GEN AI LEADER
CERTIFICATION 2026 EXAM
QUESTIONS AND ANSWERS |
100% PASS
What is the fundamental difference between Artificial Intelligence (AI)
and Machine Learning (ML)? - ANSWER ✔✔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. -
ANSWER ✔✔An application of Machine Learning (ML) that focuses
on creating new content. It's a subset of ML.
What are Large Language Models (LLMs)? - ANSWER ✔✔Large
Language Models (LLMs): A type of foundation model that is designed to
understand and generate human language.
Explain the concept of "Foundation Models." - ANSWER ✔✔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? - ANSWER ✔✔Agent
Reasoning Loop
Tools
Model
Describe the process of Retrieval-Augmented Generation (RAG). -
ANSWER ✔✔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? -
ANSWER ✔✔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. -
ANSWER ✔✔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.
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2026. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
3
CERTIFICATION 2026 EXAM
QUESTIONS AND ANSWERS |
100% PASS
What is the fundamental difference between Artificial Intelligence (AI)
and Machine Learning (ML)? - ANSWER ✔✔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. -
ANSWER ✔✔An application of Machine Learning (ML) that focuses
on creating new content. It's a subset of ML.
What are Large Language Models (LLMs)? - ANSWER ✔✔Large
Language Models (LLMs): A type of foundation model that is designed to
understand and generate human language.
Explain the concept of "Foundation Models." - ANSWER ✔✔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? - ANSWER ✔✔Agent
Reasoning Loop
Tools
Model
Describe the process of Retrieval-Augmented Generation (RAG). -
ANSWER ✔✔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? -
ANSWER ✔✔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. -
ANSWER ✔✔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.
COPYRIGHT©NINJANERD 2025/2026. YEAR PUBLISHED 2026. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE. PRIVACY
STATEMENT. ALL RIGHTS RESERVED
3
