USE LATEST GOOGLE GENERATIVE-AI-LEADER DUMPS AND GAIN BRILLIANT SCORES

Use Latest Google Generative-AI-Leader Dumps And Gain Brilliant Scores

Use Latest Google Generative-AI-Leader Dumps And Gain Brilliant Scores

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q42-Q47):

NEW QUESTION # 42
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. Lower model temperature setting to produce more consistent and predictable responses.
  • B. Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.
  • C. Limit the chatbot's training data to prevent it from learning irrelevant information.
  • D. Use strict keyword matching to ensure that the chatbot only responds to specific commands.

Answer: B

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.
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NEW QUESTION # 43
A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?

  • A. To limit the maximum text length that the model generates by ensuring concise responses.
  • B. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
  • C. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.
  • D. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.

Answer: D

Explanation:
Safety settings in generative AI models are specifically designed to prevent the generation of content that could be harmful, offensive, or inappropriate. This includes filtering for categories like hate speech, sexually explicit content, self-harm, and violence, based on predefined thresholds. Options A, B, and D refer to other parameters like max_output_tokens or temperature, which control output length, input/output processing, and creativity, respectively, not safety.
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NEW QUESTION # 44
What will Google Cloud's Agent Assist help a company achieve?

  • A. The infrastructure to provide an enterprise-grade contact center solution with omnichannel support, routing, and integration with CRM systems.
  • B. The ability to build and deploy deterministic and generative chatbot agents for automated customer support.
  • C. The ability to analyze conversational data to identify customer sentiment, common topics of discussion, and insights into agent performance and customer experience.
  • D. The ability to provide real-time assistance and recommended responses to live customer service agents during their interactions.

Answer: D

Explanation:
Google Cloud's Agent Assist is specifically designed to augment human customer service agents. It provides real-time suggestions, retrieves relevant information, and offers recommended responses to agents during live interactions, improving their efficiency and consistency.
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NEW QUESTION # 45
A large e-commerce company with a substantial product catalog and many support documents has customers struggling to find information on their website. This leads to high support costs and poor user experience. The company wants a Google Cloud solution to improve website search and reduce support costs while improving customer satisfaction. What Google Cloud product should the company use?

  • A. Google Search
  • B. Google Shopping
  • C. Vertex AI Platform
  • D. Vertex AI Search

Answer: D

Explanation:
Vertex AI Search is ideal for this scenario. It allows companies to build sophisticated search experiences over their own product catalogs and support documents. This improves accuracy and helps customers find what they need, directly addressing high support costs and poor user experience. Vertex AI Platform is broader for general ML development, Google Shopping is for consumers, and Google Search is for the public web.
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NEW QUESTION # 46
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 role prompting.
  • B. Use prompt chaining.
  • C. Adjust the temperature parameter.
  • D. Use few-shot prompting.

Answer: A

Explanation:
Role prompting is a technique where you instruct the generative AI model to "act as" a specific persona or character. By assigning the model a role (e.g., "Act as a marketing expert writing for a young, tech-savvy audience"), you can guide its tone, style, and content to be appropriate for the target audience of the marketing campaign.
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NEW QUESTION # 47
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