GEN AI LEADER CERTIFICATION QUESTIONS
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Terms in this set (74)
What is the fundamental difference Artificial Intelligence (AI): Building machines that
between Artificial Intelligence (AI) can perform tasks that typically require human
and Machine Learning (ML)? 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 An application of Machine Learning (ML) that
relationship to Machine Learning. focuses on creating new content. It's a subset of ML.
What are Large Language Models Large Language Models (LLMs): A type of
(LLMs)? foundation model that is designed to understand
and generate human language.
,Explain the concept of "Foundation Powerful Machine Learning models trained on
Models." massive amounts of unlabeled data, allowing them
to develop a broad understanding of the world.
What are the four main components Agent
of an AI Agent, as described in the Reasoning Loop
guides? Tools
Model
Describe the process of Retrieval- Retrieval: The LLM retrieves relevant information
Augmented Generation (RAG). 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 Deterministic (traditional) Agents: Agents that are
agents and how do they differ? 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 ReAct (Reason and act): Allows the LLM to reason
techniques mentioned in the guides. 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 Connecting the AI's output to verifiable sources of
model guidance and refinement? information.
Name three prompting techniques for Zero-shot: Asking the model to complete a task
guiding models based on the number with no prior examples.
of examples provided. 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 Google Cloud's unified machine learning (ML)
provide? 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.
Name two of the Gemini tooling The Gemini app: Google's generative AI chatbot for
options for personal productivity. writing, planning, learning, and more.
Gemini for Google Workspace: Integrates gen AI
into familiar Workspace apps (e.g., composing
emails in Gmail, generating images in Slides,
summarizing notes in Meet).
Gemini for Google Cloud: AI assistant for Google
Cloud, helping with code, cloud application
management, data analysis, and security.
NotebookLM: Acts as a research assistant by
summarizing, answering questions, and generating
ideas from uploaded files.
AND ANSWERS LATEST UPDATE
Save
Terms in this set (74)
What is the fundamental difference Artificial Intelligence (AI): Building machines that
between Artificial Intelligence (AI) can perform tasks that typically require human
and Machine Learning (ML)? 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 An application of Machine Learning (ML) that
relationship to Machine Learning. focuses on creating new content. It's a subset of ML.
What are Large Language Models Large Language Models (LLMs): A type of
(LLMs)? foundation model that is designed to understand
and generate human language.
,Explain the concept of "Foundation Powerful Machine Learning models trained on
Models." massive amounts of unlabeled data, allowing them
to develop a broad understanding of the world.
What are the four main components Agent
of an AI Agent, as described in the Reasoning Loop
guides? Tools
Model
Describe the process of Retrieval- Retrieval: The LLM retrieves relevant information
Augmented Generation (RAG). 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 Deterministic (traditional) Agents: Agents that are
agents and how do they differ? 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 ReAct (Reason and act): Allows the LLM to reason
techniques mentioned in the guides. 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 Connecting the AI's output to verifiable sources of
model guidance and refinement? information.
Name three prompting techniques for Zero-shot: Asking the model to complete a task
guiding models based on the number with no prior examples.
of examples provided. 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 Google Cloud's unified machine learning (ML)
provide? 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.
Name two of the Gemini tooling The Gemini app: Google's generative AI chatbot for
options for personal productivity. writing, planning, learning, and more.
Gemini for Google Workspace: Integrates gen AI
into familiar Workspace apps (e.g., composing
emails in Gmail, generating images in Slides,
summarizing notes in Meet).
Gemini for Google Cloud: AI assistant for Google
Cloud, helping with code, cloud application
management, data analysis, and security.
NotebookLM: Acts as a research assistant by
summarizing, answering questions, and generating
ideas from uploaded files.
