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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q46-Q51):

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. Adjust the temperature parameter.
B. Use prompt chaining.
C. Use role prompting.
D. Use few-shot prompting.

Answer: C

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.
________________________________________

NEW QUESTION # 47
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 identify potential bugs and security vulnerabilities in their code.
C. Use gen AI to automatically generate comprehensive documentation for their code.
D. Use gen AI to suggest code snippets and complete functions.

Answer: D

Explanation:
While generative AI can assist with all the options listed (refactoring, documentation, bug identification), its most direct and significant impact on coding faster for a prototype is through code generation. Suggesting code snippets and completing functions directly accelerates the writing of new code, enabling quicker prototyping.
________________________________________

NEW QUESTION # 48
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 filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.
B. To limit the maximum text length that the model generates by ensuring concise responses.
C. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
D. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.

Answer: A

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.
________________________________________

NEW QUESTION # 49
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

A. Security agent
B. Customer service agent
C. Code agent
D. Data agent

Answer: A

Explanation:
Given the tasks

NEW QUESTION # 50
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. Lower model temperature setting to produce more consistent and predictable responses.
C. Use strict keyword matching to ensure that the chatbot only responds to specific commands.
D. Limit the chatbot's training data to prevent it from learning irrelevant information.

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 # 51
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Valid Real Google Generative-AI-Leader Exam, Generative-AI-Leader Latest Study Plan

Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q46-Q51):

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