Generative AI Leader: Generative AI Leader — Free Practice Questions
10 free sample questions from a bank of 10, with the correct answers and explanations. No signup required — start practising right now.
1What is the definition of generative AI?
A type of predictive model that estimates a relationship by fitting a line to the observed data.
A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.
Answer: B
2A 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.
Answer: D
3What 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.
Answer: A
4A 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
Answer: B
5A 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
Answer: D
6A 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.
Answer: B
7What 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.
Answer: C
8A user asks a generative AI model about the scientific accuracy of a popular science fiction movie. The model confidently states that humans can indeed travel faster than light, referencing specific but entirely fictional theories and providing made-up explanations of how this is achieved according to the movie's "established science." The model presents this information as factual, without indicating that it originates from a fictional work. What type of model limitation is this?
Bias
Hallucination
Knowledge cutoff
Data dependency
Answer: B
9What does a diffusion model do?
Generates high-quality content by refining noise into structured data.
Facilitates the storage and management of structured data.
Analyzes data and predicts future trends and patterns.
Optimizes business processes and resource allocation.
Answer: A
10An organization is collecting data to train a generative AI model for customer service. They want to ensure security throughout the ML lifecycle. What is a critical consideration at this stage?
Applying the latest software patches to the AI model on a regular basis.
Monitoring the AI model’s performance for unexpected outputs and potential errors.
Establishing ethical guidelines for AI model responses to ensure fairness and avoid harm.
Implementing access controls and protecting sensitive information within the training data.