Generative AI Leader Free Practice Questions — Page 4
Question 31
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?
A. Use gen AI to refactor and optimize existing code.
B. Use gen AI to automatically generate comprehensive documentation for their code.
C. Use gen AI to identify potential bugs and security vulnerabilities in their code.
D. Use gen AI to suggest code snippets and complete functions.
Show Answer
Correct Answer: D
Explanation: To accelerate development and launch a prototype faster, the most direct use of generative AI is to generate code by suggesting code snippets and completing functions. While refactoring, documentation generation, and bug/security analysis are valuable uses of AI, they primarily support later stages or improve quality rather than maximizing initial coding speed.
Question 32
A company wants to use generative AI to create a chatbot that can answer customer questions about their products and services. They need to ensure that the chatbot only uses information from the company’s official documentation. What should the company do?
A. Use role prompting.
B. Use prompt chaining.
C. Use grounding.
D. Adjust temperature parameter.
Show Answer
Correct Answer: C
Explanation: Grounding connects the model to trusted, authoritative sources such as a company's official documentation so responses are based on that information rather than the model's general knowledge. Role prompting only changes behavior/persona, prompt chaining structures multi-step interactions, and temperature adjusts response randomness/creativity.
Question 33
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's recommended generative AI adoption strategy is to combine a top-down approach (leadership sets vision, governance, and priorities) with a bottom-up approach (employees identify practical use cases and provide feedback). Among the options, 'Multi-directional strategy' is the closest match because it represents this combined approach. A pure top-down strategy captures only part of the recommendation, while rapid implementation and purely bottom-up approaches do not reflect Google's guidance.
Question 34
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 core issue is that customers receive no reasons for loan rejections. Implementing explainable AI (explainable gen AI policies) addresses transparency by providing understandable reasons for decisions, which helps reduce complaints and supports trust and regulatory expectations. Fine-tuning the model, expanding the dataset, or performing fairness assessments may improve model quality or reduce bias, but they do not directly solve the lack of explanations.
Question 35
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: Prompt chaining carries forward outputs and context from earlier interactions into subsequent prompts, enabling multi-turn conversational context. Zero-shot uses no examples, few-shot provides examples, and role prompting sets behavior/persona rather than preserving conversation history.
Question 36
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) primarily improves the customer experience by making it easier and more intuitive to find relevant products. Better product discovery increases engagement, satisfaction, conversion rates, and potential sales. The other options describe secondary or unrelated operational or SEO effects rather than the primary business benefit.
Question 37
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 enables organizations to index and search their own data, integrate supported third-party data sources, and ground generative AI responses using enterprise content and Google capabilities. The other options describe consumer Google services such as Google Trends, Google Search, or Google Shopping rather than Vertex AI Search.
Question 38
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: Grounding with Google Search is the appropriate Google Cloud capability for a generative AI application that must summarize breaking news from rapidly changing public web sources. It enables the model to retrieve up-to-date information from Google Search before generating summaries. Vertex AI Natural Language API analyzes provided text but does not retrieve real-time web content, BigQuery is a data warehouse, and Document AI is for extracting structured data from documents.
Question 39
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: Generative AI commonly struggles with sarcasm, satire, and nuanced intent. A human-in-the-loop (HITL) review process allows human reviewers to detect and correct misinterpretations before publication. Adjusting temperature or summary length does not address the underlying comprehension limitation, and stricter safety filters may unnecessarily suppress content rather than improve summary accuracy.
Question 40
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: Gemini is Google's general-purpose multimodal foundation model family and is designed with large context window capabilities (especially newer versions such as Gemini 1.5), making it suitable for analyzing and summarizing lengthy customer feedback transcripts. CodeGemma is specialized for code tasks, Imagen is for image generation, and Chirp is for speech recognition rather than text summarization.
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