AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are preparing a prompt template for a summarization task. You want to provide three distinct examples of input text and expected summaries before asking the model to process the target text. What is this prompting technique called?
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
Providing examples within the prompt is known as few-shot prompting. Zero-shot has no examples, and chain-of-thought involves reasoning steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Retrieval-augmented generation
Why it's wrong here
RAG involves retrieving external data sources rather than providing inline prompt examples.
- ✗
Chain-of-thought prompting
Why it's wrong here
Chain-of-thought explicitly asks the model to output intermediate reasoning steps.
- ✓
Few-shot prompting
Why this is correct
Few-shot prompting guides the model by supplying demonstrations of the desired task.
- ✗
Zero-shot prompting
Why it's wrong here
Zero-shot prompting provides instructions without any examples.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 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-103 exam.