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Wgu D429 Introduction To Ai For Computer
Scientists 2025|Actual Exam With 100% Verified
Questions And Correct Answers| Excellent Scores
Artificial intelligence (AI) - correct-answer-machine-driven, human-like
intelligence and problem-solving systems
intelligence - correct-answer-the ability to understand, apply knowledge, and
solve complex problems
rationality - correct-answer-the ability to make sound decisions
Turing test - correct-answer-a thought experiment that decides a computer's
ability to respond as a human
natural language processing - correct-answer-a computer's ability to
communicate in human language
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knowledge representation - correct-answer-the ability to store information
automated reasoning - correct-answer-the computer's ability to answer questions
and draw new conclusions
machine learning (ML) - correct-answer-the field of study that gives computers
the ability to learn from data without being explicitly programmed
total Turing test - correct-answer-evaluates a machine's intelligence by assessing
its ability to not only communicate in natural language but also perceive and
interact with the physical world and become indistinguishable from a human
computer vision - correct-answer-a field of computer science that focuses on
enabling computers to find and understand objects and people in images and
videos
robotics - correct-answer-the ability to manipulate and move objects
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dualism - correct-answer-posits the existence of two distinct and independent
realities
convolutional neural network (CNN) - correct-answer-a type of neural network
designed for processing grid-like data, such as images, by applying convolutional
layers to extract features and patterns
dataset augmentation - correct-answer-techniques used to artificially expand the
size and diversity of a dataset by applying transformations like rotation, scaling,
and flipping to the original data
problem domain - correct-answer-specific area or field of application for an AI
system
representation techniques - correct-answer-methods for modeling and
interpreting data
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data structuring - correct-answer-organizing data into a suitable format for
analysis
integration - correct-answer-incorporating representation techniques into the AI
system's architecture
performance testing - correct-answer-evaluating model effectiveness on sample
data
validation - correct-answer-ensuring representation meets problem domain
requirements
machine learning - correct-answer-a type of artificial intelligence where
computers learn from data and improve their performance over time without
being explicitly programmed for specific tasks
induction - correct-answer-figuring out general rules from specific examples
Wgu D429 Introduction To Ai For Computer
Scientists 2025|Actual Exam With 100% Verified
Questions And Correct Answers| Excellent Scores
Artificial intelligence (AI) - correct-answer-machine-driven, human-like
intelligence and problem-solving systems
intelligence - correct-answer-the ability to understand, apply knowledge, and
solve complex problems
rationality - correct-answer-the ability to make sound decisions
Turing test - correct-answer-a thought experiment that decides a computer's
ability to respond as a human
natural language processing - correct-answer-a computer's ability to
communicate in human language
, Page |2
knowledge representation - correct-answer-the ability to store information
automated reasoning - correct-answer-the computer's ability to answer questions
and draw new conclusions
machine learning (ML) - correct-answer-the field of study that gives computers
the ability to learn from data without being explicitly programmed
total Turing test - correct-answer-evaluates a machine's intelligence by assessing
its ability to not only communicate in natural language but also perceive and
interact with the physical world and become indistinguishable from a human
computer vision - correct-answer-a field of computer science that focuses on
enabling computers to find and understand objects and people in images and
videos
robotics - correct-answer-the ability to manipulate and move objects
, Page |3
dualism - correct-answer-posits the existence of two distinct and independent
realities
convolutional neural network (CNN) - correct-answer-a type of neural network
designed for processing grid-like data, such as images, by applying convolutional
layers to extract features and patterns
dataset augmentation - correct-answer-techniques used to artificially expand the
size and diversity of a dataset by applying transformations like rotation, scaling,
and flipping to the original data
problem domain - correct-answer-specific area or field of application for an AI
system
representation techniques - correct-answer-methods for modeling and
interpreting data
, Page |4
data structuring - correct-answer-organizing data into a suitable format for
analysis
integration - correct-answer-incorporating representation techniques into the AI
system's architecture
performance testing - correct-answer-evaluating model effectiveness on sample
data
validation - correct-answer-ensuring representation meets problem domain
requirements
machine learning - correct-answer-a type of artificial intelligence where
computers learn from data and improve their performance over time without
being explicitly programmed for specific tasks
induction - correct-answer-figuring out general rules from specific examples
