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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q16-Q21):

NEW QUESTION # 16
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.

Answer: C

Explanation:
The primary benefit of RAG (Retrieval-Augmented Generation) in this context is its ability to ensure the chatbot provides accurate and up-to-date information. By retrieving relevant and recent policy documents from Cloud Storage in real-time and then grounding the LLM's response with this information, the chatbot avoids hallucinating or providing outdated answers, which is crucial for an internal knowledge base.
________________________________________

NEW QUESTION # 17
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 thechatbot's ability to understand and respond effectively to user prompts?

A. Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.
B. Limit the chatbot's training data to prevent it from learning irrelevant information.
C. Lower model temperature setting to produce more consistent and predictable responses.
D. Use strict keyword matching to ensure that the chatbot only responds to specific commands.

Answer: A

Explanation:
Prompt engineering, especially techniques like few-shot prompting (providing examples of desired input- output pairs), is crucial for guiding a generative AI model to understand context and generate relevant, human- like responses. Limiting data or using strict keyword matching would severely restrict the chatbot's conversational ability, and lowering temperature makes responses less creative, not necessarily more understanding.
________________________________________

NEW QUESTION # 18
What is a characteristic of Google Cloud as a generative AI company?

A. Google Cloud provides fully autonomous AI agents that require zero configuration or management overhead.
B. Google Cloud has an AI-first focus that enables innovation, with continuous updates and broad integration across its platform.
C. Google Cloud ensures that all generative AI models and data are completely secured and isolated from external networks.
D. Google Cloud relies on proprietary, closed-source AI technologies for maximum security benefits.

Answer: B

Explanation:
Google Cloud emphasizes an AI-first approach, integrating AI capabilities across its services and consistently innovating with new models and features. While security is a high priority, fully autonomous AI agents requiring zero configuration are generally not the norm, and "completely secured and isolated from external networks" is an oversimplification of cloud security models. Google also contributes to and supports open- source AI initiatives, not solely relying on proprietary closed-source technologies.
________________________________________

NEW QUESTION # 19
A marketing team wants to use a foundation model to create social media and advertising campaigns. They want to create written articles and images from text. They lack deep AI expertiseand need a versatile solution.
Which Google foundation model should they use?

A. Gemma
B. Gemini
C. Veo
D. Imagen

Answer: B

Explanation:
Gemini is Google's most advanced and multimodal foundation model, capable of understanding and generating various forms of content, including text and images, from a single prompt. Its versatility makes it suitable for marketing teams that need to create diverse campaign materials without deep AI expertise.
Imagen is specifically for image generation, Gemma is a family of smaller, open models, and Veo is for video generation.
________________________________________

NEW QUESTION # 20
A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles 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. Vertex AI Natural Language API
B. Document AI
C. BigQuery
D. Grounding with Google Search

Answer: D

Explanation:
For summarizing breaking news articles as they emerge online from various global sources, the generative AI model needs access to current, broad, and rapidly updating information. Grounding with Google Search allows the LLM to pull in the latest information from the web, ensuring the summaries are current and comprehensive. While Vertex AI Natural Language API can summarize text, it wouldn't inherently have access to the latest breaking news unless explicitly fed.
________________________________________

NEW QUESTION # 21
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