WGU D685 PRACTICAL APPLICATIONS OF
PROMPT COMPREHENSIVE EXAM STUDY
GUIDE COMPLETE QUESTIONS AND
SOLUTIONS
●● 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
PROMPT COMPREHENSIVE EXAM STUDY
GUIDE COMPLETE QUESTIONS AND
SOLUTIONS
●● 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
