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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student's knowledge, recommend relevant learning materials, and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?

A. A learning management system (LMS)
B. A large language model fine-tuned on educational content
C. A customized learning agent
D. An AI-powered recommendation system for learning resources

Answer: C

Explanation:
The request goes beyond just recommendations or content generation. It involves assessing knowledge, recommending materials, generating personalized exercises, providing lesson structure, and tracking progress.
This implies a more comprehensive, intelligent system that acts as an assistant or tutor for the student, which is best described as a customized learning agent. This agent would likely leverage LLMs and recommendation systems as components, but the overall solution is an agent.
________________________________________

NEW 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 enables the LLM to retrieve relevant and up-to-date information from knowledge sources.
B. RAG uses human oversight to ensure accuracy before presenting information to the customer.
C. RAG enhances the creative writing capabilities of the LLM to generate more engaging and informative responses.
D. RAG fine-tunes the LLM on specific customer query patterns to improve the speed and efficiency of response generation.

Answer: A

Explanation:
The primary purpose of RAG is to address the "knowledge cutoff" and hallucination issues of LLMs. It does this by retrieving relevant, up-to-date information from external knowledge sources (like databases or documents) at inference time and then using this retrieved information to ground the LLM's generation, ensuring factual accuracy and relevance to the specific query.
________________________________________

NEW QUESTION # 39
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 zero-shot prompting.
B. Use few-shot prompting.
C. Use role prompting.
D. Use prompt chaining.

Answer: D

Explanation:
Prompt chaining (or conversational memory/context management) is the technique used to maintain the conversational context. It involves feeding previous turns of a conversation (or a summary of them) back into the model along with the current user query, allowing the chatbot to "remember" and reference past interactions for coherent and contextually relevant responses, especially crucial for tasks like checking account balances that span multiple turns.
________________________________________

NEW QUESTION # 40
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. Streamlined inventory management processes and more accurate demand forecasting for popular items.
B. Lowered operational costs associated with managing and updating product information across different platforms and channels.
C. Improved customer engagement and product discovery leading to increased satisfaction and potential sales.
D. Reduced dependency on keyword optimization for product listings and improved search engine rankings.

Answer: C

Explanation:
Multimodal search directly enhances the customer experience by allowing them to find products using various intuitive methods (images, voice, text). This leads to easier product discovery, higher engagement, and ultimately increased customer satisfaction and potential sales, which is a primary business benefit.
________________________________________

NEW QUESTION # 41
What does Vertex AI Search enable companies to do?

A. To compare products from numerous online retailers, allowing users to find the best deals and product options across the internet.
B. To index and retrieve information from the entire public web, providing a comprehensive view of publicly available data.
C. To ground LLM responses with first-party data, third-party data, and Google's knowledge graph.
D. To surface the most popular and frequently accessed content based on global user search patterns and trends.

Answer: C

Explanation:
Vertex AI Search is designed to enable powerful search experiences over an organization's own data (first- party), external data (third-party), and can leverage Google's knowledge graph to provide more relevant and accurate responses, especially when grounding Large Language Models (LLMs). It does not index the entire public web like Google Search.
________________________________________

NEW QUESTION # 42
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