Free Generative AI Leader Exam Generative-AI-Leader Exam Practice Test

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?

• Vertex AI Search
• Vertex AI Platform
• Google Shopping
• Google Search

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 criteria. Why is this an inappropriate use case for Gemini?

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

An organization wants to use generative AI to create a chatbot that can answer customer questions about their account balances. They need to ensure that the chatbot can access previous portions of the conversation with the customer. Which prompting technique should they use?

• Use zero-shot prompting.
• Use role prompting.
• Use few-shot prompting.
• Use prompt chaining.

A company’s development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly.What Google Cloud benefit would help the company achieve their goal?

• Google Cloud's pre-trained models and low- and no-code AI tools and services.
• Google Cloud's collaborative AI community and support forums connect developers with AI experts.
• Google Cloud's comprehensive training materials and tutorials to help developers.
• Google Cloud's focus on continuous improvement provides access to the latest AI tools, features, and best practices.

A logistics company wants to use a generative AI (gen AI) agent to automatically check real-time inventory levels across its warehouses and adjust delivery schedules. The gen AI agent needs access to internal inventory data. They want the most cost-effective solution. What should the organization do?

• Build a custom API instead of using the gen AI agent.
• Use pre-built gen AI chatbots for inventory questions.
• Use Vertex AI Studio to fine-tune a model with sample inventory data.
• Use Google Cloud databases and Vertex AI for the agent to get live data.

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?

• Use role prompting.
• Use prompt chaining.
• Use few-shot prompting.
• Adjust the temperature parameter.

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

• Reinforcement learning
• Unsupervised learning
• Deep learning
• Supervised learning

A company is developing an AI character for a video game. The AI character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes actions that lead to positive outcomes, like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character’s ability to play the game effectively. What machine learning should the company use?

• Reinforcement learning
• Unsupervised learning
• Supervised learning
• Deep learning

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?

• Security agent
• Data agent
• Code agent
• Customer service agent

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?

• They provide a pre-built user interface for the chatbot, simplifying the front-end development process.
• They allow the development team to train a single foundation model on all company documents.
• They enable the generative AI model to retrieve the most up-to-date and relevant information from the policy documents in real-time.
• They automatically create summaries of all company policies, which are then presented to employees as quick answers.