracy?

Question 71mediummultiple choice

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A company wants to integrate GenAI into their existing customer relationship management (CRM) system. The CRM is a third-party SaaS application. Which implementation pattern is MOST suitable?

Question 72easymultiple choice

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A company is deciding between using a pre-built GenAI API (like Gemini API) and building a custom fine-tuned model. Which factor would MOST strongly favor the custom fine-tuned model?

Question 73mediummulti select

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A company wants to implement a change management strategy for GenAI adoption. Which TWO actions are MOST effective in driving adoption among employees?

Question 74hardmulti select

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A manufacturing company wants to use GenAI to generate maintenance reports from sensor data. They need structured output (JSON) for downstream systems, and they want to reduce token costs. Which THREE strategies should they use?

Question 75mediummulti select

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A company is using Vertex AI RAG Engine to ground a chatbot in internal documents. The chatbot sometimes returns outdated information. Which TWO steps should they take to improve freshness?

Question 76mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 77easymultiple choice

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A marketing team wants to use GenAI to generate social media posts. They need consistent brand voice and the ability to output structured JSON for downstream scheduling. Which combination of Vertex AI features should they use?

Question 78hardmultiple choice

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A financial services firm is deploying a GenAI application that processes sensitive client data. They must ensure that no prompts or model outputs are logged by the model provider. Which configuration in Vertex AI is REQUIRED to meet this data residency and privacy requirement?

Question 79mediummultiple choice

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A company is piloting a GenAI feature for email drafting in Gmail. They want to measure productivity improvement. Which metric is MOST directly tied to the business goal of reducing time spent on email composition?

Question 80easymultiple choice

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A developer needs to integrate a GenAI model into an existing customer relationship management (CRM) system. The CRM exposes REST APIs and runs on-premises. Which integration pattern is MOST suitable?

Question 81hardmultiple choice

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A legal team wants to use GenAI to review contracts and highlight risky clauses. They need the AI to consistently follow a specific classification taxonomy. The team has a small set of labeled examples (500 contracts). Which approach yields the BEST accuracy for this use case?

Question 82mediummultiple choice

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A product manager wants to generate meeting summaries automatically using Gemini for Google Workspace. They need summaries to be sent to all participants immediately after the meeting ends. Which Gemini feature should they use?

Question 83mediummultiple choice

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A company is evaluating whether to build a custom fine-tuned model for code generation or use a pre-built API like Gemini API. The code generation needs to follow the company's internal coding standards. Which consideration is MOST important in deciding to build vs buy?

Question 84easymultiple choice

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A data scientist wants to compare the performance of three different foundation models for a text summarization task. They have a labeled dataset of summaries. Which Vertex AI tool should they use to perform this evaluation?

Question 85hardmultiple choice

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A company has deployed a GenAI-powered report generation system using Vertex AI. They notice that the cost is higher than expected. Investigation shows that many requests include very long prompts with repetitive boilerplate text. Which cost optimization strategy is MOST effective?

Question 86mediummultiple choice

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A compliance officer requires that all AI-generated content in Google Workspace be reviewed before sharing externally. Which change management approach BEST supports this requirement while maintaining user adoption?

Question 87mediummultiple choice

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A developer is using Vertex AI Studio to design a prompt for a content moderation system. They need the model to return a structured JSON with fields 'category' and 'confidence_score'. Which prompt engineering technique should they use?

Question 88hardmulti select

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A healthcare startup is building a GenAI application that answers patient queries based on medical literature. They need to ensure factual accuracy and compliance with healthcare regulations. Which TWO strategies should they use? (Choose 2)

Question 89easymulti select

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A project manager wants to measure the business impact of a GenAI code review tool. Which THREE metrics should they track to evaluate ROI? (Choose 3)

Question 90mediummulti select

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A retail company wants to build an internal knowledge base chatbot using Vertex AI. They need to ensure the chatbot only answers from approved company documents and can handle updates without retraining. Which TWO components should they include? (Choose 2)

Question 91mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 92easymultiple choice

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A marketing team wants to generate social media posts from product descriptions using Generative AI. They need consistent brand tone and the ability to iterate quickly. Which tool is BEST suited for this task?

Question 93hardmultiple choice

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A financial services firm is deploying a GenAI-powered contract analysis tool. The tool must extract key clauses and flag risky language. Which strategy BEST ensures structured, machine-readable output that downstream systems can parse?

Question 94mediummultiple choice

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A company uses Gemini for Google Workspace to help employees draft emails. After rollout, the IT team notices that the Smart Compose suggestions are sometimes inappropriate for external communications. What is the BEST way to address this while maintaining productivity gains?

Question 95mediummultiple choice

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A data science team wants to build a RAG pipeline to ground a chatbot in proprietary knowledge. They need to choose a vector database and embedding model. Which combination is NATIVELY integrated with Vertex AI and requires the least custom infrastructure?

Question 96easymultiple choice

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A product manager wants to add a feature that drafts meeting summaries automatically in Google Meet. Which Gemini for Google Workspace capability should they use?

