WGU D685 - Practical Applications of
Prompt (art and science of prompt
engineering) 250+ Questions and Verified
Answers | 100% Correct | Grade A
(2026/2027)
This WGU D685 - Practical Applications of Prompt course focuses on the art and science
of prompt engineering to elicit specific, high-quality outputs from generative AI systems. The
course covers designing effective prompts, evaluating AI responses, and applying AI to practical,
real-world tasks while adhering to ethical guidelines.
Exam Description (Objective Assessment - QFO1):
• Format: The exam is an objective assessment (multiple-choice).
• Duration/Attempt: Candidates report a relatively fast turnaround for studying and
passing.
• Topics Covered:
o Generative AI Fundamentals: Understanding how AI systems create content
(text, image, audio) based on input.
o Prompt Engineering Techniques: Zero-shot, few-shot, and chain-of-thought
prompting.
o Context & Personas: Utilizing roles to improve AI accuracy.
o Evaluation Techniques: Assessing prompt efficiency and output accuracy.
o AI Ethics & Safety: Addressing bias, toxicity, data privacy, and mitigating
hallucination.
o Practical Applications: Using AI for data sorting, cleaning, and content
generation.
Core Concepts and Key Themes
• Effective Prompting: Specificity in style, tone, and constraints is crucial, especially in
image generation.
• Mitigating Hallucinations: The best strategy for reducing AI inaccuracies is
requesting sources and verifying claims.
1
, • Iterative Refinement: Prompting is rarely perfect on the first try; it requires an
iterative, step-by-step process.
• Data Quality: AI performance is reliant on the quality and lack of bias in the training
data and user input.
Quiz_________________?
The limitations of AI can be categorized into three main areas: -
Answer
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Quiz_________________?
Fundamental limitations of AI include: -
Answer
- dependence on training data
- limited common sense
- lack of emotional sense.
Quiz_________________?
Practical limitations of AI include: -
Answer
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
2
, Quiz_________________?
Societal concerns on AI include: -
Answer
- data privacy
- safety
- security concerns
Quiz_________________?
the study of creating machines and computer systems capable of performing tasks that typically
require human intelligence -
Answer
artificial intelligence (AI)
Quiz_________________?
artificial intelligence that is designed and trained for a specific task or narrow set of tasks -
Answer
narrow AI
Quiz_________________?
a hypothetical future AI system that would possess human-level intelligence -
Answer
general AI
3
, Quiz_________________?
defined methods or processes employed to train models, generate predictions, and execute
tasks using data -
Answer
algorithms
Quiz_________________?
a branch of AI that enables computers to improve their performance through experience
without needing explicit programming -
Answer
machine learning
Quiz_________________?
a computer program designed to make predictions or decisions based on input data -
Answer
AI model
Quiz_________________?
a technique where a model is trained using data that includes labeled examples, such as images
with tagged objects or text with marked entities -
Answer
supervised learning
Quiz_________________?
4
Prompt (art and science of prompt
engineering) 250+ Questions and Verified
Answers | 100% Correct | Grade A
(2026/2027)
This WGU D685 - Practical Applications of Prompt course focuses on the art and science
of prompt engineering to elicit specific, high-quality outputs from generative AI systems. The
course covers designing effective prompts, evaluating AI responses, and applying AI to practical,
real-world tasks while adhering to ethical guidelines.
Exam Description (Objective Assessment - QFO1):
• Format: The exam is an objective assessment (multiple-choice).
• Duration/Attempt: Candidates report a relatively fast turnaround for studying and
passing.
• Topics Covered:
o Generative AI Fundamentals: Understanding how AI systems create content
(text, image, audio) based on input.
o Prompt Engineering Techniques: Zero-shot, few-shot, and chain-of-thought
prompting.
o Context & Personas: Utilizing roles to improve AI accuracy.
o Evaluation Techniques: Assessing prompt efficiency and output accuracy.
o AI Ethics & Safety: Addressing bias, toxicity, data privacy, and mitigating
hallucination.
o Practical Applications: Using AI for data sorting, cleaning, and content
generation.
Core Concepts and Key Themes
• Effective Prompting: Specificity in style, tone, and constraints is crucial, especially in
image generation.
• Mitigating Hallucinations: The best strategy for reducing AI inaccuracies is
requesting sources and verifying claims.
1
, • Iterative Refinement: Prompting is rarely perfect on the first try; it requires an
iterative, step-by-step process.
• Data Quality: AI performance is reliant on the quality and lack of bias in the training
data and user input.
Quiz_________________?
The limitations of AI can be categorized into three main areas: -
Answer
- fundamental limitations of AI
- practical limitations and challenges
- societal concerns and implications.
Quiz_________________?
Fundamental limitations of AI include: -
Answer
- dependence on training data
- limited common sense
- lack of emotional sense.
Quiz_________________?
Practical limitations of AI include: -
Answer
- perpetuating bias
- lack of ethics
- understanding nuances of language and humans.
2
, Quiz_________________?
Societal concerns on AI include: -
Answer
- data privacy
- safety
- security concerns
Quiz_________________?
the study of creating machines and computer systems capable of performing tasks that typically
require human intelligence -
Answer
artificial intelligence (AI)
Quiz_________________?
artificial intelligence that is designed and trained for a specific task or narrow set of tasks -
Answer
narrow AI
Quiz_________________?
a hypothetical future AI system that would possess human-level intelligence -
Answer
general AI
3
, Quiz_________________?
defined methods or processes employed to train models, generate predictions, and execute
tasks using data -
Answer
algorithms
Quiz_________________?
a branch of AI that enables computers to improve their performance through experience
without needing explicit programming -
Answer
machine learning
Quiz_________________?
a computer program designed to make predictions or decisions based on input data -
Answer
AI model
Quiz_________________?
a technique where a model is trained using data that includes labeled examples, such as images
with tagged objects or text with marked entities -
Answer
supervised learning
Quiz_________________?
4
