- A
Zero-shot prompting
Why wrong: Zero-shot does not provide examples.
- B
Chain-of-thought prompting
Why wrong: Chain-of-thought prompts for reasoning steps, not just examples.
- C
System prompting
Why wrong: System prompts set overall context/instructions, not task examples.
- D
Few-shot prompting
Few-shot includes a small number of examples in the prompt.
Question 170 of 1,000
AIF-C01 Generative AI and Foundation Models Practice Question
This AIF-C01 practice question tests your understanding of generative ai and foundation models. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which prompt engineering technique involves providing the model with a few examples of desired input-output pairs before asking it to complete a new instance?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Few-shot prompting
Few-shot prompting (Option D) is the correct technique because it explicitly involves providing the model with a few examples of desired input-output pairs before asking it to complete a new instance. This helps the model understand the pattern, format, or task from the examples, improving performance on tasks like classification, translation, or formatting without requiring fine-tuning.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Zero-shot prompting
Why it's wrong here
Zero-shot does not provide examples.
- ✗
Chain-of-thought prompting
Why it's wrong here
Chain-of-thought prompts for reasoning steps, not just examples.
- ✗
System prompting
Why it's wrong here
System prompts set overall context/instructions, not task examples.
- ✓
Few-shot prompting
Why this is correct
Few-shot includes a small number of examples in the prompt.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
AWS often tests the distinction between zero-shot and few-shot prompting, where candidates may confuse 'providing examples' with 'setting system instructions' or 'step-by-step reasoning', leading them to incorrectly select chain-of-thought or system prompting.
Detailed technical explanation
How to think about this question
Few-shot prompting leverages in-context learning, where the model uses the provided examples to infer the task distribution without gradient updates. The number of examples (k) can significantly impact performance; too few may not capture the pattern, while too many may exceed the model's context window (e.g., 4k or 8k tokens for many LLMs). In real-world scenarios, few-shot prompting is often used for data labeling, entity extraction, or custom formatting tasks where labeled data is scarce.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Generative AI and Foundation Models — This question tests Generative AI and Foundation Models — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Few-shot prompting — Few-shot prompting (Option D) is the correct technique because it explicitly involves providing the model with a few examples of desired input-output pairs before asking it to complete a new instance. This helps the model understand the pattern, format, or task from the examples, improving performance on tasks like classification, translation, or formatting without requiring fine-tuning.
What should I do if I get this AIF-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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