WGU D685 - PRACTICAL
APPLICATIONS OF
PROMPT
250+ (Latest 2025-2026 Edition)
100% Verified Q&A + Answer Key
Solutions
100% Guarantee Pass
This Exam contains: WGU D685 - Practical
✓ Applications of Prompt
✓ 100% Accurate Questions and Answers
✓ 100% Guarantee Pass - Verified by Experts
✓ Each Question Includes The Correct Answer
✓ Expert-Verified
Trusted by thousands of students and professionals worldwide Page 1 of 38
,Question 1
The limitations of AI can be categorized into three main areas:
Correct Answer
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Question 2
Fundamental limitations of AI include:
Correct Answer
- dependence on training data
- limited common sense
- lack of emotional sense.
Question 3
Practical limitations of AI include:
Correct Answer
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Question 4
Societal concerns on AI include:
Correct Answer
- data privacy
- safety
- security concerns
Question 5
artificial intelligence (AI)
Correct Answer
the study of creating machines and computer systems capable of performing tasks that typically require human
intelligence
Question 6
narrow AI
Correct Answer
artificial intelligence that is designed and trained for a specific task or narrow set of tasks
Question 7
general AI
Correct Answer
a hypothetical future AI system that would possess human-level intelligence
Trusted by thousands of students and professionals worldwide Page 2 of 38
,Question 8
algorithms
Correct Answer
defined methods or processes employed to train models, generate predictions, and execute tasks using data
Question 9
machine learning
Correct Answer
a branch of AI that enables computers to improve their performance through experience without needing explicit
programming
Question 10
AI model
Correct Answer
a computer program designed to make predictions or decisions based on input data
Question 11
supervised learning
Correct 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
Question 12
unsupervised learning
Correct Answer
a type of machine learning where the model is trained on unlabeled data without explicit guidance or supervision
Question 13
reinforcement learning
Correct Answer
a type of machine learning wherein an AI agent learns through interactions with an environment, garnering
rewards or penalties contingent upon its actions
Question 14
neural networks
Correct 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
Trusted by thousands of students and professionals worldwide Page 3 of 38
, Question 15
deep learning
Correct Answer
a powerful subset of machine learning that uses artificial neural networks to learn from large amounts of data
Question 16
generative AI
Correct Answer
AI systems that can create new content
Question 17
large language models (LLMs)
Correct Answer
a type of machine learning model that is trained on massive amounts of text data to understand and generate
human-like language
Question 18
natural language processing (NLP)
Correct Answer
the field of AI concentrated on enabling computers to understand and engage with human language, mirroring the
intricacies of human communication
Question 19
chatbots
Correct Answer
AI programs designed to engage in natural conversations with people, providing information, answering questions,
and even offering emotional support
Question 20
computer vision
Correct Answer
a field of artificial intelligence that enables computers to interpret and analyze visual information from the real
world, such as images and videos
Question 21
robotics
Correct Answer
the field of AI that focuses on designing, constructing, and operating robots
Trusted by thousands of students and professionals worldwide Page 4 of 38
APPLICATIONS OF
PROMPT
250+ (Latest 2025-2026 Edition)
100% Verified Q&A + Answer Key
Solutions
100% Guarantee Pass
This Exam contains: WGU D685 - Practical
✓ Applications of Prompt
✓ 100% Accurate Questions and Answers
✓ 100% Guarantee Pass - Verified by Experts
✓ Each Question Includes The Correct Answer
✓ Expert-Verified
Trusted by thousands of students and professionals worldwide Page 1 of 38
,Question 1
The limitations of AI can be categorized into three main areas:
Correct Answer
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Question 2
Fundamental limitations of AI include:
Correct Answer
- dependence on training data
- limited common sense
- lack of emotional sense.
Question 3
Practical limitations of AI include:
Correct Answer
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
Question 4
Societal concerns on AI include:
Correct Answer
- data privacy
- safety
- security concerns
Question 5
artificial intelligence (AI)
Correct Answer
the study of creating machines and computer systems capable of performing tasks that typically require human
intelligence
Question 6
narrow AI
Correct Answer
artificial intelligence that is designed and trained for a specific task or narrow set of tasks
Question 7
general AI
Correct Answer
a hypothetical future AI system that would possess human-level intelligence
Trusted by thousands of students and professionals worldwide Page 2 of 38
,Question 8
algorithms
Correct Answer
defined methods or processes employed to train models, generate predictions, and execute tasks using data
Question 9
machine learning
Correct Answer
a branch of AI that enables computers to improve their performance through experience without needing explicit
programming
Question 10
AI model
Correct Answer
a computer program designed to make predictions or decisions based on input data
Question 11
supervised learning
Correct 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
Question 12
unsupervised learning
Correct Answer
a type of machine learning where the model is trained on unlabeled data without explicit guidance or supervision
Question 13
reinforcement learning
Correct Answer
a type of machine learning wherein an AI agent learns through interactions with an environment, garnering
rewards or penalties contingent upon its actions
Question 14
neural networks
Correct 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
Trusted by thousands of students and professionals worldwide Page 3 of 38
, Question 15
deep learning
Correct Answer
a powerful subset of machine learning that uses artificial neural networks to learn from large amounts of data
Question 16
generative AI
Correct Answer
AI systems that can create new content
Question 17
large language models (LLMs)
Correct Answer
a type of machine learning model that is trained on massive amounts of text data to understand and generate
human-like language
Question 18
natural language processing (NLP)
Correct Answer
the field of AI concentrated on enabling computers to understand and engage with human language, mirroring the
intricacies of human communication
Question 19
chatbots
Correct Answer
AI programs designed to engage in natural conversations with people, providing information, answering questions,
and even offering emotional support
Question 20
computer vision
Correct Answer
a field of artificial intelligence that enables computers to interpret and analyze visual information from the real
world, such as images and videos
Question 21
robotics
Correct Answer
the field of AI that focuses on designing, constructing, and operating robots
Trusted by thousands of students and professionals worldwide Page 4 of 38