WGU D685 PRACTICAL APPLICATIONS OF
PROMPT PA AND OA QUESTIONS AND
CORRECT ANSWERS
◉ What percentage of the Objective Assessment does Section 1
cover?
Answer: Approximately 30%.
◉ What are the three types of AI mentioned?
Answer: Narrow AI, General AI, and Generative AI.
◉ What is an example of Narrow AI?
Answer: Siri or Netflix recommendations.
◉ What is Generative AI?
Answer: AI that creates new content based on patterns in training
data, like ChatGPT.
◉ What is Supervised Learning?
Answer: A machine learning model that trains on labeled data with
known outcomes.
,◉ What is Unsupervised Learning?
Answer: A machine learning model that finds patterns in unlabeled
data independently.
◉ What is Reinforcement Learning?
Answer: An AI learning method where an agent learns through trial
and error, earning rewards or penalties.
◉ What are Neural Networks?
Answer: Computational models inspired by the human brain that
process data to recognize patterns.
◉ What is Deep Learning?
Answer: A subset of machine learning that uses multi-layer neural
networks for tasks like image recognition.
◉ What are Large Language Models (LLMs)?
Answer: AI trained on massive text datasets to understand and
generate human language.
◉ What does Natural Language Processing (NLP) enable?
Answer: Computers to understand, interpret, and generate human
language.
, ◉ What is the role of Training Data in machine learning?
Answer: It is the dataset used to teach a model, impacting its
performance.
◉ What are Tokens in the context of LLMs?
Answer: The fundamental units text is broken into for processing,
roughly 1 token ≈ 4 characters.
◉ What does Temperature control in AI outputs?
Answer: It controls creativity and randomness; low values yield
focused outputs, high values yield creative ones.
◉ What is a Context Window?
Answer: The maximum amount of text an AI can process at once;
content beyond this limit is forgotten.
◉ What are the capabilities of AI?
Answer: Pattern recognition, natural language understanding,
computer vision, real-time data processing, and content creation.
◉ What are some limitations of AI?
PROMPT PA AND OA QUESTIONS AND
CORRECT ANSWERS
◉ What percentage of the Objective Assessment does Section 1
cover?
Answer: Approximately 30%.
◉ What are the three types of AI mentioned?
Answer: Narrow AI, General AI, and Generative AI.
◉ What is an example of Narrow AI?
Answer: Siri or Netflix recommendations.
◉ What is Generative AI?
Answer: AI that creates new content based on patterns in training
data, like ChatGPT.
◉ What is Supervised Learning?
Answer: A machine learning model that trains on labeled data with
known outcomes.
,◉ What is Unsupervised Learning?
Answer: A machine learning model that finds patterns in unlabeled
data independently.
◉ What is Reinforcement Learning?
Answer: An AI learning method where an agent learns through trial
and error, earning rewards or penalties.
◉ What are Neural Networks?
Answer: Computational models inspired by the human brain that
process data to recognize patterns.
◉ What is Deep Learning?
Answer: A subset of machine learning that uses multi-layer neural
networks for tasks like image recognition.
◉ What are Large Language Models (LLMs)?
Answer: AI trained on massive text datasets to understand and
generate human language.
◉ What does Natural Language Processing (NLP) enable?
Answer: Computers to understand, interpret, and generate human
language.
, ◉ What is the role of Training Data in machine learning?
Answer: It is the dataset used to teach a model, impacting its
performance.
◉ What are Tokens in the context of LLMs?
Answer: The fundamental units text is broken into for processing,
roughly 1 token ≈ 4 characters.
◉ What does Temperature control in AI outputs?
Answer: It controls creativity and randomness; low values yield
focused outputs, high values yield creative ones.
◉ What is a Context Window?
Answer: The maximum amount of text an AI can process at once;
content beyond this limit is forgotten.
◉ What are the capabilities of AI?
Answer: Pattern recognition, natural language understanding,
computer vision, real-time data processing, and content creation.
◉ What are some limitations of AI?
