AI-103 Practice Test 2 — 10 Questions

Question 1

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?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

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

Billing endpoint URL syntax.

Answer

Azure Blob Storage connection string persistence.

Answer

Custom Vision iteration publishing name environment variable.

Question 2

You are building a content moderation pipeline. You need to detect if user-uploaded images contain adult content, racy content, or gore using Azure AI Vision. Which feature should you include?

Accepted Answer

features=adult. The 'image-analysis' safety analysis includes detection for adult, racy, and gory content.

Answer

features=safety

Answer

features=moderation

Answer

features=image-analysis safety check

Question 3

Which HTTP status code does the Azure AI Vision Read API return upon successfully initiating an asynchronous OCR analysis job?

Accepted Answer

202 Accepted. Asynchronous operations in Azure AI Services return HTTP 202 Accepted when the request has been accepted for processing.

Answer

204 No Content

Answer

200 OK

Answer

201 Created

Question 4

You are developing a mobile application that captures business card photos and extracts contact information. Which Azure AI Vision feature is specifically designed to extract printed and handwritten text lines and words?

Accepted Answer

Read. The Read feature is Azure AI Vision's optical character recognition (OCR) tool for extracting printed and handwritten text.

Answer

Image Tagging

Answer

Dense Captions

Answer

Brand Detection

Question 5

You are using Custom Vision to train an object detection model. You want to evaluate model performance before publishing an iteration. Which metric represents the overall accuracy of the model across all classes at various confidence thresholds?

Accepted Answer

Mean Average Precision (mAP). Mean Average Precision (mAP) is the standard metric used in Custom Vision and object detection to evaluate overall model accuracy.

Answer

Perplexity

Answer

Word Error Rate (WER)

Answer

BLEU Score

Question 6

You need to programmatically delete an iteration of a Custom Vision model that performed poorly. Which API method should you invoke?

Accepted Answer

DELETE /customvision/v3.3/Training/{projectId}/iterations/{iterationId}. Deleting an iteration in Custom Vision is performed via a DELETE request on the Training API iteration endpoint.

Answer

PUT /customvision/v3.3/Training/{projectId}/iterations/{iterationId}

Answer

GET /customvision/v3.3/Training/{projectId}/iterations/{iterationId}/purge

Answer

POST /customvision/v3.3/Training/{projectId}/iterations/{iterationId}/delete

Question 7

You are using Custom Vision and want to programmatically publish a trained iteration so that prediction endpoints can use it. Which API operation should you call?

Accepted Answer

POST /customvision/v3.3/Training/{projectId}/iterations/{iterationId}/publish. Publishing an iteration in Custom Vision requires calling the publish iteration endpoint with the published name and prediction resource ID.

Answer

GET /customvision/v3.3/Training/{projectId}/iterations/{iterationId}/make-default

Answer

PUT /customvision/v3.3/Prediction/{projectId}/iterations/{iterationId}/activate

Answer

PATCH /customvision/v3.3/Training/{projectId}/projects/{projectId}

Question 8

You are examining the metadata of an image analysis result from Azure AI Vision 4.0. Which property contains the dimensions (width and height) of the analyzed image?

Accepted Answer

metadata. The image metadata object in the API response contains `width` and `height` properties representing the pixel dimensions of the submitted image.

Answer

dimensions

Answer

modelVersion

Answer

requestId

Question 9

Your application calls Azure AI Vision API and receives an HTTP 429 Too Many Requests response. What does this error signify, and how should your application handle it?

Accepted Answer

You have exceeded your pricing tier rate limits. Implement exponential backoff and retry the request.. HTTP 429 indicates rate limiting (quota exceeded). The application should implement exponential backoff and retry the request.

Answer

The service is undergoing maintenance. Fail over to a secondary region.

Answer

The image file format is unsupported. Convert to PNG.

Answer

Your API key is invalid. Refresh your subscription key immediately.

Question 10

You are deploying a Custom Vision model as a Docker container. You need to verify that the container is running and healthy before routing production traffic to it. Which health check endpoint should your load balancer ping?

Accepted Answer

/ready. Cognitive Services containers provide a standard liveness/readiness health check endpoint at `/live` or `/ready` depending on container configuration.

Answer

/status

Answer

/ping

Answer

/health