AWS Certified AI Practitioner Foundational AIF-C01 Exam
Questions with Answers Updated 2025
Prompt Engineering
The process where you guide generative artificial intelligence
(generative AI) solutions to generate desired outputs.
Artificial Intelligence
A field of computer science dedicated to solving cognitive problems
commonly associated with human intelligence.
Conversational AI
A technology that makes software capable of understanding and
responding to voice-based or text-based human conversations.
Generative AI
A type of AI that can create new content and ideas, including
conversations, stories, images, videos, and music.
Embedding
A numerical representation of real-world objects that machine learning
(ML) and artificial intelligence (AI) systems use to understand complex
knowledge domains like humans do.
Supervised learning
This is a prominent type of machine learning due to its vast range of
applications. It's termed supervised learning because there must be a
supervisor.
Classification
A supervised learning technique that assigns labels or categories to
new, previously unseen data examples using a learned model.
, AWS Certified AI Practitioner Foundational AIF-C01 Exam
Questions with Answers Updated 2025
Regression
A supervised learning technique that predicts continuous or numerical
values given one or more input variables.
Unsupervised learning
The algorithm tries to discover hidden patterns or structures within
the data without any prior information or guidance.
Clustering
This method divides data into clusters based on similar traits or
distances between data points in order to better understand the
characteristics of a particular cluster.
Dimensionality reduction
An unsupervised learning strategy that minimizes the number of features
or dimensions in a dataset while retaining the most relevant
information or patterns.
Reinforcement learning
One continuously improves their model by analyzing feedback from prior
versions. In reinforcement learning, an agent learns by trial and error
as it interacts with its surroundings.
Intelligent Document Processing (IDP)
A software tool that extracts and categorizes information from
unstructured or structured data, generates summaries, and delivers
actionable insights.
Adaptability
It can adapt to a variety of activities and domains by learning from
data and producing material that is suited to specific situations or
Questions with Answers Updated 2025
Prompt Engineering
The process where you guide generative artificial intelligence
(generative AI) solutions to generate desired outputs.
Artificial Intelligence
A field of computer science dedicated to solving cognitive problems
commonly associated with human intelligence.
Conversational AI
A technology that makes software capable of understanding and
responding to voice-based or text-based human conversations.
Generative AI
A type of AI that can create new content and ideas, including
conversations, stories, images, videos, and music.
Embedding
A numerical representation of real-world objects that machine learning
(ML) and artificial intelligence (AI) systems use to understand complex
knowledge domains like humans do.
Supervised learning
This is a prominent type of machine learning due to its vast range of
applications. It's termed supervised learning because there must be a
supervisor.
Classification
A supervised learning technique that assigns labels or categories to
new, previously unseen data examples using a learned model.
, AWS Certified AI Practitioner Foundational AIF-C01 Exam
Questions with Answers Updated 2025
Regression
A supervised learning technique that predicts continuous or numerical
values given one or more input variables.
Unsupervised learning
The algorithm tries to discover hidden patterns or structures within
the data without any prior information or guidance.
Clustering
This method divides data into clusters based on similar traits or
distances between data points in order to better understand the
characteristics of a particular cluster.
Dimensionality reduction
An unsupervised learning strategy that minimizes the number of features
or dimensions in a dataset while retaining the most relevant
information or patterns.
Reinforcement learning
One continuously improves their model by analyzing feedback from prior
versions. In reinforcement learning, an agent learns by trial and error
as it interacts with its surroundings.
Intelligent Document Processing (IDP)
A software tool that extracts and categorizes information from
unstructured or structured data, generates summaries, and delivers
actionable insights.
Adaptability
It can adapt to a variety of activities and domains by learning from
data and producing material that is suited to specific situations or
