Prompt Engineering Techniques (Conceptual & Applied) | 100+ MCQs with Answer
Q1. What is prompt engineering primarily concerned with?
A. Training new AI models
B. Designing effective inputs to guide AI outputs
C. Reducing hardware costs
D. Improving network latency
✅ Answer: B. Designing effective inputs to guide AI outputs
Q2. Which factor most directly influences the quality of an LLM’s response?
A. Internet speed
B. Prompt clarity
C. GPU clock speed
D. Dataset size used during training
✅ Answer: B. Prompt clarity
Q3. What is zero-shot prompting?
A. Providing multiple examples
B. Providing no examples and only instructions
C. Training the model again
D. Fine-tuning with labels
✅ Answer: B. Providing no examples and only instructions
Q4. Few-shot prompting mainly helps by:
A. Increasing model size
B. Showing the model example patterns
C. Reducing inference time
D. Eliminating hallucinations
✅ Answer: B. Showing the model example patterns
Q5. Which prompting technique improves logical reasoning by revealing steps?
A. Role prompting
B. Instruction prompting
C. Chain-of-thought prompting
D. Context truncation
✅ Answer: C. Chain-of-thought prompting
Q6. In role-based prompting, the prompt primarily defines:
A. Token limits
B. AI’s assumed persona
C. Model architecture
D. Temperature value
✅ Answer: B. AI’s assumed persona
Q7. Which parameter controls randomness in LLM outputs?
A. Context window
B. Temperature
C. Latency
D. Prompt length
✅ Answer: B. Temperature
Q8. What is the main risk of vague prompts?
A. Higher API cost
B. Ambiguous or irrelevant outputs
C. Model crashes
D. Slower response time
✅ Answer: B. Ambiguous or irrelevant outputs
Q9. Which prompt technique is best for structured outputs like JSON?
A. Open-ended prompting
B. Format-constrained prompting
C. Zero-shot prompting
D. Exploratory prompting
✅ Answer: B. Format-constrained prompting
Q10. Prompt chaining refers to:
A. Combining datasets
B. Using outputs of one prompt as input to another
C. Training multiple models
D. Compressing prompts
✅ Answer: B. Using outputs of one prompt as input to another
Q11. What is context injection?
A. Adding irrelevant data
B. Supplying background information within the prompt
C. Increasing token count unnecessarily
D. Model fine-tuning
✅ Answer: B. Supplying background information within the prompt
Q12. Which technique reduces hallucinations most effectively?
A. Open creativity prompts
B. Explicit constraints and sources
C. High temperature
D. Short prompts
✅ Answer: B. Explicit constraints and sources
Q13. Instruction hierarchy in prompts means:
A. Repeating instructions
B. Prioritizing system > developer > user instructions
C. Increasing prompt length
D. Removing ambiguity
✅ Answer: B. Prioritizing system > developer > user instructions
Q14. What is self-consistency prompting used for?
A. Speed optimization
B. Generating multiple reasoning paths and selecting the best
C. Limiting output tokens
D. Enforcing format
✅ Answer: B. Generating multiple reasoning paths and selecting the best
Q15. Which prompt is best for creativity?
A. Highly constrained
B. Low-temperature
C. Open-ended with high temperature
D. Rule-heavy
✅ Answer: C. Open-ended with high temperature
Q16. What does “prompt compression” aim to achieve?
A. Higher creativity
B. Reduced token usage with retained meaning
C. More hallucinations
D. Longer responses
✅ Answer: B. Reduced token usage with retained meaning
Q17. Which business function benefits MOST from prompt engineering?
A. Manufacturing
B. Knowledge work and decision support
C. Logistics routing
D. Hardware design
✅ Answer: B. Knowledge work and decision support
Q18. What is a system prompt mainly used for?
A. User interaction
B. Defining global AI behavior
C. Debugging outputs
D. Training models
✅ Answer: B. Defining global AI behavior
Q19. What happens if constraints are missing in prompts?
A. Faster execution
B. Higher cost savings
C. Unpredictable outputs
D. Guaranteed accuracy
✅ Answer: C. Unpredictable outputs
Q20. Which prompting style is best for exam-oriented answers?
A. Creative storytelling
B. Step-by-step reasoning
C. Conversational prompting
D. Emotional prompting
✅ Answer: B. Step-by-step reasoning
Q21. What is prompt injection?
A. Improving prompt clarity
B. Manipulating a model by inserting malicious instructions
C. Increasing token limits
D. Compressing prompts
✅ Answer: B. Manipulating a model by inserting malicious instructions
Q22. Which technique helps protect against prompt injection attacks?
