AI-103 Computer Vision Practice Test 2 — 15 Questions

Question 1

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?

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

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 2

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 3

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 4

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 5

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

Question 6

You are testing a Custom Vision object detection model using the test image feature in the portal. You notice that objects are detected with low confidence scores. You want to improve the model's performance without adding more training images. What can you adjust in the training settings?

Accepted Answer

Increase the training time budget in advanced training settings.. While training data is primary, training iterations allow selecting different training time budgets or domains, but adjusting the probability threshold in prediction evaluation helps filter results. However, re-training with advanced training time settings can improve model accuracy.

Answer

Switch from object detection to multiclass classification.

Answer

Decrease the image resolution setting in project properties.

Answer

Disable data augmentation.

Question 7

Your application processes receipt images using Azure AI Vision Read API. You need to extract text specifically from tables within the receipts. Which service is better suited for advanced table structure and key-value pair extraction compared to base Azure AI Vision Read?

Accepted Answer

Azure AI Document Intelligence. Azure AI Document Intelligence (formerly Form Recognizer) is specifically designed for structured data, tables, and key-value extraction from documents and receipts.

Answer

Azure AI Face Service

Answer

Custom Vision Service

Answer

Azure AI Content Safety

Question 8

You are configuring a secure enterprise architecture where Azure AI Vision calls must not traverse the public internet. You create a private endpoint for your Azure AI Services resource in your Virtual Network. Which DNS configuration step is required for client applications within the VNet to resolve the private endpoint correctly?

Accepted Answer

Configure Azure Private DNS zones corresponding to the cognitive services DNS zone and link it to your VNet.. When configuring private endpoints for Azure AI Services, you must update or create Private DNS zones (e.g., `privatelink.cognitiveservices.azure.com`) to map the resource FQDN to the private IP address.

Answer

Add the endpoint IP to the local hosts file of every Azure AI Vision instance.

Answer

Configure public DNS records on your corporate DNS server to point to the public IP.

Answer

Modify the routing table to drop all DNS traffic.

Question 9

You are analyzing performance metrics of a Custom Vision object detection iteration. You observe a Mean Average Precision (mAP) of 88%, but when testing with real-world user photos, the model fails to detect objects that are partially occluded. What should you do to improve occlusion handling?

Accepted Answer

Add training images containing partially occluded objects and ensure they are correctly tagged.. To improve detection of occluded objects, you must include training images that feature partially blocked or occluded instances of the target objects.

Answer

Switch from General domain to Food domain.

Answer

Lower the confidence threshold to 0.01.

Answer

Increase image compression artifacts.

Question 10

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 11

You want to detect whether corporate logos appear in user-submitted images using Azure AI Vision. Which visual feature parameter should you request?

Accepted Answer

features=brands. The 'brands' visual feature detects known commercial brands and logos in an image.

Answer

features=domain-specific

Answer

features=objects

Answer

features=tags

Question 12

You are configuring a Custom Vision project to classify images of plant diseases. You notice that some image files uploaded via the API are rejected because they exceed the maximum allowed file size. What is the maximum image file size supported by Custom Vision for training?

Accepted Answer

6 MB. Custom Vision training images uploaded via API or portal generally have a maximum file size limit of 6 MB per image.

Answer

2 GB

Answer

500 KB

Answer

50 MB

Question 13

You are using Azure AI Vision Read API in your application. You want to ensure that the extracted text blocks return word-level bounding polygons rather than just line-level bounding boxes. What parameter or response structure should you examine?

Accepted Answer

Examine the 'words' array within each returned 'lines' object in the JSON response payload.. The Read API response structure automatically includes word-level details inside each line object (`lines[*].words[*]`), providing bounding polygons for both lines and individual words.

Answer

Add ?wordLevel=true to the query string.

Answer

Call the legacy OCR endpoint instead.

Answer

Set the model-version parameter to v2.0.

Question 14

Your organization requires that all Azure AI Vision API calls are audited and that request payloads (including images) are logged for compliance investigations. Which Azure service feature should you configure alongside Azure AI Services?

Accepted Answer

Enable Diagnostic Settings on the Azure AI Services resource to stream audit logs and telemetry to Azure Monitor Log Analytics.. Azure Diagnostic Settings allow logging API requests, metrics, and audit trails to Azure Monitor, Log Analytics, or Azure Storage.

Answer

Configure Custom Vision training iterations export.

Answer

Enable Azure Bastion session recording.

Answer

Configure Azure Traffic Manager with logging rules.

Question 15

You are optimizing performance for a real-time video analytics pipeline that sends video frames to Azure AI Vision. Due to network bandwidth constraints, you need to reduce payload sizes while maintaining high OCR accuracy. What is the recommended approach?

Accepted Answer

Encode frames as optimized JPEG images with appropriate resolution scaling, ensuring text remains legible.. Compressing frames as high-quality JPEGs or WebP images and resizing them to fit optimal dimension thresholds without excessive downsampling preserves OCR accuracy while drastically reducing payload size.

Answer

Convert frames to uncompressed 32-bit BMP format.

Answer

Extract audio tracks instead of video frames.

Answer

Send raw YUV byte arrays directly without image containerization.