WGU D685 OA FINAL EXAM / APPROVED WGU D685 PRACTICAL
APPLICATIONS OF PROMPT ENGINEERING OBJECTIVE ASSESSMENT
FINAL EXAM ACTUAL 2026 /2027 PRACTICE QUESTIONS AND STUDY
GUIDE COMPLETE ACCURATE EXAM REAL QUESTIONS AND CORRECT
VERIFIED ANSWERS
Question 1. Which statement best defines artificial intelligence (AI)?
A) Computer systems designed to perform tasks that normally require human-like cognitive capabilities
B) A program that can operate only by following a fixed printed checklist
C) A network used only for internet access
D) A database that stores only numerical records
Correct Answer: A) Computer systems designed to perform tasks that normally require human-like
cognitive capabilities
Rationale: AI refers broadly to systems designed to perform tasks associated with capabilities such
as learning, pattern recognition, reasoning, prediction, or language processing.
Question 2. Which description best fits narrow AI?
A) A machine with verified human-level general intelligence
B) An AI system designed for a limited task or domain
C) A system that has consciousness and independent human experience
D) A system that can perform every intellectual task a human can perform
Correct Answer: B) An AI system designed for a limited task or domain
Rationale: Narrow AI is designed for specific tasks or domains rather than unrestricted human-level
intelligence.
Question 3. What is a defining feature of generative AI?
A) It produces new content from patterns learned during training
B) It only retrieves exact records from a database
C) It can operate without any learned patterns
D) It only sorts existing files alphabetically
Correct Answer: A) It produces new content from patterns learned during training
Rationale: Generative AI produces new text, images, audio, code, or other content by modeling
patterns learned from data.
Question 4. A chatbot writes a new paragraph after receiving a user instruction. Which AI capability is
being demonstrated?
, A) Database normalization
B) File compression
C) Packet routing
D) Content generation
Correct Answer: D) Content generation
Rationale: Generating a new paragraph is a generative AI task rather than a networking or storage
operation.
Question 5. Which task is most clearly a generative AI task?
A) Checking whether a password contains eight characters
B) Sorting records by date
C) Counting the rows in a spreadsheet
D) Creating a draft email from a user's instructions
Correct Answer: D) Creating a draft email from a user's instructions
Rationale: Creating a new email draft is content generation; the other tasks are deterministic data-
processing or validation tasks.
Question 6. Which statement is a realistic limitation of generative AI?
A) An AI system can produce confident output that is inaccurate
B) Generated text is always based on a live database
C) Every generated response is guaranteed to be factual
D) An AI model automatically knows the user's unstated intentions
Correct Answer: A) An AI system can produce confident output that is inaccurate
Rationale: Generative models can produce hallucinations or other errors, so outputs require
appropriate verification.
Question 7. What is a hallucination in generative AI?
A) A method for increasing token limits
B) A temporary loss of internet connectivity
C) An output that presents fabricated, incorrect, or unsupported information as if it were valid
D) A deliberate change to a model's user interface
Correct Answer: C) An output that presents fabricated, incorrect, or unsupported information as if it
were valid
Rationale: A hallucination is an incorrect or fabricated model output that can appear plausible.
Question 8. Why is human review important when using generative AI for consequential work?
A) Human review makes all model outputs deterministic
, B) AI systems never process contextual information
C) The model cannot generate any text without a human typing every word
D) The model can make errors, omit important context, or reflect limitations in its training
Correct Answer: D) The model can make errors, omit important context, or reflect limitations in its
training
Rationale: Human review helps detect errors, omissions, unsupported claims, and other risks before
consequential output is used.
Question 9. Which statement best distinguishes generative AI from a traditional classification model?
A) Classification models always require images, while generative models require audio
B) Generative AI cannot use text, while classifiers can
C) Generative AI creates content, while classification systems assign inputs to categories
D) Generative AI only stores files, while classifiers write code
Correct Answer: C) Generative AI creates content, while classification systems assign inputs to
categories
Rationale: Generation creates new content; classification predicts or assigns a category or label.
Question 10. A system labels customer messages as 'billing,' 'technical,' or 'account.' What kind of
task is this?
