1. What is the primary goal of "Chain-of-Thought" (CoT) prompting in 2026 LLM
applications?
A) To reduce the token cost of the response
B) To encourage the model to show its step-by-step reasoning process
C) To make the output shorter and more concise
D) To bypass safety filters
Correct Answer: B) To encourage the model to show its step-by-step reasoning process
2. Which prompting technique involves providing the model with a few examples of
input-output pairs before the final instruction?
A) Zero-shot prompting
B) Few-shot prompting
C) System prompting
D) Negative prompting
Correct Answer: B) Few-shot prompting
3. In the context of 2027 AI models, what does "Prompt Leaking" refer to?
A) Sharing your prompts on social media
B) A vulnerability where the model reveals its internal system instructions to the user
C) The AI running out of memory during a long prompt
D) Using too many emojis in a prompt
Correct Answer: B) A vulnerability where the model reveals its internal system
instructions to the user
4. What is a "System Prompt" (or System Message)?
A) The error message shown when the server is down
B) High-level instructions that define the AI’s persona, boundaries, and tone
C) The final answer given by the AI
,D) A prompt written by the AI for another AI
Correct Answer: B) High-level instructions that define the AI’s persona, boundaries, and
tone
5. Which element is considered the most critical "Context" in a professional 2026
prompt?
A) The current weather
B) Background information or constraints relevant to the specific task
C) The font size of the prompt
D) The user's location (unless relevant to the task)
Correct Answer: B) Background information or constraints relevant to the specific task
6. What does "Temperature" control in an LLM configuration?
A) The physical heat of the server
B) The randomness and creativity of the output
C) The speed of text generation
D) The number of languages supported
Correct Answer: B) The randomness and creativity of the output
7. "Zero-shot" prompting means:
A) The model has zero chance of answering correctly
B) Asking the model to perform a task without any prior examples
C) Using a prompt with zero words
D) Training the model from scratch
Correct Answer: B) Asking the model to perform a task without any prior examples
8. What is the purpose of "Delimiters" (e.g., triple quotes, XML tags) in a prompt?
A) To make the prompt look more artistic
B) To clearly separate different sections of the prompt (instructions, data, examples)
C) To increase the token count
, D) To confuse the AI
Correct Answer: B) To clearly separate different sections of the prompt (instructions,
data, examples)
9. In 2026, "Iterative Prompting" is described as:
A) Writing one prompt and never changing it
B) The process of refining a prompt based on previous outputs to get better results
C) Copying prompts from a database
D) Letting the AI write the entire prompt
Correct Answer: B) The process of refining a prompt based on previous outputs to get
better results
10. What is "Role Prompting"?
A) Asking the AI to act as a specific persona (e.g., "Act as a Senior Data Scientist")
B) Changing the password of the AI system
C) Listing the names of the developers
D) Using the AI to find an actor for a movie
Correct Answer: A) Asking the AI to act as a specific persona (e.g., "Act as a Senior Data
Scientist")
11. Which term describes the maximum amount of text an AI can "remember" or process
in one go?
A) Memory Card
B) Context Window
C) Logic Gate
D) Data Stream
Correct Answer: B) Context Window
12. "Negative Prompting" is most commonly used in:
A) Math problems