Module 1: Introduction to Prompt Engineering
IN THIS QUIZ: Introduction topics
Questions
What is prompt engineering?
A) Designing user interfaces
B) Crafting inputs for AI models
C) Writing software code
D) Managing AI projects
Why is specificity important in prompt engineering?
A) It makes the prompt look professional.
B) It ensures the AI model understands the context and provides accurate responses.
C) It reduces the length of the prompt.
D) It increases the complexity of the prompt.
Which of the following is NOT an application of prompt engineering with Large Language Models (LLMs)??
A) AI Chatbots
B) Content Generation
C) Predictive Maintenance for Industrial Machinery
D) Virtual Assistants
What was one of the main challenges faced by the AI chatbot in the case study?
A) Lack of data
B) High operational costs
C) Understanding customer inquiries accurately
D) Poor user interface design
For a Certified Professional, which goal BEST defines the primary objective of modern prompt engineering?
A) To reduce the number of tokens used in every prompt.
B) To ensure the model can always complete the task in a single interaction.
C) To iteratively enhance LLM performance by crafting inputs that maximize relevance, accuracy, and efficiency (cost/speed).
D) To teach the AI model new facts not present in its training data.
What improvement was observed after implementing prompt engineering techniques in the case study?
A) Reduced operational costs by 50%
B) Increased chatbot accuracy by 30%
C) Decreased user engagement
D) Reduced the number of customer inquiries
Which of the following best describes the structure of the certification course in prompt engineering?
A) Combination of lectures, hands-on exercises, case studies, and a final exam
B) Only lectures and a final exam
C) Practical exercises without theoretical background
D) Group discussions and a final exam
What is one of the key elements to consider when crafting prompts for AI models?
A) The prompt’s length
B) The specificity and context provided in the prompt
C) The complexity of the AI model
D) The number of users
How does effective prompt engineering impact user satisfaction?
A) It complicates the AI model's responses.
B) It ensures relevant and useful information, enhancing user satisfaction.
C) It decreases the number of responses generated.
D) It makes the AI responses unpredictable.
What is a significant benefit of continuously testing and refining prompts?
A) Ensures the AI model remains static
B) Helps maintain and enhance chatbot performance
C) Reduces the need for AI models
D) Eliminates the need for human oversight
What is the core purpose of including the instruction "Think step-by-step" in a complex prompt?
A) To reduce the latency (speed) of the model's response.
B) To force the model to use a specific external tool or dataset (e.g., RAG).
C) To activate the model’s internal reasoning capability and improve the accuracy of logical or multi-step tasks.
D) To minimize the model's tendency to incorporate bias.
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See earlier lessons.