AI-103 Implement Generative AI And Agentic Solutions Practice Question
Which THREE actions occur when you 'deploy' an agent from Azure AI Foundry?
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
✓
The agent's configuration is persisted as a versioned deployment.
Deployment makes the model/agent available as an endpoint, often configuring the model version and resource allocation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model is automatically retrained on new data.
Why it's wrong here
Deployment does not trigger training.
- ✓
The agent's configuration is persisted as a versioned deployment.
Why this is correct
Versioning is a core part of deployment.
- ✗
All previous chat history is deleted from the server.
Why it's wrong here
Chat history is independent of deployment state.
- ✓
An HTTP endpoint is generated for application integration.
Why this is correct
The endpoint is how applications consume the agent.
- ✓
Capacity and quota are allocated for the deployment.
Why this is correct
Deployment consumes and reserves quota.
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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.