A. Increasing temperature
B. Strict instruction separation
C. Open-ended prompting
D. Few-shot prompting
✅ Answer: B. Strict instruction separation
Q23. Retrieval-Augmented Generation (RAG) primarily enhances prompts by:
A. Increasing creativity
B. Adding external verified knowledge
C. Reducing model size
D. Eliminating prompts
✅ Answer: B. Adding external verified knowledge
Q24. In RAG-based prompting, the external data source is typically:
A. User memory
B. Vector databases
C. Model weights
D. System cache
✅ Answer: B. Vector databases
Q25. Which prompting technique is best for compliance-heavy industries?
A. Creative prompting
B. Constraint-based prompting
C. High-temperature prompting
D. Exploratory prompting
✅ Answer: B. Constraint-based prompting
Q26. What is evaluative prompting used for?
A. Generating content
B. Scoring or judging model outputs
C. Increasing creativity
D. Model fine-tuning
✅ Answer: B. Scoring or judging model outputs
Q27. Critique-and-refine prompting involves:
A. One-shot responses
B. Iterative improvement of outputs
C. Dataset labeling
D. Token truncation
✅ Answer: B. Iterative improvement of outputs
Q28. What is the primary benefit of agentic prompting?
A. Reduced compute cost
B. Autonomous multi-step task execution
C. Faster inference
D. Smaller prompts
✅ Answer: B. Autonomous multi-step task execution
Q29. Which prompt element defines what the output should NOT contain?
A. Context
B. Constraints
C. Role
D. Examples
✅ Answer: B. Constraints
Q30. What is a hallucination in LLM outputs?
A. Creative storytelling
B. Factually incorrect or fabricated information
C. Long responses
D. Slow inference
✅ Answer: B. Factually incorrect or fabricated information
Q31. Which prompting method best supports deterministic outputs?
A. High-temperature prompts
B. Low-temperature prompts
C. Open-ended prompts
D. Exploratory prompts
✅ Answer: B. Low-temperature prompts
Q32. Why is prompt versioning important in enterprises?
A. To reduce creativity
B. To track performance changes over time
C. To train models
D. To reduce latency
✅ Answer: B. To track performance changes over time
Q33. What is multimodal prompting?
A. Text-only prompts
B. Prompts using text, images, audio, or video
C. Database queries
D. API calls
✅ Answer: B. Prompts using text, images, audio, or video
Q34. Which business function benefits MOST from multimodal prompting?
A. Accounting
B. Customer support and design
C. Payroll
D. Inventory management
✅ Answer: B. Customer support and design
Q35. What is a prompt template?
A. Model architecture
B. Reusable structured prompt format
C. Training dataset
D. API endpoint
✅ Answer: B. Reusable structured prompt format
Q36. Why are prompt templates useful at scale?
A. They increase hallucinations
B. They ensure consistency and efficiency
C. They remove creativity
D. They reduce model accuracy
✅ Answer: B. They ensure consistency and efficiency
Q37. Which metric best evaluates prompt effectiveness?
A. GPU utilization
B. Output relevance and accuracy
C. Internet speed
D. Token count alone
✅ Answer: B. Output relevance and accuracy
Q38. What does prompt latency primarily depend on?
A. Prompt clarity
B. Model size and token count
C. Creativity level
D. Role definition
✅ Answer: B. Model size and token count
Q39. What is instruction overloading?
A. Clear prompts
B. Too many conflicting instructions
C. High temperature
D. Short prompts
✅ Answer: B. Too many conflicting instructions
Q40. Which prompting style supports explainability?
A. Black-box prompting
B. Chain-of-thought prompting
C. Random prompting
D. Creative prompting
✅ Answer: B. Chain-of-thought prompting
Q41. Why is prompt engineering considered a managerial skill?
A. It replaces coding
B. It aligns AI output with business objectives
C. It reduces IT budgets
D. It improves hardware efficiency
✅ Answer: B. It aligns AI output with business objectives
Q42. What is the primary goal of prompt governance?
A. Creativity enhancement
B. Risk, compliance, and quality control
C. Speed optimization
D. Token reduction
✅ Answer: B. Risk, compliance, and quality control
Q43. Which role is most likely to own prompts in an enterprise?
A. Hardware engineer
B. Product manager
C. Network administrator
D. Data center operator
✅ Answer: B. Product manager
Q44. What is meta-prompting?
A. Prompts about AI ethics
B. Prompts that generate or improve other prompts
C. Prompts with images
D. Prompts with code
✅ Answer: B. Prompts that generate or improve other prompts
Q45. Why is context window size important?
