AI-103 Computer Vision — 20 Questions

Question 1

You are integrating Azure AI Vision Read API into a high-throughput workflow. You receive an HTTP 202 Accepted response. What action should your application take next?

Accepted Answer

Poll the URL specified in the Operation-Location response header until the status is succeeded.. An HTTP 202 response indicates the asynchronous operation has started. The application must poll the URL provided in the Operation-Location header.

Answer

Switch to synchronous Read API endpoint.

Answer

Parse the response body directly for the extracted text results.

Answer

Immediately retry the POST request with an increased timeout value.

Question 2

You are training a Custom Vision object detection model to identify specific manufacturing defects on a production line. You have uploaded 50 images and tagged the defects. When you attempt to train the model, the training fails. What is the most likely cause?

Accepted Answer

Object detection requires a minimum of 15 tagged images per tag.. Custom Vision object detection requires a minimum of 15 images per tag for the training set.

Answer

You must have at least 5 tags defined in the project.

Answer

You must use multi-class classification instead of object detection for manufacturing defects.

Answer

Training images must be smaller than 256x256 pixels.

Question 3

You have trained a Custom Vision classification model. You need to export the model to run locally on an edge device using ONNX format. Which project domain must you select when creating the project to support export?

Accepted Answer

General (compact). To export Custom Vision models to formats like ONNX, TensorFlow, or Docker, you must select a domain marked with '(compact)'.

Answer

Retail

Answer

Food (compact) for edge deployment

Answer

General

Question 4

You are developing a .NET application that extracts bounding boxes of text from scanned documents using Azure AI Vision 4.0. Which asynchronous API operation should you call first to initiate the OCR process?

Accepted Answer

POST /computervision/imageanalysis:analyze?api-version=2024-02-01. Image Analysis 4.0 uses the Read API (Analyze Image 4.0 Read operation) for OCR, which is an asynchronous operation returning an Operation-Location header.

Answer

POST /vision/v3.2/ocr

Answer

POST /vision/v2.1/recognizeText

Answer

POST /customvision/v3.3/Prediction

Question 5

Your company wants to generate descriptive captions for thousands of product images automatically using Azure AI Vision. Which visual feature parameter should you specify in the analyze request?

Accepted Answer

features=caption. The 'captions' visual feature extracts a human-readable sentence describing the image content.

Answer

features=read

Answer

features=smartCrops

Answer

features=objects

Question 6

You need to determine the primary dominant colors and whether an image is predominantly black-and-white using Azure AI Vision. Which visual feature parameter provides this information?

Accepted Answer

features=color. The color feature returns dominant foreground color, background color, accent color, and whether the image is black and white.

Answer

features=denseCaptions

Answer

features=people

Answer

features=tags

Question 7

Your application uploads an image to Azure AI Vision for analysis. You need to generate thumbnail images with specific aspect ratios while maintaining the primary region of interest. Which API endpoint or feature should you use?

Accepted Answer

Call the Get Thumbnail API passing width, height, and smartCropping parameters.. The 'smartCrops' feature in Image Analysis 4.0 generates thumbnail coordinates optimized for target aspect ratios.

Answer

Use Custom Vision Training API to train a cropping model.

Answer

Call the Analyze Image API with features=objects and crop the image locally.

Answer

Use Azure AI Document Intelligence layout analysis.

Question 8

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 9

Your enterprise application uses Custom Vision. Due to compliance policies, you must ensure that your training data and model endpoints reside within a specific Azure region with strict data residency guarantees. Which resource configuration should you use?

Accepted Answer

Create a Custom Vision training and prediction resource in the targeted Azure region.. Custom Vision resources must be created in an Azure region that supports Custom Vision, and data remains within that region. Using a Cognitive Services multi-service resource or regional Custom Vision resource ensures regional residency.

Answer

Use the Global resource endpoint for Custom Vision.

Answer

Use Azure AI Vision multi-service account with global routing.

Answer

Store images in Azure Blob Storage with geo-replication.

Question 10

You are designing a multimodal solution that combines Azure AI Vision dense captions with Azure OpenAI GPT-4 Vision. You want to extract precise bounding box coordinates for multiple objects in complex scenes and pass them as structured context. Which API feature should you invoke?

Accepted Answer

features=denseCaptions. Dense captions return a set of regional bounding boxes and corresponding descriptive text snippets.

