AI-103 Computer Vision Practice Question
You are deploying a Custom Vision object detection model as a Docker container on an Azure Kubernetes Service (AKS) cluster. During load testing, you notice high memory consumption and container restarts. Which configuration setting in the deployment manifest should you review to ensure stability?
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
✓
Kubernetes resource requests and limits for memory and CPU.
Custom Vision container deployments require proper CPU and memory limits/requests configured in the Kubernetes pod spec to prevent Out-Of-Memory (OOM) kills during heavy inference workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Billing endpoint URL syntax.
Why it's wrong here
Billing endpoint affects license validation, not memory usage or container restarts.
- ✗
Azure Blob Storage connection string persistence.
Why it's wrong here
Inference containers do not require blob storage connection strings for prediction.
- ✗
Custom Vision iteration publishing name environment variable.
Why it's wrong here
Publishing name dictates which model iteration loads, not container resource stability.
- ✓
Kubernetes resource requests and limits for memory and CPU.
Why this is correct
Configuring adequate memory and CPU limits prevents OOM termination and CPU throttling for vision containers.
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.