WGU D685 - Practical Applications of Prompt
with questions and well verified answers
actual exam!!! 2026
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications. - ANSWER -The limitations of AI can be categorized
into three main areas:
- 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
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
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
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
statistical analysis - ANSWER -a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and make predictions
AI tools - ANSWER -software programs designed to assist users in performing AI-related
tasks
This is an example of Few-Shot Prompting - ANSWER -Match the example prompts with
the technique:
"Write a dialogue between two friends planning a trip."
structured data - ANSWER -data that is organized in a well-defined format and is
typically stored in databases or spreadsheets
unstructured data - ANSWER -includes text documents, images, videos, audio
recordings, social media posts, and other types of data that do not fit neatly into a structured
format
byte - ANSWER -a unit of digital information
with questions and well verified answers
actual exam!!! 2026
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications. - ANSWER -The limitations of AI can be categorized
into three main areas:
- 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
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
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
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
statistical analysis - ANSWER -a technique employed in AI that involves collecting,
organizing, examining, and interpreting data to identify patterns and make predictions
AI tools - ANSWER -software programs designed to assist users in performing AI-related
tasks
This is an example of Few-Shot Prompting - ANSWER -Match the example prompts with
the technique:
"Write a dialogue between two friends planning a trip."
structured data - ANSWER -data that is organized in a well-defined format and is
typically stored in databases or spreadsheets
unstructured data - ANSWER -includes text documents, images, videos, audio
recordings, social media posts, and other types of data that do not fit neatly into a structured
format
byte - ANSWER -a unit of digital information
