WGU D685 PRACTICAL APPLICATIONS OF
PROMPT EXAM PREP TEST BANK
VERIFIED QUESTIONS AND CORRECT
ANSWERS
●● Fundamental limitations of AI include:
Answer: - dependence on training data
- limited common sense
- lack of emotional sense.
●● Practical limitations of AI include:
Answer: - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
●● Societal concerns on AI include:
Answer: - data privacy
- safety
- security concerns
●● 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
PROMPT EXAM PREP TEST BANK
VERIFIED QUESTIONS AND CORRECT
ANSWERS
●● Fundamental limitations of AI include:
Answer: - dependence on training data
- limited common sense
- lack of emotional sense.
●● Practical limitations of AI include:
Answer: - perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
●● Societal concerns on AI include:
Answer: - data privacy
- safety
- security concerns
●● 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