A. It affects training speed
B. It limits how much information a model can consider
C. It controls creativity
D. It improves hardware utilization
✅ Answer: B. It limits how much information a model can consider
Q46. Which prompting approach is best for policy interpretation?
A. Creative storytelling
B. Rule-based structured prompting
C. High-temperature prompting
D. Conversational prompting
✅ Answer: B. Rule-based structured prompting
Q47. What is output grounding?
A. Increasing creativity
B. Linking responses to verified sources
C. Speed optimization
D. Prompt compression
✅ Answer: B. Linking responses to verified sources
Q48. Which prompting method improves decision-making accuracy?
A. Emotional prompting
B. Comparative prompting
C. Open-ended prompting
D. Random prompting
✅ Answer: B. Comparative prompting
Q49. Why are examples powerful in prompts?
A. They increase token usage
B. They demonstrate desired patterns
C. They slow inference
D. They remove ambiguity entirely
✅ Answer: B. They demonstrate desired patterns
Q50. What is negative prompting?
A. Discouraging AI use
B. Explicitly stating what the model should avoid
C. Removing instructions
D. Reducing temperature
✅ Answer: B. Explicitly stating what the model should avoid
Q51. What is the primary trade-off in long prompts?
A. Accuracy vs speed
B. Creativity vs cost
C. Context richness vs latency/cost
D. Security vs usability
✅ Answer: C. Context richness vs latency/cost
Q52. Which prompt is best for summarization tasks?
A. Exploratory prompts
B. Instruction-based prompts
C. Creative prompts
D. Role-play prompts
✅ Answer: B. Instruction-based prompts
Q53. What does “prompt drift” refer to?
A. Model retraining
B. Gradual decline in output quality due to changing inputs
C. Faster responses
D. Improved accuracy
✅ Answer: B. Gradual decline in output quality due to changing inputs
Q54. Why should prompts be tested across scenarios?
A. To reduce creativity
B. To ensure robustness and reliability
C. To increase cost
D. To retrain models
✅ Answer: B. To ensure robustness and reliability
Q55. What is the primary ethical risk in prompt engineering?
A. Over-optimization
B. Bias amplification
C. Token overflow
D. Latency
✅ Answer: B. Bias amplification
Q56. Which prompt technique helps reduce bias?
A. Explicit neutrality instructions
B. High-temperature prompts
C. Creative prompts
D. Random sampling
✅ Answer: A. Explicit neutrality instructions
Q57. Why is prompt logging important?
A. For creativity
B. For auditability and improvement
C. For reducing tokens
D. For training models
✅ Answer: B. For auditability and improvement
Q58. Which prompting approach supports scalability?
A. Ad-hoc prompting
B. Template-driven prompting
C. Random prompting
D. Exploratory prompting
✅ Answer: B. Template-driven prompting
Q59. What is the main advantage of modular prompts?
A. Increased creativity
B. Reusability and flexibility
C. Longer outputs
D. Higher randomness
✅ Answer: B. Reusability and flexibility
Q60. Which prompt type is best for analytical problem-solving?
A. Emotional prompts
B. Step-by-step reasoning prompts
C. Storytelling prompts
D. Conversational prompts
✅ Answer: B. Step-by-step reasoning prompts
Q61. Why is prompt engineering critical for LLM-based products?
A. It replaces UI design
B. It directly impacts user experience and outcomes
C. It reduces cloud costs
D. It eliminates testing
✅ Answer: B. It directly impacts user experience and outcomes
Q62. What is a guardrail in prompting?
A. Creativity enhancer
B. Safety and compliance constraint
C. Performance metric
D. Token optimizer
✅ Answer: B. Safety and compliance constraint
Q63. Which prompting technique supports continuous improvement?
A. One-shot prompting
B. Feedback-loop prompting
C. Random prompting
D. Static prompting
✅ Answer: B. Feedback-loop prompting
Q64. What is the main purpose of instruction rephrasing?
A. Increase verbosity
B. Improve clarity and alignment
C. Increase temperature
D. Reduce context
✅ Answer: B. Improve clarity and alignment
Q65. Which prompting method best supports executive summaries?
A. Exploratory prompts
B. Concise instruction prompts
C. Creative prompts
D. Emotional prompts
✅ Answer: B. Concise instruction prompts
Q66. Why should prompts align with business KPIs?
A. To reduce hallucinations
B. To ensure measurable value creation
C. To increase token usage
D. To improve hardware efficiency
✅ Answer: B. To ensure measurable value creation
Q67. What is prompt observability?
A. Hidden prompts
B. Monitoring prompt performance and outcomes
C. Model retraining
D. Token reduction
✅ Answer: B. Monitoring prompt performance and outcomes
Q68. Which prompting approach is best for compliance reports?