Question 97hardmultiple choice

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A company notices that their GenAI-powered code review assistant sometimes suggests code with security vulnerabilities. They want to reduce this risk without sacrificing review speed. Which approach is MOST effective?

Question 98mediummultiple choice

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A company wants to evaluate the ROI of their GenAI content creation tool. Which metric is LEAST useful for assessing productivity gains?

Question 99mediummultiple choice

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A startup is building a GenAI application and must decide between using a pre-built API (e.g., Vertex AI Gemini API) or fine-tuning a custom model. Which factor STRONGLY favors using the pre-built API?

Question 100easymultiple choice

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Which feature in Vertex AI allows users to browse over 300 foundation models and deploy them with minimal code?

Question 101mediummultiple choice

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A company is planning an iterative rollout of a GenAI tool. Which change management practice is MOST critical for ensuring high adoption among employees?

Question 102hardmultiple choice

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A developer is using the Vertex AI Gemini API to generate email drafts. They notice that the cost is higher than expected. Which cost optimization strategy is MOST effective?

Question 103mediummulti select

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A company wants to use GenAI to create a knowledge base assistant that can answer questions from internal documentation. They need the assistant to always have access to the latest documents without retraining. Which TWO services should they combine? (Choose 2)

Question 104hardmulti select

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A company is moving a GenAI proof-of-concept to production. They need to ensure the system can handle variable traffic and maintain low latency. Which THREE practices should they implement? (Choose 3)

Question 105easymulti select

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A company wants to start using Gemini for Google Workspace to improve productivity. Which TWO applications can provide meeting summarization features? (Choose 2)

Question 106mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 107easymultiple choice

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A marketing team needs to generate personalized email campaigns for thousands of customers. They want to maintain brand tone consistency and avoid manual writing. Which GenAI approach is BEST suited?

Question 108mediummultiple choice

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A company is evaluating the ROI of deploying a GenAI code review assistant. They want to measure productivity gains. Which metric is MOST directly tied to developer efficiency?

Question 109hardmultiple choice

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A company is deploying a GenAI contract analysis system that processes confidential legal documents. They need to ensure that the model does not retain or train on customer data. Which configuration is REQUIRED?

Question 110easymultiple choice

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A sales team wants to use Gemini for Google Workspace to draft emails in Gmail. Which feature should they enable to generate full email drafts from a brief prompt?

Question 111mediummultiple choice

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A company wants to add a GenAI-powered meeting summarization feature to their internal app. They have existing meeting transcript data in Cloud Storage. Which Google Cloud service should they use to build the summarization pipeline with minimal infrastructure management?

Question 112hardmultiple choice

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A company is running a GenAI proof-of-concept (PoC) for internal document Q&A. The PoC shows high latency and cost. The team suspects they are using an unnecessarily large model for the task. What is the BEST action to optimize?

Question 113easymultiple choice

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A company wants to generate images for slide decks using Gemini in Google Slides. Which Gemini feature in Google Slides should they use?

Question 114mediummultiple choice

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A company is building a GenAI chatbot that needs to answer questions using real-time data from their CRM and inventory systems. They want to ensure the model can access external data on demand. Which approach should they use?

Question 115mediummultiple choice

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A company is adopting GenAI for internal knowledge base search. They want to measure the success of the rollout. Which metric is LEAST relevant for evaluating adoption?

Question 116hardmultiple choice

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A company wants to deploy a GenAI system for contract analysis that must produce structured output (e.g., JSON) for downstream processing. They need to ensure the output format is consistent. Which prompt engineering technique is MOST effective?

Question 117easymultiple choice

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A company is deciding between building a custom fine-tuned model vs. using a pre-built API for a document summarization task. The documents contain domain-specific jargon. Which factor STRONGLY favors using a pre-built API with prompt engineering?

Question 118mediummulti select

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A company wants to deploy a GenAI code review assistant that integrates into their existing Git workflow. They want to use a managed Google Cloud service to minimize operational overhead. Which TWO services should they consider? (Choose two.)

Question 119hardmulti select

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A company is deploying a GenAI system that generates product descriptions. During A/B testing, the new system shows a 20% increase in click-through rate (CTR) but a 15% increase in average cost per query due to the model size. The team wants to optimize cost without sacrificing the CTR gain. Which THREE actions should they take? (Choose three.)

Question 120mediummulti select

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A company is planning an iterative rollout of a GenAI assistant for sales teams. They want to maximize adoption and minimize disruption. Which TWO change management practices should they prioritize? (Choose two.)

Question 121mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 122easymultiple choice

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A marketing team wants to use generative AI to create ad copy that matches their brand voice. They have several examples of previous high-performing ads. Which Vertex AI Studio feature would best help them achieve consistent tone and style without custom model training?

Question 123hardmultiple choice

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A healthcare company is deploying a GenAI-powered report generation system that processes patient summaries. They need the output to be structured JSON for downstream ingestion. The team is using Vertex AI Studio prompt design. Which approach best ensures consistent structured output?

