AI-102 Practice Test 25 — 15 Questions

Question 1

A company uses Azure AI Custom Vision to classify images of products. The model is deployed to a mobile app. The app sends images to the Custom Vision prediction endpoint. Users report that the app is slow when the network is poor. You need to enable offline inference on the mobile device. What should you do?

Accepted Answer

Export the model as TensorFlow Lite and integrate it into the mobile app. Option D is correct because exporting the model to TensorFlow Lite and running inference on-device allows offline operation. Option A is wrong because it only reduces latency when online. Option B is wrong because it does not enable offline inference. Option C is wrong because Azure IoT Edge is for edge devices, not mobile apps directly.

Answer

Use the Custom Vision compact model with smaller image size

Answer

Increase the prediction API timeout

Answer

Deploy the model to an Azure IoT Edge device

Question 2

Which TWO Azure services can be used to perform optical character recognition (OCR) on documents? (Select two.)

Accepted Answer

Azure AI Document Intelligence. Options A and C are correct. Azure AI Vision includes the Read API for OCR. Azure AI Document Intelligence also performs OCR as part of its document analysis. Option B is wrong because Azure AI Language is for text analytics, not OCR. Option D is wrong because Azure AI Metrics Advisor is for anomaly detection. Option E is wrong because Azure AI Personalizer is for reinforcement learning.

Answer

Azure AI Metrics Advisor

Answer

Azure AI Language

Answer

Azure AI Personalizer

Question 3

You are developing a solution that uses Azure AI Video Indexer to analyze surveillance videos for suspicious activity. The solution must generate alerts when a person is detected in a restricted area. Which feature should you use?

Accepted Answer

Azure AI Video Indexer people detection and tracking. Option B is correct because Azure AI Video Indexer's detection of people and their movements can be used to trigger alerts when a person is in a restricted area. Option A is wrong because object detection alone does not track location over time. Option C is wrong because face identification is for identifying specific individuals, not for location-based alerts. Option D is wrong because sentiment analysis is for emotions, not location.

Answer

Azure AI Video Indexer sentiment analysis

Answer

Azure AI Face identify API

Answer

Object detection in Azure AI Vision

Question 4

You need to analyze a live video stream from a security camera to detect people entering a restricted area. Which Azure AI service should you use?

Accepted Answer

Azure Video Indexer. The correct answer is Azure Video Indexer (Video Analyzer) which supports live video analysis and can detect people and events. Option A is wrong because Video Analyzer for Media (now part of Video Indexer) is for analyzing pre-recorded video. Option B is wrong because Custom Vision is for image classification, not live video. Option D is wrong because Face API is for facial recognition, not generic people detection in live video streams.

Answer

Azure AI Custom Vision

Answer

Azure Video Analyzer for Media (deprecated)

Answer

Azure AI Face API

Question 5

You are designing a solution that extracts information from scanned invoices. The solution must automatically classify invoices by vendor and extract key fields (total amount, date, invoice number). Which combination of Azure AI services should you use?

Accepted Answer

Azure AI Document Intelligence custom classification and extraction models. The correct answer is to use Azure AI Document Intelligence with a custom classification model for vendor classification and a custom extraction model for field extraction. Option A is wrong because pre-built invoice model does not support custom vendor classification. Option B is wrong because Azure AI Vision OCR alone cannot extract structured fields. Option D is wrong because Form Recognizer is the older name and the service is now Document Intelligence; the combination is correct but the naming is outdated, and it does not include classification.

Answer

Azure AI Vision OCR and Azure AI Language

Answer

Azure AI Form Recognizer (deprecated) with custom models

Answer

Azure AI Document Intelligence pre-built invoice model

Question 6

An application uses Azure AI Face API to perform face detection and verification. The application must ensure that only users with verified identities can access sensitive data. Which additional Azure service should you integrate to comply with Microsoft's Responsible AI standards for facial recognition?

Accepted Answer

Microsoft Entra ID and Face API Limited Access. The correct answer is to integrate Microsoft Entra ID for identity management and use Face API with Limited Access approval. Responsible AI standards require that facial recognition for identity verification is used with proper consent and access control. Option A is wrong because Azure AI Content Safety is for content moderation, not identity. Option B is wrong because Azure AI Vision does not handle identity verification. Option D is wrong because Azure AI Video Indexer is for video analysis, not identity verification.

Answer

Azure Video Indexer

Answer

Azure AI Content Safety

Answer

Azure AI Vision Image Analysis

Question 7

You have an Azure AI Vision resource named MyVisionService. You run the above Azure CLI command and get the keys. Your application uses key1 for authentication. You need to rotate the keys without downtime. What should you do?

Accepted Answer

Update the application to use key2, then regenerate key1. The correct answer is to update the application to use key2, then regenerate key1. This ensures no downtime because the application continues to work with key2 while key1 is being regenerated. Option A is wrong because regenerating key1 first would cause downtime if the app is using it. Option B is wrong because regenerating both simultaneously causes downtime. Option D is wrong because there is no need to delete the resource.

Answer

Delete and recreate the Cognitive Services resource

Answer

Regenerate key1 immediately and update the application to use the new key1

Answer

Regenerate both keys at the same time

Question 8

You deploy the above ARM template to create an Azure AI Vision resource. After deployment, you try to call the Vision API from your application but receive a 403 Forbidden error. What is the most likely cause?

