WGU D685 Practical Applications of
Prompt Engineering real exam 2026
latest!!!
Comprehensive Practice Exam
Total Questions: 75
Part 1: AI Fundamentals and Core Concepts
1. What is the primary role of machine learning in artificial intelligence?
A. To store data more efficiently
B. To enable computers to learn from data and make predictions
C. To generate new hardware configurations
D. To replace all traditional software
Correct Answer: B
2. Which of the following best defines an AI model?
A. A framework for storing large datasets
B. A graphical interface for user interaction
C. A program that makes predictions or decisions based on input data
D. A device for accelerating computation
Correct Answer: C
3. What is an AI hallucination?
A. An AI system refusing to make predictions on unfamiliar input
B. A language model generating plausible but false or misleading information
C. An error in converting training data into structured output
D. A model failing to retrieve relevant knowledge from its database
Correct Answer: B
4. What is the key feature of supervised learning?
A. It learns from feedback using rewards or penalties
B. It finds patterns in unlabeled data
,C. It uses labeled data for training
D. It randomly generates outputs
Correct Answer: C
5. How does unsupervised learning differ from supervised learning?
A. It requires external feedback
B. It only processes audio data
C. It finds patterns in data without labeled outputs
D. It deletes irrelevant features
Correct Answer: C
6. What distinguishes reinforcement learning from other types of machine
learning?
A. It uses only supervised data
B. It operates without any feedback mechanism
C. It learns through interaction with an environment via rewards or penalties
D. It processes data in batches only
Correct Answer: C
7. Which statement best describes a neural network?
A. A collection of statistical graphs
B. A simulation of biological neurons used to recognize patterns
C. A cloud-based file storage system
D. A CPU-based operating system interface
Correct Answer: B
8. What is "narrow AI"?
A. A hypothetical future AI system with human-level intelligence
B. AI designed and trained for a specific task or narrow set of tasks
C. An AI system that can create new content
D. A type of machine learning model trained on massive text data
Correct Answer: B
9. What is the field of AI concentrated on enabling computers to understand and
engage with human language?
A. Computer vision
B. Robotics
C. Natural language processing (NLP)
D. Statistical analysis
Correct Answer: C
, 10. What is the primary advantage of using generative AI for data sorting?
A. It eliminates the need for database schemas
B. It simplifies hardware configurations for data centers
C. It can infer, organize, and optimize data beyond static rule-based methods
D. It prevents all forms of data loss
Correct Answer: C
Part 2: Prompt Components and Engineering Techniques
11. A person wants to use an AI-based search tool to help them find information
about homesteading. What is the risk of writing a poor prompt?
A. Greater data usage
B. Opinion-based information
C. Imprecise results
D. Outdated results
Correct Answer: C
12. What is the component of a prompt that includes background knowledge and
relevant facts that contextualize a user's query about a career change?
A. Input content
B. Context
C. Output format
D. Persona
Correct Answer: B
13. Which advantage results from detailed prompt descriptions?
A. Facilitation of more accurate responses
B. Wider range of response generation
C. Greater level of generative creativity
D. Better use of computing resources
Correct Answer: A
14. A person wants an AI chatbot to write about a math topic. One part of the
prompt is "in the form of song lyrics." What is the key prompt component
demonstrated?
A. Output format
B. Persona
C. Instructions
D. Context
Correct Answer: A
Prompt Engineering real exam 2026
latest!!!
Comprehensive Practice Exam
Total Questions: 75
Part 1: AI Fundamentals and Core Concepts
1. What is the primary role of machine learning in artificial intelligence?
A. To store data more efficiently
B. To enable computers to learn from data and make predictions
C. To generate new hardware configurations
D. To replace all traditional software
Correct Answer: B
2. Which of the following best defines an AI model?
A. A framework for storing large datasets
B. A graphical interface for user interaction
C. A program that makes predictions or decisions based on input data
D. A device for accelerating computation
Correct Answer: C
3. What is an AI hallucination?
A. An AI system refusing to make predictions on unfamiliar input
B. A language model generating plausible but false or misleading information
C. An error in converting training data into structured output
D. A model failing to retrieve relevant knowledge from its database
Correct Answer: B
4. What is the key feature of supervised learning?
A. It learns from feedback using rewards or penalties
B. It finds patterns in unlabeled data
,C. It uses labeled data for training
D. It randomly generates outputs
Correct Answer: C
5. How does unsupervised learning differ from supervised learning?
A. It requires external feedback
B. It only processes audio data
C. It finds patterns in data without labeled outputs
D. It deletes irrelevant features
Correct Answer: C
6. What distinguishes reinforcement learning from other types of machine
learning?
A. It uses only supervised data
B. It operates without any feedback mechanism
C. It learns through interaction with an environment via rewards or penalties
D. It processes data in batches only
Correct Answer: C
7. Which statement best describes a neural network?
A. A collection of statistical graphs
B. A simulation of biological neurons used to recognize patterns
C. A cloud-based file storage system
D. A CPU-based operating system interface
Correct Answer: B
8. What is "narrow AI"?
A. A hypothetical future AI system with human-level intelligence
B. AI designed and trained for a specific task or narrow set of tasks
C. An AI system that can create new content
D. A type of machine learning model trained on massive text data
Correct Answer: B
9. What is the field of AI concentrated on enabling computers to understand and
engage with human language?
A. Computer vision
B. Robotics
C. Natural language processing (NLP)
D. Statistical analysis
Correct Answer: C
, 10. What is the primary advantage of using generative AI for data sorting?
A. It eliminates the need for database schemas
B. It simplifies hardware configurations for data centers
C. It can infer, organize, and optimize data beyond static rule-based methods
D. It prevents all forms of data loss
Correct Answer: C
Part 2: Prompt Components and Engineering Techniques
11. A person wants to use an AI-based search tool to help them find information
about homesteading. What is the risk of writing a poor prompt?
A. Greater data usage
B. Opinion-based information
C. Imprecise results
D. Outdated results
Correct Answer: C
12. What is the component of a prompt that includes background knowledge and
relevant facts that contextualize a user's query about a career change?
A. Input content
B. Context
C. Output format
D. Persona
Correct Answer: B
13. Which advantage results from detailed prompt descriptions?
A. Facilitation of more accurate responses
B. Wider range of response generation
C. Greater level of generative creativity
D. Better use of computing resources
Correct Answer: A
14. A person wants an AI chatbot to write about a math topic. One part of the
prompt is "in the form of song lyrics." What is the key prompt component
demonstrated?
A. Output format
B. Persona
C. Instructions
D. Context
Correct Answer: A
