AI-102 Implement computer vision solutions Practice Test 2 — 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

Which THREE are valid uses of Azure AI Vision Image Analysis 4.0? (Select three.)

Accepted Answer

Extract printed text from an image using OCR. Options A, B, and D are correct. Image Analysis 4.0 can generate captions, detect objects, and read text. Option C is wrong because translating text is done by Azure AI Translator. Option E is wrong because transcribing audio is done by Azure AI Speech.

Answer

Transcribe spoken audio from a video file

Answer

Translate text found in an image to another language

Question 5

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 6

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 7

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 8

You are developing a solution to detect defects on a manufacturing assembly line using computer vision. The solution must classify images as 'defective' or 'non-defective'. You have a limited set of labeled images (500 per class). Which approach should you recommend?

Accepted Answer

Use Azure AI Custom Vision with image classification. The correct answer is to use a custom model with transfer learning via Azure AI Custom Vision. This is designed for small datasets and allows classification with limited labeled data. Option A is wrong because pre-built models are not trained for specific defects. Option B is wrong because object detection is overkill and not focused on classification. Option D is wrong because training a model from scratch requires much more data.

Answer

Use Azure AI Vision Image Analysis with a pre-built model

Answer

Use Azure AI Custom Vision with object detection

Answer

Train a deep learning model from scratch using Azure Machine Learning

Question 9

An application uses Azure AI Vision to analyze images and extract text. The application crashes when processing images with embedded barcodes. You suspect the issue is related to the image pre-processing. Which step should you add to the pipeline to resolve the issue?

Accepted Answer

Detect and remove barcodes from the image before OCR. The correct answer is to add a barcode detection and removal step before OCR. Barcodes can confuse OCR services because they contain patterns that may be interpreted as text, causing errors. Option A is wrong because adjusting contrast does not address barcode interference. Option B is wrong because adding more training data is for custom models, not pre-built OCR. Option D is wrong because compressing the image may reduce quality and exacerbate the issue.

Answer

Increase the image contrast before sending to the OCR engine

Answer

Add more training data with barcodes to the OCR model

Answer

Resize the image to a smaller resolution to reduce barcode impact

Question 10

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 11

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 12

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 13

You need to build a solution that reads text from images in multiple languages, including Arabic and English, and translates the text into English. The solution must preserve the original layout as much as possible. Which combination of Azure AI services should you use?

Accepted Answer

Azure AI Document Intelligence Read and Azure AI Translator. The correct answer is to use Azure AI Document Intelligence Read for OCR and then Azure AI Translator for translation. Read supports multiple languages and preserves layout, and Translator can translate the extracted text. Option A is wrong because Azure AI Vision OCR does not preserve layout as well. Option C is wrong because Azure AI Language is for NLP tasks, not translation. Option D is wrong because Azure AI Speech is for speech-to-text, not OCR.

Answer

Azure AI Document Intelligence Read and Azure AI Language

Answer

Azure AI Vision OCR and Azure AI Translator

Answer

Azure AI Speech and Azure AI Translator

Question 14

You are developing a mobile app that allows users to take a photo of a product and get information about it. The app must identify the product from the image. Which Azure AI service should you use?

Accepted Answer

Azure AI Custom Vision with image classification. The correct answer is Azure AI Custom Vision with image classification. Custom Vision can be trained to recognize products from images. Option A is wrong because object detection is for locating objects, not classifying the entire image. Option C is wrong because Face API is for faces. Option D is wrong because OCR is for text extraction.

Answer

Azure AI Vision OCR

Answer

Azure AI Face API

Answer

Azure AI Custom Vision with object detection

Question 15

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