Generative AI and AI Agent Functions

What is the definition of generative AI?

• A. A type of predictive model that estimates a relationship by fitting a line to the observed data.

• B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.

• C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.

• D. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.

A company wants to use an AI agent to automate some tasks. They want everyone to understand the different functions of an AI agent. What is the function of an AI agent in the context of gen AI?

• To provide the computational resources needed to train and run gen AI models.

• To store and manage large datasets used for training and running gen AI models.

• To provide a user-friendly interface for interacting with gen AI models.

• To analyze situations, use multiple tools, and make informed decisions without requiring constant human input.

What is the definition of an AI agent?

• An application that learns how to achieve a goal based on inputs and tools available to it.

• A human expert who oversees and manages the operation of a gen AI application.

• A type of user interface that allows users to interact with a gen AI application.

• A static component of a gen AI application that provides information to the user.

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?

• Unsupervised learning

• Reinforcement learning

• Supervised learning

• Deep learning

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?

• Deep learning

• Reinforcement learning

• Supervised learning

• Unsupervised learning

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 deployment for this scenario would be too expensive and complex.

• Gemini’s designed for flexible content generation and inference, not rigid rule-based decisions.

• Gemini is not equipped to handle structured numerical data for financial assessments.

• Gemini cannot integrate with required financial databases.

What is an example of unsupervised machine learning?

• Predicting subscription renewal based on past renewal status data.

• Training a system to recognize product images using labeled categories.

• Analyzing customer purchase patterns to identify natural groupings.

• Forecasting sales figures using historical sales and marketing spend.

A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

• By providing integrated tools for collecting, processing, and storing both streaming and structured data.

• By only supporting structured databases and not streaming data.

• By requiring manual data collection for all types of data.

• By offering support exclusively for unstructured data.

Which of the above statements is correct?

• Google Cloud’s strengths are in the data analysis tools such as BigQuery.

• The Gemini app is the primary Google Cloud tool for directly collecting data.

• Google Cloud relies on Vertex AI to connect to external data.

• Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.

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?

• Data agent

• Security agent

• Customer service agent

• Code agent