WGU D685 PRACTICAL APPLICATIONS OF PROMPT
ENGINEERING
ACTUAL EXAM QUESTIONS AND ANSWERS 2026 | VERIFIED HIGH-YIELD QUESTIONS
100% PASS GUARANTEED | GRADED A+
1. Artificial intelligence (AI) is best defined as:
A. A system that replaces all human intelligence
B. Machines performing tasks requiring human-like intelligence
C. Only robots performing physical tasks
D. Software used only for data storage
Correct Answer: B
Rationale:
Artificial intelligence refers broadly to systems capable of performing tasks that typically require human
intelligence, such as reasoning, learning, and decision-making. It does not necessarily replace humans but
augments human capability through data-driven processes.
2. Which best describes narrow AI?
A. AI with human-level reasoning
B. AI designed for a specific task
C. AI capable of emotions
D. AI that replaces humans
Correct Answer: B
Rationale:
Narrow AI is designed to perform specific tasks, such as language translation or recommendation systems.
It lacks general reasoning ability and cannot operate outside its programmed domain.
3. General AI refers to:
A. AI used in hospitals
B. AI capable of human-level cognition
C. AI trained for one task
D. AI that lacks learning ability
Correct Answer: B
Rationale:
General AI is theoretical and would possess the ability to perform any intellectual task that a human can,
including reasoning, problem-solving, and learning across domains.
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,4. Machine learning is:
A. Manual programming
B. Learning without data
C. Systems improving through experience
D. Static algorithms
Correct Answer: C
Rationale:
Machine learning enables systems to learn from data and improve performance without explicit
reprogramming, making it a key subset of AI.
5. An algorithm is:
A. A random process
B. A structured method for solving problems
C. A database
D. A hardware component
Correct Answer: B
Rationale:
Algorithms are step-by-step procedures or rules used to process data and generate outputs in AI systems.
6. A key limitation of AI is:
A. Unlimited reasoning
B. Dependence on training data
C. Perfect decision-making
D. Emotional intelligence
Correct Answer: B
Rationale:
AI systems rely heavily on the quality and quantity of training data, meaning poor or biased data leads to
poor outputs.
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, 7. Which is a practical limitation of AI?
A. Infinite knowledge
B. Bias in outputs
C. Perfect ethics
D. Unlimited reasoning
Correct Answer: B
Rationale:
AI can inherit biases from training data, leading to unfair or inaccurate results in real-world applications.
8. A societal concern of AI includes:
A. Faster computing
B. Data privacy risks
C. Improved automation
D. Increased efficiency
Correct Answer: B
Rationale:
AI systems often require large datasets, raising concerns about privacy, security, and misuse of personal
data.
9. Prompt engineering is best defined as:
A. Coding AI systems
B. Designing effective inputs to guide AI outputs
C. Building hardware
D. Training robots
Correct Answer: B
Rationale:
Prompt engineering focuses on crafting inputs that lead AI systems to produce accurate, relevant, and
useful outputs.
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ENGINEERING
ACTUAL EXAM QUESTIONS AND ANSWERS 2026 | VERIFIED HIGH-YIELD QUESTIONS
100% PASS GUARANTEED | GRADED A+
1. Artificial intelligence (AI) is best defined as:
A. A system that replaces all human intelligence
B. Machines performing tasks requiring human-like intelligence
C. Only robots performing physical tasks
D. Software used only for data storage
Correct Answer: B
Rationale:
Artificial intelligence refers broadly to systems capable of performing tasks that typically require human
intelligence, such as reasoning, learning, and decision-making. It does not necessarily replace humans but
augments human capability through data-driven processes.
2. Which best describes narrow AI?
A. AI with human-level reasoning
B. AI designed for a specific task
C. AI capable of emotions
D. AI that replaces humans
Correct Answer: B
Rationale:
Narrow AI is designed to perform specific tasks, such as language translation or recommendation systems.
It lacks general reasoning ability and cannot operate outside its programmed domain.
3. General AI refers to:
A. AI used in hospitals
B. AI capable of human-level cognition
C. AI trained for one task
D. AI that lacks learning ability
Correct Answer: B
Rationale:
General AI is theoretical and would possess the ability to perform any intellectual task that a human can,
including reasoning, problem-solving, and learning across domains.
Page 1 of 27
,4. Machine learning is:
A. Manual programming
B. Learning without data
C. Systems improving through experience
D. Static algorithms
Correct Answer: C
Rationale:
Machine learning enables systems to learn from data and improve performance without explicit
reprogramming, making it a key subset of AI.
5. An algorithm is:
A. A random process
B. A structured method for solving problems
C. A database
D. A hardware component
Correct Answer: B
Rationale:
Algorithms are step-by-step procedures or rules used to process data and generate outputs in AI systems.
6. A key limitation of AI is:
A. Unlimited reasoning
B. Dependence on training data
C. Perfect decision-making
D. Emotional intelligence
Correct Answer: B
Rationale:
AI systems rely heavily on the quality and quantity of training data, meaning poor or biased data leads to
poor outputs.
Page 2 of 27
, 7. Which is a practical limitation of AI?
A. Infinite knowledge
B. Bias in outputs
C. Perfect ethics
D. Unlimited reasoning
Correct Answer: B
Rationale:
AI can inherit biases from training data, leading to unfair or inaccurate results in real-world applications.
8. A societal concern of AI includes:
A. Faster computing
B. Data privacy risks
C. Improved automation
D. Increased efficiency
Correct Answer: B
Rationale:
AI systems often require large datasets, raising concerns about privacy, security, and misuse of personal
data.
9. Prompt engineering is best defined as:
A. Coding AI systems
B. Designing effective inputs to guide AI outputs
C. Building hardware
D. Training robots
Correct Answer: B
Rationale:
Prompt engineering focuses on crafting inputs that lead AI systems to produce accurate, relevant, and
useful outputs.
Page 3 of 27
