AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are creating a custom prompt template in Azure AI Foundry. You want to insert the user's input safely while preventing prompt injection vulnerabilities. How should you design the template structure?
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 explicit XML tags or markdown delimiters to separate system instructions from user inputs
Separating system instructions from user input using clear delimiters (such as markdown blockquotes or XML tags like <user_input>) helps the model distinguish instructions from data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remove all spaces and punctuation from the user input
Why it's wrong here
Stripping punctuation degrades user experience and does not prevent prompt injection.
- ✗
Concatenate user input directly into the middle of the system prompt string
Why it's wrong here
Direct concatenation allows malicious user input to easily overwrite system instructions.
- ✓
Use explicit XML tags or markdown delimiters to separate system instructions from user inputs
Why this is correct
Delimiters and XML tags clearly demarcate untrusted user input from system instructions.
- ✗
Encode all user inputs using Base64 before sending to the model
Why it's wrong here
Models cannot reliably interpret raw Base64 strings without prompt instructions to decode them, breaking natural interaction.
About these practice questions
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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.