GEN AI LEADER CERTIFICATION
EXAM QUESTIONS AND ANSWERS 2026
VERIFIED.
What is the fundamental difference between Artificial Intelligence (AI) and Machine Learning
(ML)? - ANS Artificial Intelligence (AI): Building machines that can perform tasks that typically
require human intelligence, such as learning, problem-solving, and decision-making.
Machine Learning (ML): A subfield of AI where machines learn from data to perform specific
tasks.
Define Generative AI and its relationship to Machine Learning. - ANS An application of
Machine Learning (ML) that focuses on creating new content. It's a subset of ML.
What are Large Language Models (LLMs)? - ANS Large Language Models (LLMs): A type of
foundation model that is designed to understand and generate human language.
Explain the concept of "Foundation Models." - ANS Powerful Machine Learning models
trained on massive amounts of unlabeled data, allowing them to develop a broad
understanding of the world.
What are the four main components of an AI Agent, as described in the guides? - ANS Agent
Reasoning Loop
Tools
Model
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, Describe the process of Retrieval-Augmented Generation (RAG). - ANS Retrieval: The LLM
retrieves relevant information from external sources using tooling.
Augmentation: The retrieved information is incorporated into the prompt to the LLM.
Generation: The LLM processes the prompt and generates a response.
Iteration (optional): The LLM can iterate on the retrieval process as necessary.
What are the two main types of AI agents and how do they differ? - ANS Deterministic
(traditional) Agents: Agents that are built with predefined paths and actions.
Generative Agents: Agents that are defined with natural language using LLMs to give a real
conversational feel to your chatbot.
List three prompt engineering techniques mentioned in the guides. - ANS ReAct (Reason and
act): Allows the LLM to reason and take action on a user query.
CoT (Chain-of-thought): Guides an LLM through a problem-solving process by providing
examples with intermediate reasoning steps.
Metaprompting: Uses prompting to guide the AI model to generate, modify, or interpret other
prompts.
What is "Grounding" in the context of model guidance and refinement? - ANS Connecting the
AI's output to verifiable sources of information.
Name three prompting techniques for guiding models based on the number of examples
provided. - ANS Zero-shot: Asking the model to complete a task with no prior examples.
One-shot: Providing the model with one example to learn from.
Few-shot: Giving the model multiple examples to learn from.
What is Vertex AI, and what does it provide? - ANS Google Cloud's unified machine learning
(ML) platform designed to streamline the entire ML workflow. It provides the infrastructure,
tools, and pre-trained models needed to build, deploy, and manage ML and generative AI
solutions.
@COPYRIGHT ALL RIGHTS RESERVED PAGE 2 OF 12
EXAM QUESTIONS AND ANSWERS 2026
VERIFIED.
What is the fundamental difference between Artificial Intelligence (AI) and Machine Learning
(ML)? - ANS Artificial Intelligence (AI): Building machines that can perform tasks that typically
require human intelligence, such as learning, problem-solving, and decision-making.
Machine Learning (ML): A subfield of AI where machines learn from data to perform specific
tasks.
Define Generative AI and its relationship to Machine Learning. - ANS An application of
Machine Learning (ML) that focuses on creating new content. It's a subset of ML.
What are Large Language Models (LLMs)? - ANS Large Language Models (LLMs): A type of
foundation model that is designed to understand and generate human language.
Explain the concept of "Foundation Models." - ANS Powerful Machine Learning models
trained on massive amounts of unlabeled data, allowing them to develop a broad
understanding of the world.
What are the four main components of an AI Agent, as described in the guides? - ANS Agent
Reasoning Loop
Tools
Model
@COPYRIGHT ALL RIGHTS RESERVED PAGE 1 OF 12
, Describe the process of Retrieval-Augmented Generation (RAG). - ANS Retrieval: The LLM
retrieves relevant information from external sources using tooling.
Augmentation: The retrieved information is incorporated into the prompt to the LLM.
Generation: The LLM processes the prompt and generates a response.
Iteration (optional): The LLM can iterate on the retrieval process as necessary.
What are the two main types of AI agents and how do they differ? - ANS Deterministic
(traditional) Agents: Agents that are built with predefined paths and actions.
Generative Agents: Agents that are defined with natural language using LLMs to give a real
conversational feel to your chatbot.
List three prompt engineering techniques mentioned in the guides. - ANS ReAct (Reason and
act): Allows the LLM to reason and take action on a user query.
CoT (Chain-of-thought): Guides an LLM through a problem-solving process by providing
examples with intermediate reasoning steps.
Metaprompting: Uses prompting to guide the AI model to generate, modify, or interpret other
prompts.
What is "Grounding" in the context of model guidance and refinement? - ANS Connecting the
AI's output to verifiable sources of information.
Name three prompting techniques for guiding models based on the number of examples
provided. - ANS Zero-shot: Asking the model to complete a task with no prior examples.
One-shot: Providing the model with one example to learn from.
Few-shot: Giving the model multiple examples to learn from.
What is Vertex AI, and what does it provide? - ANS Google Cloud's unified machine learning
(ML) platform designed to streamline the entire ML workflow. It provides the infrastructure,
tools, and pre-trained models needed to build, deploy, and manage ML and generative AI
solutions.
@COPYRIGHT ALL RIGHTS RESERVED PAGE 2 OF 12