Question 124mediummultiple choice

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A financial services firm wants to use generative AI to assist employees in drafting emails. They are evaluating Duet AI in Gmail (now Gemini in Workspace). Which capability directly supports this use case?

Question 125mediummultiple choice

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A legal department wants to automate contract analysis using GenAI. They need to identify risky clauses and extract key dates. Which Google Cloud service is best suited for this task?

Question 126hardmultiple choice

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A company is piloting a GenAI code review assistant. Developers report that the assistant often suggests incorrect or insecure code snippets. The team wants to improve the assistant's reliability before expanding the pilot. Which approach should they prioritize?

Question 127easymultiple choice

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Which of the following best describes the primary benefit of using Grounding with Google Search when building a GenAI chatbot?

Question 128mediummultiple choice

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A retail company wants to generate personalized marketing emails at scale. They have a customer database and past purchase history. Which implementation pattern is most cost-effective and scalable?

Question 129hardmultiple choice

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A company is migrating a GenAI proof-of-concept to production. During the pilot, they used a large model (e.g., Gemini 1.5 Pro) and incurred high costs. The use case is simple: generating short product descriptions from structured data. Which cost optimization strategy should they implement first?

Question 130mediummultiple choice

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A company wants to evaluate the ROI of deploying a GenAI tool for customer support. They plan to measure productivity gains. Which metric is most directly tied to productivity improvement?

Question 131easymultiple choice

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A team wants to build a GenAI application that can interact with external APIs (e.g., to check inventory or place orders). Which Vertex AI component provides this capability?

Question 132mediummultiple choice

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During a proof-of-concept, a team notices that their GenAI-powered meeting summarizer occasionally includes hallucinated details. They want to improve summary accuracy before production. Which action would be most effective?

Question 133hardmulti select

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A company is implementing a GenAI-powered internal knowledge base chatbot. They need to ensure answers are based on company documents and the system should be easy to update as documents change. Which TWO components should they use?

Question 134mediummulti select

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A company wants to adopt GenAI for code generation and review. To ensure code quality and security, they plan to implement a change management program. Which THREE actions are most effective?

Question 135mediummulti select

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A team is evaluating whether to build a custom fine-tuned model or use a pre-built API for a document summarization task. Which TWO factors most strongly support using a pre-built API?

Question 136mediummultiple choice

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A company wants to build a customer service chatbot that answers questions about their internal policy documents. The documents are updated monthly, and the team cannot afford to retrain a model each time. Which approach is MOST appropriate?

Question 137easymultiple choice

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Which Google Cloud feature enables you to experiment with different prompts and model parameters interactively, and also supports model tuning without writing code?

Question 138hardmultiple choice

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A financial services firm uses a fine-tuned model for contract analysis. They observe that the model's performance degrades after a few months because contract language evolves. The team wants to maintain accuracy without full retraining. What is the MOST cost-effective approach?

Question 139mediummultiple choice

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A healthcare organization is deploying a generative AI application that processes Protected Health Information (PHI). They must ensure compliance with HIPAA. Which Google Cloud offering should they use?

Question 140mediummulti select

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A retail company wants to generate personalized marketing content (emails, social posts) at scale using generative AI. They need consistent brand voice and the ability to review outputs before publishing. Which two Google Cloud capabilities should they use? (Choose TWO)

Question 141mediummulti select

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An enterprise is evaluating whether to build a custom fine-tuned model or use a pre-built API for code generation. Which three factors should they consider in the build vs. buy decision? (Choose THREE)

Question 142mediummulti select

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A company wants to use Gemini for Google Workspace to improve productivity. They want to generate meeting summaries in Google Meet and draft email replies in Gmail. Which two Duet AI features should they enable? (Choose TWO)

Question 143hardmulti select

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A company is deploying a document summarization solution using Vertex AI. They want to minimize cost while maintaining quality. Which three strategies should they implement? (Choose THREE)

Question 144mediummulti select

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An organization is planning to roll out a generative AI internal knowledge base assistant to employees. They want to ensure adoption and manage change effectively. Which two change management practices should they prioritize? (Choose TWO)

Question 145hardmulti select

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A law firm wants to use generative AI to analyze contracts and extract key clauses. They need high accuracy and the ability to handle diverse contract formats. Which three steps should they take in their proof-of-concept (PoC) phase? (Choose THREE)

Question 146easymulti select

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A marketing team wants to generate social media posts using generative AI. They need the tone to be consistent with their brand voice. Which two prompt engineering techniques should they use? (Choose TWO)

Question 147mediummulti select

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A company is using Vertex AI to generate report summaries. They want to measure ROI. Which three metrics should they track? (Choose THREE)

Question 148hardmulti select

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A company is deploying a code generation assistant for internal developers. They want to ensure the generated code is secure and follows best practices. Which two Vertex AI features should they use? (Choose TWO)

Question 149mediummulti select

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A company wants to integrate generative AI into their existing CRM workflow to draft personalized email responses. They have limited engineering resources. Which two approaches should they consider? (Choose TWO)

Question 150easymulti select

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