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Reference: https://cloud.google.com/developers/generative-ai-leader
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Google Cloud Certified - Generative AI Leader Sample Questions:
A home loan company is deploying a generative AI system to automate initial loan application reviews. Several applicants have been unexpectedly rejected, leading to customer complaints and potential bias concerns. They need to ensure responsible and fair lending practices. What aspect of the AI system should they prioritize?
- A. Implementing stricter data security measures to protect applicants' financial information from unauthorized access.
- B. Regularly updating the AI model with more financial data to improve its accuracy over time.
- C. Ensuring AI decision-making is explainable to understand decision reasons and establish accountability.
- D. Increasing the speed at which the AI system processes loan applications to handle the high volume.
Correct Answer: C 🗳️
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An organization wants to quickly experiment with different Gemini models and parameters for content creation without a complex setup. What service should the organization use for this initial exploration?
- A. Gemini for Google Workspace
- B. Vertex AI Studio
- C. Vertex AI Prediction
- D. Google AI Studio
Correct Answer: B 🗳️
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A large company is creating their generative AI (gen AI) solution by using Google Cloud's offerings. They want to ensure that their mid-level managers contribute to a successful gen AI rollout by following Google-recommended practices. What should the mid-level managers do?
- A. Perform continuous testing, measurement, and refinement based on user feedback and real-world performance data.
- B. Create a robust data strategy to ensure teams can access high-quality, relevant data that is appropriate for training and fine-tuning gen AI models.
- C. Secure funding and resources for AI initiatives by demonstrating the potential return on investment to the chief financial officer (CFO).
- D. Drive gen AI adoption by identifying high-impact, feasible solutions that address specific challenges within their workflows.
Correct Answer: D 🗳️
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A company's customer service chatbot is built on limited rules and struggles with complex customer queries, which causes customer frustration. They want to try different generative AI models and modify them to improve performance, but their current AI setup makes this difficult and costly. Which Google Cloud benefit would help solve this problem?
- A. Comprehensive security features
- B. AI-optimized infrastructure
- C. Integrated MLOps tools
- D. Pre-trained and tunable models
Correct Answer: D 🗳️
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A large multinational corporation with geographically dispersed teams struggles with knowledge silos and inconsistent access to crucial internal information. What is a key business benefit of using Gemini Enterprise in this scenario?
- A. Automation of employee performance reviews using AI.
- B. Improved IT infrastructure management across offices.
- C. Seamless knowledge sharing and collaboration across internal systems.
- D. Enhanced data encryption and compliance for internal communications.
Correct Answer: C 🗳️
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