Generative AI Leader Free Practice Questions — Page 3
Question 14
A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?
A. Bottom-up strategy
B. Rapid implementation strategy
C. Top-down strategy
D. Multi-directional strategy
Show Answer
Correct Answer: D
Explanation: Google-recommended generative AI practices emphasize combining a top-down approach (leaders set vision, governance, and priorities) with a bottom-up approach (teams identify use cases and provide feedback). This combined approach is best described as a multi-directional strategy, making D the most accurate choice.
Question 15
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?
A. Fine-tune the gen AI model.
B. Collect a larger and more diverse dataset for the gen AI model.
C. Implement explainable gen AI policies.
D. Develop fairness assessments for the gen AI model.
Show Answer
Correct Answer: C
Explanation: The complaints stem from a lack of transparency: customers are not told why their loan applications are rejected. Implementing explainable gen AI policies directly addresses this by providing clear, human-understandable reasons for decisions, improving trust and regulatory compliance. Fine-tuning the model, improving data, or assessing fairness may improve model quality, but they do not solve the immediate issue of unexplained decisions.
Question 16
An organization wants to use generative AI to create a chatbot that can answer customer questions about their account balances. They need to ensure that the chatbot can access previous portions of the conversation with the customer. Which prompting technique should they use?
A. Use prompt chaining.
B. Use zero-shot prompting.
C. Use role prompting.
D. Use few-shot prompting.
Show Answer
Correct Answer: A
Explanation: The requirement is that the chatbot can access and use previous parts of the conversation. Prompt chaining supports multi‑turn interactions by carrying forward outputs and context from earlier prompts into subsequent ones, effectively maintaining conversational history. Zero‑shot, role, and few‑shot prompting do not inherently provide conversation memory.
Question 17
A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image voice, and text). What is a primary business benefit of this capability?
A. Reduced dependency on keyword optimization for product listings and improved search engine rankings.
B. Streamlined inventory management processes and more accurate demand forecasting for popular items.
C. Lowered operational costs associated with managing and updating product information across different platforms and channels.
D. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
Show Answer
Correct Answer: D
Explanation: Multimodal search (image, voice, and text) makes it easier and more intuitive for customers to find and explore products in ways that match their natural behavior. This improves customer engagement, enhances product discovery, and leads to higher satisfaction, which directly increases the likelihood of conversions and sales. The other options focus on secondary or internal benefits rather than the primary customer-facing business value.
Question 18
What does Vertex AI Search enable companies to do?
A. To ground LLM responses with first-party data, third-party data and Google’s knowledge graph.
B. To surface the most popular and frequently accessed content based on global user search patterns and trends.
C. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
D. To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
Show Answer
Correct Answer: A
Explanation: Vertex AI Search is an enterprise search and retrieval service that lets companies index and query their own first‑party data, connect approved third‑party sources, and ground LLM responses using Google’s search and knowledge capabilities. It is designed for RAG and enterprise AI use cases, not consumer trend analysis, full public‑web indexing, or shopping comparison.
Question 19
A global news agency is developing a generative AI tool to quickly summarize breaking news articles as they emerge online. The goal is to provide their audience with rapid updates on fast developing stories from various global sources. What Google Cloud solution should they use?
A. Grounding with Google Search
B. Vertex AI Natural Language API
C. BigQuery
D. Document AI
Show Answer
Correct Answer: A
Explanation: The requirement is to rapidly summarize breaking news from many global online sources. Grounding with Google Search enables generative AI models to access up-to-date, real-time public web information via Google Search, which is essential for fast-developing news. The other options work only on provided or stored data (Vertex AI Natural Language API), analytics datasets (BigQuery), or document parsing (Document AI), and do not provide real-time web sourcing.
Question 20
A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?
A. Increase the temperature parameter of the model to encourage more varied and less literal interpretations.
B. Implement stricter safety settings to filter out potentially misinterpreted content altogether.
C. Incorporate a human-m-the-loop (HITL) review process to refine the summaries.
D. Decrease the output length of the summaries to make them more concise.
Show Answer
Correct Answer: C
Explanation: Misinterpretation of sarcasm and nuanced opinions is a known limitation of generative models. Incorporating a human-in-the-loop review allows humans to detect and correct these errors before publication, reducing misunderstandings. Adjusting temperature, tightening safety filters, or shortening outputs do not address the core comprehension issue.
Question 21
An organization needs an AI tool to analyze and summarize lengthy customer feedback text transcripts. You need to choose a Google foundation model with a large context window. What foundation model should the organization choose?
A. Gemini
B. CodeGemma
C. Imagen
D. Chirp
Show Answer
Correct Answer: A
Explanation: The requirement is a foundation model that can analyze and summarize very long text transcripts, which primarily depends on having a large context window and strong natural language understanding. Gemini models (especially Gemini 1.5 variants) are designed for long-context text comprehension and summarization. CodeGemma is specialized for code, Imagen is for image generation, and Chirp focuses on speech-to-text rather than text analysis.
Question 22
A logistics company wants to use a generative AI (gen AI) agent to automatically check real-time inventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs access to internal inventory data. They want the most cost-effective solution. What should the organization do?
A. Build a custom API instead of using the gen AI agent.
B. Use pre-built gen AI chatbots for inventory questions.
C. Use Vertex AI Studio to fine-tune a model with sample inventory data.
D. Use Google Cloud databases and Vertex AI for the agent to get live data.
Show Answer
Correct Answer: D
Explanation: The agent needs real-time access to internal, frequently changing inventory data and must take actions (adjust schedules). Using Google Cloud databases as the live data source and Vertex AI to build the agent enables secure, up-to-date access via tools/APIs at runtime and is cost-effective. Fine-tuning or chatbots cannot provide live data access, and building a custom API replaces rather than enables the gen AI agent.
Question 23
What is a primary benefit of using a multi-agent system?
A. To manage complex tasks that demand coordinated AI functions.
B. To serve as a platform for hosting traditional, non-AI applications.
C. To simplify the most basic and repetitive rule-based tasks.
D. To consolidate all unique AI functions into a single, undifferentiated model.
Show Answer
Correct Answer: A
Explanation: Multi-agent systems are designed to handle complex problems by decomposing them into sub-tasks handled by specialized agents that coordinate with each other. This distributed, collaborative approach improves scalability, robustness, and problem-solving effectiveness. The other options either describe non-AI uses, overly simple tasks, or the opposite design philosophy of multi-agent systems.
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