AI-200 Containerized AI Workloads Practice Question
You are running a distributed AI training job on AKS using MPI. Which network configuration is critical for performance?
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
✓
Enable Azure Accelerated Networking on the node pool.
For distributed training, high-bandwidth/low-latency networking like InfiniBand or Azure Accelerated Networking is required.
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 an internal VNET peering.
Why it's wrong here
Peering is for connectivity, not performance optimization of the NIC.
- ✗
Enable standard load balancing.
Why it's wrong here
Standard LB adds overhead and is not optimized for MPI traffic.
- ✓
Enable Azure Accelerated Networking on the node pool.
Why this is correct
Accelerated Networking reduces latency and jitter, which is vital for MPI.
- ✗
Disable the pod network policy.
Why it's wrong here
Disabling network policy doesn't improve raw performance.
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-200 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-200 exam.