A. Creative prompts
B. Structured, rule-based prompts
C. Conversational prompts
D. High-temperature prompts
✅ Answer: B. Structured, rule-based prompts
Q69. Why is prompt testing different from software testing?
A. Prompts are deterministic
B. AI outputs are probabilistic
C. Prompts never change
D. Testing is unnecessary
✅ Answer: B. AI outputs are probabilistic
Q70. What is the biggest limitation of prompt engineering?
A. Cost
B. It cannot fully override model limitations
C. Time
D. Lack of tools
✅ Answer: B. It cannot fully override model limitations
Q71. What is hybrid prompting?
A. Using one prompt
B. Combining multiple prompting techniques
C. Removing context
D. High randomness
✅ Answer: B. Combining multiple prompting techniques
Q72. Why are prompts considered intellectual assets?
A. They train models
B. They encode domain knowledge and strategy
C. They reduce compute
D. They improve hardware
✅ Answer: B. They encode domain knowledge and strategy
Q73. Which prompting approach best supports personalization?
A. Static prompts
B. Dynamic context-aware prompts
C. Random prompts
D. Short prompts
✅ Answer: B. Dynamic context-aware prompts
Q74. What is prompt decay?
A. Improved performance
B. Reduced effectiveness over time due to changing context
C. Faster inference
D. Higher creativity
✅ Answer: B. Reduced effectiveness over time due to changing context
Q75. Why should prompts be documented?
A. For creativity
B. For governance, reuse, and training teams
C. For increasing length
D. For reducing temperature
✅ Answer: B. For governance, reuse, and training teams
Q76. Which prompting method supports scenario analysis?
A. Comparative prompting
B. Emotional prompting
C. Random prompting
D. Short prompting
✅ Answer: A. Comparative prompting
Q77. What is the role of prompts in AI ethics?
A. None
B. Enforcing fairness, transparency, and safety
C. Increasing creativity
D. Reducing latency
✅ Answer: B. Enforcing fairness, transparency, and safety
Q78. Which business outcome is MOST impacted by poor prompts?
A. Hardware costs
B. Decision quality
C. Network speed
D. Storage capacity
✅ Answer: B. Decision quality
Q79. Why is prompt engineering iterative?
A. Models change behavior
B. Optimal outputs require refinement
C. Tokens are limited
D. Hardware is slow
✅ Answer: B. Optimal outputs require refinement
Q80. What is context prioritization?
A. Removing instructions
B. Ordering information by importance
C. Increasing randomness
D. Compressing prompts
✅ Answer: B. Ordering information by importance
Q81. Which prompt improves strategic thinking?
A. Yes/no prompts
B. Why–what–how prompts
C. Random prompts
D. Emotional prompts
✅ Answer: B. Why–what–how prompts
Q82. What is the primary goal of enterprise prompt libraries?
A. Increase creativity
B. Standardization and reuse
C. Token reduction
D. Model training
✅ Answer: B. Standardization and reuse
Q83. Why is prompt review necessary?
A. For aesthetics
B. For accuracy, bias, and compliance checks
C. For creativity
D. For speed
✅ Answer: B. For accuracy, bias, and compliance checks
Q84. Which prompt style is best for negotiation simulations?
A. Role-play prompting
B. Constraint prompting
C. Static prompting
D. Random prompting
✅ Answer: A. Role-play prompting
Q85. What does “prompt leakage” mean?
A. Data compression
B. Exposure of system or hidden prompts
C. Token overflow
D. Model retraining
✅ Answer: B. Exposure of system or hidden prompts
Q86. Which technique reduces prompt leakage risk?
A. Hidden system instructions
B. Open prompts
C. High temperature
D. Long prompts
✅ Answer: A. Hidden system instructions
Q87. What is the role of prompts in agentic workflows?
A. None
B. Orchestrating decisions and actions
C. Training models
D. Reducing latency
✅ Answer: B. Orchestrating decisions and actions
Q88. Which prompt approach best supports cross-functional teams?
A. Technical-only prompts
B. Business-friendly structured prompts
C. Random prompts
D. Emotional prompts
✅ Answer: B. Business-friendly structured prompts
Q89. Why is prompt clarity critical in decision support systems?
A. To increase creativity
B. To avoid misleading recommendations
C. To reduce cost
D. To speed up inference
✅ Answer: B. To avoid misleading recommendations
Q90. Which prompt type best supports learning and training use cases?
A. Didactic step-by-step prompts
B. Random prompts
C. Creative prompts
D. Short prompts
✅ Answer: A. Didactic step-by-step prompts
Q91. What is prompt resilience?
