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A highly regulated financial institution wants to use Gemini as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteri a. Why is this an inappropriate use case for Gemini?

• A. Gemini is not equipped to handle structured numerical data for financial assessments.
• B. Gemini cannot integrate with required financial databases.
• C. Gemini deployment for this scenario would be too expensive and complex.
• D. Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.

A company is defining their generative AI strategy. They want to follow Google-recommended practices to increase their chances of success. Which strategy should they use?

• A. Multi-directional strategy
• B. Rapid implementation strategy
• C. Bottom-up strategy
• D. Top-down strategy

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. Increasing the speed at which the AI system processes loan applications to handle the high volume.
• B. Regularly updating the AI model with more financial data to improve its accuracy over time.
• C. Implementing stricter data security measures to protect applicants' financial information from unauthorized access.
• D. Ensuring AI decision-making is explainable to understand decision reasons and establish accountability.

A finance team wants to use Gemma to help with daily tasks so that the financial analysts can focus on other work. Which business problem can Gemma most efficiently address?

• A. The struggle to accurately extract key financial figures and insights from a variety of document formats, such as balance sheets and income statements, for quick reporting.
• B. The challenge of efficiently producing high-quality written summaries and initial drafts of financial communications.
• C. The difficulty in analyzing large datasets of financial transactions and market data to identify anomalies and predict future financial performance.
• D. The complexity of building and deploying sophisticated internal knowledge bases to answer employees' finance-related questions with accurate and up-to-date information.

A company wants to use generative AI (gen AI) for their customer service department. They want to follow Google-recommended practices. Which use case is a suitable application?

• A. Use gen AI to generate personalized responses to customer inquiries, assisting human agents in providing better support.
• B. Use gen AI to create favorable customer reviews to improve the company's online reputation.
• C. Use gen AI to scrape the internet for publicly available information about people, and use this data to create detailed personality profiles for each customer.
• D. Use gen AI to automate responses to customer inquiries, eliminating the need for human customer service agents.