Accepted Answer

The network ACLs block all traffic by default. The correct answer is that network ACLs are set to Deny by default, blocking all traffic. The template sets networkAcls.defaultAction to 'Deny', meaning no IP addresses are allowed unless explicitly added. Option A is wrong because the SKU S1 is valid. Option B is wrong because the custom subdomain is correctly configured. Option D is wrong because the apiVersion is valid.

Answer

The apiVersion in the template is incorrect

Answer

The custom subdomain name is not configured correctly

Answer

The SKU 'S1' does not support API calls

Question 9

A bank uses Azure AI Document Intelligence to process loan applications. The solution must extract data from scanned PDFs and validate it against a database. The bank requires that all extracted data be encrypted at rest and in transit. Which security measure should you implement?

Accepted Answer

Enable customer-managed keys (CMK) with Azure Key Vault for the Document Intelligence resource. Option C is correct because using a customer-managed key (CMK) with Azure Key Vault provides control over encryption keys and ensures data is encrypted at rest. Option A is wrong because Azure RBAC controls access but not encryption. Option B is wrong because private endpoint secures network traffic but does not encrypt data at rest. Option D is wrong because managed identity is for authentication, not encryption.

Answer

Use a system-assigned managed identity for the application

Answer

Configure a private endpoint for the Document Intelligence resource

Answer

Use Azure RBAC to restrict access to the Document Intelligence resource

Question 10

You are deploying a computer vision model using Azure AI Custom Vision with a small dataset of 200 images per class. The model shows high accuracy on training data but low accuracy on test data. Which action should you take to reduce overfitting?

Accepted Answer

Increase the training dataset size with more varied images. The correct answer is to increase the training dataset size by adding more varied images. Overfitting occurs when the model learns noise from a small dataset. Option A is wrong because increasing the number of training epochs can actually increase overfitting. Option B is wrong because increasing the learning rate may cause divergence. Option D is wrong because reducing image size can lose important features.

Answer

Increase the learning rate

Answer

Reduce the image size to lower resolution

Answer

Increase the number of training epochs

Question 11

You need to analyze a video stream from a security camera to count the number of people entering a building. Which Azure AI service is most suitable?

Accepted Answer

Azure AI Video Indexer. Option A is correct because Azure AI Video Indexer can analyze video streams and detect people. Custom Vision (B) would require custom training for each camera setup. Computer Vision (C) is for images, not video streams. Spatial Analysis (D) is a part of Computer Vision but is designed for spatial understanding; Video Indexer is more straightforward for counting people in video.

Answer

Azure AI Spatial Analysis

Answer

Azure AI Custom Vision

Answer

Azure AI Computer Vision

Question 12

You need to build a solution that detects whether a person is wearing a hard hat in a construction site image. Which Azure AI service should you use?

Accepted Answer

Azure AI Custom Vision. Option B is correct because Azure AI Custom Vision allows you to train a custom object detection model to detect hard hats. Option A is wrong because Azure AI Face is for face detection/recognition, not hard hat detection. Option C is wrong because Azure AI Video Indexer is for video analysis. Option D is wrong because Azure AI Document Intelligence is for document analysis.

Answer

Azure AI Video Indexer

Answer

Azure AI Face

Answer

Azure AI Document Intelligence

Question 13

Which TWO Azure AI services can be used to perform optical character recognition (OCR) on images? (Choose two.)

Accepted Answer

Azure AI Document Intelligence Read model. Azure AI Vision OCR (Read API) and Azure AI Document Intelligence Read model both provide OCR capabilities. Option C is wrong because Custom Vision is for image classification/object detection. Option D is wrong because Video Indexer is for video analysis. Option E is wrong because Face API is for face detection.

Answer

Azure Video Indexer

Answer

Azure AI Custom Vision

Answer

Azure AI Face API

Question 14

You are building an application that analyzes images of handwritten notes. The application must extract the handwritten text and preserve the original layout, including line breaks and indentation. Which Azure AI service should you use?

Accepted Answer

Azure AI Document Intelligence Read model. The correct answer is Azure AI Document Intelligence (formerly Form Recognizer) with the Read OCR model, which extracts text including layout information. Option A is wrong because Azure AI Vision OCR does not preserve layout to the same extent; it returns text regions but not the full layout structure. Option B is wrong because the Layout model specifically focuses on layout and is part of Document Intelligence. Option D is wrong because Translator is for translation, not OCR.

Answer

Azure AI Vision OCR

Answer

Azure AI Document Intelligence Layout model

Answer

Azure AI Translator

Question 15

Which THREE factors should you consider when choosing between Azure AI Custom Vision and Azure AI Vision pre-built models for an image classification task? (Choose three.)

Accepted Answer

Availability of labeled training data specific to the domain. Custom Vision is suitable when you have custom labels not covered by pre-built models, and when you have sufficient training data. Pre-built models are better when you need immediate deployment without data. Option B is wrong because real-time requirements can be met by both services. Option D is wrong because both services support common image formats.

Answer

Image format support (JPEG, PNG)

Answer

Need for real-time inference latency