AIF-C01 Applications of Foundation Models Practice Question
A developer is using Amazon Bedrock to generate text summaries. The output sometimes includes irrelevant information. What is the most effective prompt engineering technique to improve relevance?
⚠ Common exam trap
AWS often tests the misconception that adjusting generation parameters (like temperature or token limits) can substitute for explicit prompt structure, when in fact few-shot examples directly teach the model the expected output format and content relevance.
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
✓
Use few-shot examples with summaries
Few-shot examples provide the model with explicit patterns of desired output, directly guiding it to produce summaries that match the format and content of the examples. This technique is the most effective for improving relevance because it gives the model concrete reference points, reducing the likelihood of including irrelevant information.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add a negative prompt specifying what to avoid
Why it's wrong here
Negative prompts can reduce irrelevant content but are not as effective as few-shot for relevance.
- ✓
Use few-shot examples with summaries
Why this is correct
Few-shot examples show the model desired output patterns, improving relevance.
- ✗
Increase max tokens
Why it's wrong here
Max tokens control length, not relevance.
- ✗
Decrease temperature
Why it's wrong here
Temperature controls randomness, not relevance.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.