AI-102 Implement generative AI solutions Practice Question
You are using Azure OpenAI Service to summarize customer emails. The summaries must be concise and contain only key information. Which prompt engineering technique should you apply?
⚠ Common exam trap
Watch out — candidates often assume a simple instruction (zero-shot) is sufficient for summarization, underestimating how much the model relies on explicit examples to enforce output structure and conciseness, especially when the task requires domain-specific key information extraction.
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 prompting with examples of desired summaries
Few-shot prompting is the correct technique because it provides the model with explicit examples of desired input-output pairs (e.g., a verbose email and its concise summary). This guides the model to learn the exact format, tone, and level of detail required for the summaries, which is critical for consistency in a production summarization pipeline. Without examples, the model may default to its training distribution and produce overly verbose or irrelevant output.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use few-shot prompting with examples of desired summaries
Why this is correct
Few-shot examples guide the model to produce concise summaries.
- ✗
Use chain-of-thought prompting
Why it's wrong here
Chain-of-thought is for reasoning, not for summarization.
- ✗
Use zero-shot prompting with a one-sentence instruction
Why it's wrong here
Zero-shot may produce inconsistent summaries.
- ✗
Use negative prompting to avoid verbose output
Why it's wrong here
Negative prompting is less reliable than positive examples.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft 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 AI-102 exam.