A) Classification
B) Image synthesis
C) Text generation
D) Audio generation
Correct Answer: A) Classification
Rationale: Assigning an input to one of predefined categories is classification.
Question 11. A system produces a new product description from a few product attributes. What is the
primary task?
A) Database indexing
B) Record deletion
C) Network authentication
D) Text generation
Correct Answer: D) Text generation
Rationale: Producing a new description is a generative language task.
Question 12. What is the main purpose of prompt engineering?
A) To design inputs that guide an AI system toward a useful, relevant output
, B) To replace the model's training data after every response
C) To eliminate the need for any human evaluation
D) To physically modify the model's hardware
Correct Answer: A) To design inputs that guide an AI system toward a useful, relevant output
Rationale: Prompt engineering focuses on designing effective instructions and context to improve
model outputs.
Question 13. Why does prompt engineering matter when a model is already trained?
A) The prompt replaces the model's parameters
B) The prompt changes the model's hardware
C) The prompt permanently retrains the model
D) The prompt provides task-specific direction and context at inference time
Correct Answer: D) The prompt provides task-specific direction and context at inference time
Rationale: Prompting steers a trained model for a particular task without requiring the model to be
retrained for every request.
Question 14. Which factor most directly affects whether an AI response addresses the user's actual
task?
A) How clearly the prompt communicates the intended task
B) The number of browser tabs open
C) The physical color of the user's computer
D) The brand of keyboard used
Correct Answer: A) How clearly the prompt communicates the intended task
Rationale: Clear task communication helps the model infer the intended output and reduces
ambiguity.
Question 15. A user asks an AI system to 'write something about marketing.' Why might the result be
inconsistent with the user's needs?
A) The model cannot process any marketing terminology
B) The request automatically disables language generation
C) The prompt is too specific
D) The request lacks sufficient specificity about the task, audience, and desired result
Correct Answer: D) The request lacks sufficient specificity about the task, audience, and desired
result
Rationale: Broad requests leave important choices unspecified, so the model must infer them.
Question 16. Which is the best example of using AI as decision support rather than autonomous
decision-making?
APPLICATIONS OF PROMPT ENGINEERING OBJECTIVE ASSESSMENT
FINAL EXAM ACTUAL 2026 /2027 PRACTICE QUESTIONS AND STUDY
GUIDE COMPLETE ACCURATE EXAM REAL QUESTIONS AND CORRECT
VERIFIED ANSWERS
Question 1. Which statement best defines artificial intelligence (AI)?
A) Computer systems designed to perform tasks that normally require human-like cognitive capabilities
B) A program that can operate only by following a fixed printed checklist
C) A network used only for internet access
D) A database that stores only numerical records
Correct Answer: A) Computer systems designed to perform tasks that normally require human-like
cognitive capabilities
Rationale: AI refers broadly to systems designed to perform tasks associated with capabilities such
as learning, pattern recognition, reasoning, prediction, or language processing.
Question 2. Which description best fits narrow AI?
A) A machine with verified human-level general intelligence
B) An AI system designed for a limited task or domain
C) A system that has consciousness and independent human experience
D) A system that can perform every intellectual task a human can perform
Correct Answer: B) An AI system designed for a limited task or domain
Rationale: Narrow AI is designed for specific tasks or domains rather than unrestricted human-level
intelligence.
Question 3. What is a defining feature of generative AI?
A) It produces new content from patterns learned during training
B) It only retrieves exact records from a database
C) It can operate without any learned patterns
D) It only sorts existing files alphabetically
Correct Answer: A) It produces new content from patterns learned during training
Rationale: Generative AI produces new text, images, audio, code, or other content by modeling
patterns learned from data.
Question 4. A chatbot writes a new paragraph after receiving a user instruction. Which AI capability is
being demonstrated?
, A) Database normalization
B) File compression
C) Packet routing
D) Content generation
Correct Answer: D) Content generation
Rationale: Generating a new paragraph is a generative AI task rather than a networking or storage
operation.
Question 5. Which task is most clearly a generative AI task?
