WGU D685 UPDATED ACTUAL
QUESTIONS AND CORRECT ANSWERS
EXAM SCRIPT
◉ - dependence on training data
- limited common sense
- lack of emotional sense.
Answer: Fundamental limitations of AI include:
◉ - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Answer: Practical limitations of AI include:
◉ - data privacy
- safety
- security concerns
Answer: Societal concerns on AI include:
◉ artificial intelligence (AI)
,Answer: the study of creating machines and computer systems
capable of performing tasks that typically require human
intelligence
◉ narrow AI
Answer: artificial intelligence that is designed and trained for a
specific task or narrow set of tasks
◉ general AI
Answer: a hypothetical future AI system that would possess
human-level intelligence
◉ algorithms
Answer: defined methods or processes employed to train models,
generate predictions, and execute tasks using data
◉ machine learning
Answer: a branch of AI that enables computers to improve their
performance through experience without needing explicit
programming
◉ AI model
Answer: a computer program designed to make predictions or
decisions based on input data
,◉ supervised learning
Answer: a technique where a model is trained using data that
includes labeled examples, such as images with tagged objects or
text with marked entities
◉ unsupervised learning
Answer: a type of machine learning where the model is trained on
unlabeled data without explicit guidance or supervision
◉ reinforcement learning
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from
data called training to recognize patterns, make predictions, and
perform tasks such as classification, regression, and pattern
recognition
◉ deep learning
Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ generative AI
, Answer: AI systems that can create new content
◉ large language models (LLMs)
Answer: a type of machine learning model that is trained on
massive amounts of text data to understand and generate human-
like language
◉ natural language processing (NLP)
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ chatbots
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and
even offering emotional support
◉ computer vision
Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such
as images and videos
◉ robotics
Answer: the field of AI that focuses on designing, constructing,
and operating robots
QUESTIONS AND CORRECT ANSWERS
EXAM SCRIPT
◉ - dependence on training data
- limited common sense
- lack of emotional sense.
Answer: Fundamental limitations of AI include:
◉ - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Answer: Practical limitations of AI include:
◉ - data privacy
- safety
- security concerns
Answer: Societal concerns on AI include:
◉ artificial intelligence (AI)
,Answer: the study of creating machines and computer systems
capable of performing tasks that typically require human
intelligence
◉ narrow AI
Answer: artificial intelligence that is designed and trained for a
specific task or narrow set of tasks
◉ general AI
Answer: a hypothetical future AI system that would possess
human-level intelligence
◉ algorithms
Answer: defined methods or processes employed to train models,
generate predictions, and execute tasks using data
◉ machine learning
Answer: a branch of AI that enables computers to improve their
performance through experience without needing explicit
programming
◉ AI model
Answer: a computer program designed to make predictions or
decisions based on input data
,◉ supervised learning
Answer: a technique where a model is trained using data that
includes labeled examples, such as images with tagged objects or
text with marked entities
◉ unsupervised learning
Answer: a type of machine learning where the model is trained on
unlabeled data without explicit guidance or supervision
◉ reinforcement learning
Answer: a type of machine learning wherein an AI agent learns
through interactions with an environment, garnering rewards or
penalties contingent upon its actions
◉ neural networks
Answer: computational models inspired by the structure and
function of the human brain's neural networks that learn from
data called training to recognize patterns, make predictions, and
perform tasks such as classification, regression, and pattern
recognition
◉ deep learning
Answer: a powerful subset of machine learning that uses artificial
neural networks to learn from large amounts of data
◉ generative AI
, Answer: AI systems that can create new content
◉ large language models (LLMs)
Answer: a type of machine learning model that is trained on
massive amounts of text data to understand and generate human-
like language
◉ natural language processing (NLP)
Answer: the field of AI concentrated on enabling computers to
understand and engage with human language, mirroring the
intricacies of human communication
◉ chatbots
Answer: AI programs designed to engage in natural conversations
with people, providing information, answering questions, and
even offering emotional support
◉ computer vision
Answer: a field of artificial intelligence that enables computers to
interpret and analyze visual information from the real world, such
as images and videos
◉ robotics
Answer: the field of AI that focuses on designing, constructing,
and operating robots
