Question 31
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.
Question 32
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.
Question 33
An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?
A. Use few-shot prompting.
B. Use role prompting.
C. Adjust the temperature parameter.
D. Use prompt chaining.
Question 34
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.
Question 35
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.
Question 36
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.
Question 37
A development team is building an internal knowledge base chatbot to answer employee questions about company policies and procedures. This information is stored across various documents in Google Cloud Storage and is updated regularly by different departments. What is the primary benefit of using Google Cloud’s RAG APIs in this scenario?
A. They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
B. They automatically create summaries of all company policies, which are then presented to employees as quick answers.
C. They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
D. They allow the development team to train a single foundation model on all company documents.
Question 38
A company’s large learning model (LLM) is producing hallucinations that are a result of the knowledge cutoff. How does retrieval-augmented generation (RAG) overcome this limitation?
A. RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.
B. RAG uses human oversight to ensure accuracy before presenting information to the customer.
C. RAG enables the LLM to retrieve relevant and up-to-date information from knowledge sources.
D. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.
Question 39
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
Question 40
A company is developing a conversational AI chatbot. They need to ensure the chatbot can engage in human-like conversations and provide accurate information. What should they do to enhance the chatbot’s ability to understand and respond effectively to user prompts?
A. Lower model temperature setting to produce more consistent and predictable responses.
B. Use strict keyword matching to ensure that the chatbot only responds to specific commands.
C. Limit the chatbot’s training data to prevent it from learning irrelevant information.
D. Use prompt engineering techniques like few-shot prompting, to provide the chatbot with examples of successful interactions.