A) Checking whether a password contains eight characters
B) Sorting records by date
C) Counting the rows in a spreadsheet
D) Creating a draft email from a user's instructions
Correct Answer: D) Creating a draft email from a user's instructions
Rationale: Creating a new email draft is content generation; the other tasks are deterministic data-
processing or validation tasks.
Question 6. Which statement is a realistic limitation of generative AI?
A) An AI system can produce confident output that is inaccurate
B) Generated text is always based on a live database
C) Every generated response is guaranteed to be factual
D) An AI model automatically knows the user's unstated intentions
Correct Answer: A) An AI system can produce confident output that is inaccurate
Rationale: Generative models can produce hallucinations or other errors, so outputs require
appropriate verification.
Question 7. What is a hallucination in generative AI?
A) A method for increasing token limits
B) A temporary loss of internet connectivity
C) An output that presents fabricated, incorrect, or unsupported information as if it were valid
D) A deliberate change to a model's user interface
Correct Answer: C) An output that presents fabricated, incorrect, or unsupported information as if it
were valid
Rationale: A hallucination is an incorrect or fabricated model output that can appear plausible.
Question 8. Why is human review important when using generative AI for consequential work?
A) Human review makes all model outputs deterministic
, B) AI systems never process contextual information
C) The model cannot generate any text without a human typing every word
D) The model can make errors, omit important context, or reflect limitations in its training
Correct Answer: D) The model can make errors, omit important context, or reflect limitations in its
training
Rationale: Human review helps detect errors, omissions, unsupported claims, and other risks before
consequential output is used.
Question 9. Which statement best distinguishes generative AI from a traditional classification model?
A) Classification models always require images, while generative models require audio
B) Generative AI cannot use text, while classifiers can
C) Generative AI creates content, while classification systems assign inputs to categories
D) Generative AI only stores files, while classifiers write code
Correct Answer: C) Generative AI creates content, while classification systems assign inputs to
categories
Rationale: Generation creates new content; classification predicts or assigns a category or label.
Question 10. A system labels customer messages as 'billing,' 'technical,' or 'account.' What kind of
task is this?
A) Classification
B) Image synthesis
C) Text generation
D) Audio generation
Correct Answer: A) Classification
Rationale: Assigning an input to one of predefined categories is classification.
Question 11. A system produces a new product description from a few product attributes. What is the
primary task?
A) Database indexing
B) Record deletion
C) Network authentication
D) Text generation
Correct Answer: D) Text generation
Rationale: Producing a new description is a generative language task.
Question 12. What is the main purpose of prompt engineering?
A) To design inputs that guide an AI system toward a useful, relevant output
, B) To replace the model's training data after every response
C) To eliminate the need for any human evaluation
D) To physically modify the model's hardware
Correct Answer: A) To design inputs that guide an AI system toward a useful, relevant output
Rationale: Prompt engineering focuses on designing effective instructions and context to improve
model outputs.
Question 13. Why does prompt engineering matter when a model is already trained?
A) The prompt replaces the model's parameters
B) The prompt changes the model's hardware
C) The prompt permanently retrains the model
D) The prompt provides task-specific direction and context at inference time
Correct Answer: D) The prompt provides task-specific direction and context at inference time
Rationale: Prompting steers a trained model for a particular task without requiring the model to be
retrained for every request.
Question 14. Which factor most directly affects whether an AI response addresses the user's actual
task?
A) How clearly the prompt communicates the intended task
B) The number of browser tabs open
C) The physical color of the user's computer
D) The brand of keyboard used
Correct Answer: A) How clearly the prompt communicates the intended task
Rationale: Clear task communication helps the model infer the intended output and reduces
ambiguity.
Question 15. A user asks an AI system to 'write something about marketing.' Why might the result be
inconsistent with the user's needs?
A) The model cannot process any marketing terminology
B) The request automatically disables language generation
C) The prompt is too specific
D) The request lacks sufficient specificity about the task, audience, and desired result
Correct Answer: D) The request lacks sufficient specificity about the task, audience, and desired
result
Rationale: Broad requests leave important choices unspecified, so the model must infer them.
Question 16. Which is the best example of using AI as decision support rather than autonomous
decision-making?
