AI-300 Genaiops Infrastructure Practice Question
You are implementing an agentic workflow using Azure AI Foundry. The agent needs to access a secure external API. How should you store the API key securely within the project?
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
✓
Store the key in an 'Azure Key Vault' and reference it as a 'Connection' in the AI Project.
Azure AI Foundry provides a 'Connections' feature that allows storing credentials as secrets, which can then be referenced by agents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pass the key as an environment variable in the deployment YAML.
Why it's wrong here
Environment variables are less secure than Key Vault-backed connections.
- ✗
Hardcode the key in the prompt template.
Why it's wrong here
This is a significant security risk and anti-pattern.
- ✗
Save the key in a local '.env' file in the code repository.
Why it's wrong here
This exposes the credential in source control.
- ✓
Store the key in an 'Azure Key Vault' and reference it as a 'Connection' in the AI Project.
Why this is correct
Using Key Vault with AI project connections is the secure, recommended practice.
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-300 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-300 exam.