A. Creativity
B. Consistent performance across variations
C. Speed
D. Length
✅ Answer: B. Consistent performance across variations
Q92. Which factor MOST affects prompt scalability?
A. Creativity
B. Standardization
C. Temperature
D. Output length
✅ Answer: B. Standardization
Q93. What is the main benefit of prompt analytics?
A. Hardware optimization
B. Insight into effectiveness and ROI
C. Model training
D. Token reduction
✅ Answer: B. Insight into effectiveness and ROI
Q94. Why are prompts considered part of AI strategy?
A. They control hardware
B. They shape AI-driven outcomes
C. They reduce cloud costs
D. They improve networking
✅ Answer: B. They shape AI-driven outcomes
Q95. Which prompt technique best supports benchmarking?
A. Fixed standardized prompts
B. Creative prompts
C. Random prompts
D. Exploratory prompts
✅ Answer: A. Fixed standardized prompts
Q96. What is the relationship between prompt engineering and UX?
A. None
B. Prompts directly influence user-perceived quality
C. Prompts replace UI
D. Prompts reduce UI costs
✅ Answer: B. Prompts directly influence user-perceived quality
Q97. Why is prompt ethics training important for managers?
A. To code better
B. To prevent misuse and harm
C. To increase creativity
D. To reduce costs
✅ Answer: B. To prevent misuse and harm
Q98. Which prompt approach best supports forecasting?
A. Historical comparison prompts
B. Emotional prompts
C. Random prompts
D. Short prompts
✅ Answer: A. Historical comparison prompts
Q99. What distinguishes advanced prompt engineers?
A. Coding skills
B. Ability to align prompts with strategy
C. Hardware knowledge
D. Dataset ownership
✅ Answer: B. Ability to align prompts with strategy
Q100. What is the ultimate objective of prompt engineering?
A. Maximizing token usage
B. Aligning AI outputs with human intent and business value
C. Replacing humans
D. Training new models
✅ Answer: B. Aligning AI outputs with human intent and business value
Q101. What is prompt alignment in an enterprise context?
A. Matching prompts with hardware capacity
B. Ensuring prompts support organizational goals and policies
C. Increasing creativity
D. Reducing token usage
✅ Answer: B. Ensuring prompts support organizational goals and policies
Q102. Which prompting approach best supports risk-sensitive decision making?
A. Creative prompting
B. Conservative, constraint-heavy prompting
C. Random prompting
D. High-temperature prompting
✅ Answer: B. Conservative, constraint-heavy prompting
Q103. What is the primary value of scenario-based prompting?
A. Faster inference
B. Exploring alternative futures and outcomes
C. Reducing prompt length
D. Eliminating bias
✅ Answer: B. Exploring alternative futures and outcomes
Q104. Which prompt technique is MOST useful for strategic planning exercises?
A. Yes/No prompting
B. Multi-step reasoning prompting
C. Random prompting
D. Short-form prompting
✅ Answer: B. Multi-step reasoning prompting
Q105. Why is prompt engineering critical in AI-driven automation?
A. It increases creativity
B. It controls task execution accuracy and reliability
C. It reduces cloud cost
D. It eliminates human oversight
✅ Answer: B. It controls task execution accuracy and reliability
Q106. What does “prompt maturity” indicate in an organization?
A. Age of prompts
B. Level of standardization, governance, and optimization
C. Number of prompts used
D. Length of prompts
✅ Answer: B. Level of standardization, governance, and optimization
Q107. Which factor MOST influences trust in AI outputs?
A. Response length
B. Transparent and well-designed prompts
C. High temperature
D. Creative language
✅ Answer: B. Transparent and well-designed prompts
Q108. What is the main advantage of cross-validated prompts?
A. Higher creativity
B. Improved reliability across use cases
C. Reduced prompt length
D. Faster inference
✅ Answer: B. Improved reliability across use cases
Q109. Which prompting approach is best for executive decision dashboards?
A. Narrative storytelling prompts
B. Structured, concise insight prompts
C. Random prompts
D. Exploratory prompts
✅ Answer: B. Structured, concise insight prompts
Q110. From an MBA perspective, prompt engineering is BEST viewed as:
A. A purely technical activity
B. A strategic capability enabling competitive advantage
C. A temporary trend
D. A replacement for analytics
✅ Answer: B. A strategic capability enabling competitive advantage
Prompt Engineering MCQs, Prompt Engineering Techniques, MBA AI MCQs, Generative AI Exam Questions, LLM Prompting MCQs, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought MCQs, AI Prompt Design Questions
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