WGU D685 PRACTICAL APPLICATIONS OF
PROMPT ACTUAL TEST PAPER COMPLETE
QUESTIONS AND ANSWERS FULL
SOLUTION
●● 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?
Answer: Lacks true intelligence, limited by training data quality, cannot
experience emotions, and may generate false information.
PROMPT ACTUAL TEST PAPER COMPLETE
QUESTIONS AND ANSWERS FULL
SOLUTION
●● 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?
Answer: Lacks true intelligence, limited by training data quality, cannot
experience emotions, and may generate false information.