Answer

features=objects

Answer

features=smartCrops

Answer

features=tags

Question 11

You are writing a Python script using the Azure AI Vision SDK to analyze an image from a local file path. Which client class should you instantiate first?

Accepted Answer

ImageAnalysisClient. The ImageAnalysisClient is the primary client class used in the Azure AI Vision SDK (v4.0) for image analysis tasks.

Answer

ComputerVisionClient

Answer

VisionServiceClient

Answer

CustomVisionPredictionClient

Question 12

Your application analyzes high-resolution engineering blueprints using Azure AI Vision Read API. Users report that small text annotations are occasionally missed. How can you optimize the input image or API configuration to improve recognition of small text?

Accepted Answer

Ensure the image is submitted at full resolution without lossy compression, and verify contrast.. For high-resolution images or very small text, ensuring the image is clear and within supported size limits, or preprocessing to enhance contrast and scale, is crucial. Additionally, Image Analysis 4.0 Read handles high-res documents efficiently when passed directly.

Answer

Convert the blueprint to grayscale and reduce color depth to 1-bit monochrome.

Answer

Switch from Read API to Tagging API.

Answer

Downsample the image resolution to under 1000x1000 pixels before submission.

Question 13

You are evaluating a Custom Vision classification model. You want to programmatically test the model against a validation dataset without using the portal UI. Which endpoint should your script call?

Accepted Answer

POST /customvision/v3.3/Prediction/{projectId}/classify/iterations/{publishedName}/image. Predictions are queried via the Prediction endpoint of the Custom Vision project.

Answer

POST /computervision/imageanalysis:analyze

Answer

POST /customvision/v3.3/Training/{projectId}/images

Answer

GET /vision/v3.2/models

Question 14

Your application uploads images to Azure AI Vision via URLs. One of your URLs is failing with an invalid image error, even though the image opens correctly in web browsers. What is the most likely reason?

Accepted Answer

The URL requires HTTP Basic Authentication or redirects that the vision service cannot resolve.. Azure AI Vision must be able to publicly access the URL without authentication barriers (like cookies, redirects, or private IP spaces).

Answer

Azure AI Vision does not support URL-based inputs; you must upload binary bytes.

Answer

The image file size exceeds 500 MB.

Answer

Image URLs are restricted to PNG format only.

Question 15

You need to retrieve coordinates of people detected in an image using Azure AI Vision 4.0. Which visual feature should you request?

Accepted Answer

features=people. The 'people' visual feature detects people in the image and returns their bounding box coordinates.

Answer

features=objects

Answer

features=faces

Answer

features=tags

Question 16

You are troubleshooting a Custom Vision object detection model that has low precision and high false-positive rates for a specific object class. During data analysis, you notice that negative images (images without the object) lack background variety. What is the recommended remediation step?

Accepted Answer

Add diverse negative images containing background environments similar to where false positives occur.. Adding more diverse negative images that resemble difficult backgrounds helps the model distinguish the target object from confusing background elements.

Answer

Increase the probability threshold in the prediction API call.

Answer

Remove all tagged bounding boxes and retrain as a multi-class classification model.

Answer

Apply aggressive data augmentation to duplicate existing positive images.

Question 17

You are building an automated asset management system that processes millions of images annually. To optimize costs and latency, you want to minimize the number of API calls while extracting tags, bounding box objects, and OCR text simultaneously. How should you structure your API request?

Accepted Answer

Include multiple comma-separated values in the features parameter, such as features=tags,objects,read.. Image Analysis 4.0 allows combining multiple features in a single API call using the 'features' query parameter.

Answer

Submit three separate asynchronous requests for tags, objects, and read.

Answer

Use the legacy Computer Vision v3.2 batch analysis endpoint.

Answer

Train a Custom Vision model to combine all three tasks.

Question 18

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?

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 19

You are using Azure AI Vision to analyze an image. You want to receive the output in Spanish instead of English. Which query parameter should you add to your request?

Accepted Answer

language=es. The 'language' query parameter specifies the language for the output results (e.g., language=es for Spanish).

Answer

translation=spanish

Answer

output-lang=es

Answer

locale=es-ES

Question 20

When creating a new project in the Custom Vision portal, you need to choose a classification type. You want to tag an image with multiple independent tags (e.g., 'outdoor', 'sunset', 'mountain'). Which classification type should you select?

Accepted Answer

Multilabel. Multilabel classification allows zero or more tags to be applied to each image independently.

Answer

Object Detection

Answer

Binary Classification

Answer

Multiclass