AI-900 Describe features of computer vision workloads on Azure Practice Test 7 — 15 Questions

Question 1

A retail store uses security cameras to analyze customer behavior. They need to detect when a person enters a specific zone (e.g., an aisle) and count how many people are in that zone at any given time. Which Azure Computer Vision capability should they use?

Accepted Answer

Spatial Analysis. Spatial Analysis is the correct Azure Computer Vision capability because it is specifically designed to analyze video feeds from cameras to detect people entering predefined zones, track their movement, and count occupancy in real time. This capability uses AI models to understand spatial relationships and events within a video frame, such as a person crossing a line or entering a zone, which directly matches the requirement to detect when a person enters a specific aisle and count how many people are in that zone.

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Object Detection

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Image Classification

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Optical Character Recognition (OCR)

Question 2

An art gallery wants to build a mobile app that allows visitors to take a photo of a specific painting and receive detailed information about that artwork. The gallery has a library of high-quality images of each painting in their collection. Which Azure AI service should they use to build this identification capability?

Accepted Answer

Azure Custom Vision. Azure Custom Vision is the correct choice because it allows the gallery to train a custom image classification model using their library of high-quality painting images. This service enables the app to identify specific artworks from user-captured photos and return detailed information, as it is designed for custom classification scenarios where pre-built models are insufficient.

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Azure Computer Vision (pre-built image analysis)

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Azure Face API

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Azure Computer Vision (OCR)

Question 3

A library wants to digitize a collection of old printed books by converting scanned pages into searchable, editable text. Which Azure Computer Vision capability should they use?

Accepted Answer

Optical Character Recognition (OCR). Optical Character Recognition (OCR) is the Azure Computer Vision capability specifically designed to extract printed or handwritten text from images and convert it into machine-readable, searchable, and editable text. For digitizing old printed books, OCR can process scanned pages to produce digital text that can be indexed and edited, directly meeting the library's requirement.

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Image Analysis (descriptions and tags)

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Object detection

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Face detection

Question 4

A logistics company needs to automatically read shipping labels on packages, which include text printed in various fonts and sizes, as well as handwritten addresses. Which Azure Computer Vision capability should they use?

Accepted Answer

Optical Character Recognition (OCR) via the Read API. The Read API is the correct choice because it is specifically designed for extracting printed and handwritten text from images, handling various fonts, sizes, and styles. This makes it ideal for reading shipping labels that contain both machine-printed text and handwritten addresses.

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Dense Captioning

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Image Analysis - Object Detection

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Image Analysis - Tagging

Question 5

A logistics company needs to automatically read shipping labels on packages. The labels contain printed text in various fonts and sizes, as well as handwritten addresses. Which Azure Computer Vision capability should they use to extract the text from the labels?

Accepted Answer

Optical Character Recognition (OCR) - Read API. The Read API (part of Azure Computer Vision's OCR capabilities) is specifically designed to extract printed and handwritten text from images, handling varied fonts, sizes, and styles. This makes it the correct choice for reading shipping labels that contain both printed text and handwritten addresses.

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Image Analysis

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Face API

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Custom Vision

Question 6

A manufacturing company uses cameras on an assembly line to inspect products for cosmetic defects such as scratches, dents, or color inconsistencies. They need to classify each product as 'defective' or 'non-defective' and also identify the precise region (e.g., a specific area of the product surface) that contains the defect. Which Azure Computer Vision capability should they use?

Accepted Answer

Semantic segmentation. Semantic segmentation is the correct choice because it assigns a class label (e.g., 'defective' or 'non-defective') to every pixel in the image, enabling the model to not only classify the product but also delineate the exact boundary of the defect region. This pixel-level precision is required to identify the precise area of the product surface containing the scratch, dent, or color inconsistency.

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Image classification

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Object detection

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Optical Character Recognition (OCR)

Question 7

A retail store wants to analyze customer movement patterns, such as dwell time in front of displays and foot traffic heatmaps, using existing surveillance cameras. Which Azure Computer Vision capability is most suitable?

Accepted Answer

Spatial analysis. Spatial analysis is the correct choice because it is specifically designed to analyze people's presence, movement, and interactions within a physical space using video feeds. It can measure dwell time in front of displays and generate foot traffic heatmaps by tracking individuals across camera frames, which directly matches the retail store's requirements.

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Object detection

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Optical character recognition (OCR)

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Image classification

Question 8

A logistics company needs to automatically extract printed and handwritten text from scanned shipping labels. Which Azure Computer Vision capability should they use?

Accepted Answer

Azure Computer Vision Read API. The Azure Computer Vision Read API is specifically designed to extract printed and handwritten text from images and documents, such as scanned shipping labels. It uses optical character recognition (OCR) to process text in various languages and formats, making it the correct choice for this logistics scenario.

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Azure Face API

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Azure Custom Vision

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Azure Video Indexer

Question 9

A company wants to automate the processing of expense reports by extracting printed text from images of receipts. Which Azure Computer Vision capability should they use?

Accepted Answer

OCR (Read API). The OCR (Read API) is the correct Azure Computer Vision capability for extracting printed text from images of receipts. It is specifically designed to detect and extract text from images and documents, supporting both printed and handwritten text, making it ideal for automating expense report processing.

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Object detection

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Semantic segmentation

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Image Analysis (description generation)

Question 10

A manufacturing company uses overhead cameras on an assembly line to check that each part is present in the correct location on a circuit board. The system must not only confirm the part is there but also draw a box around each part to show its exact position. Which Azure Computer Vision capability should they use?

Accepted Answer

Object Detection. Object Detection is the correct capability because it not only identifies whether a specific object (like a circuit board part) is present in an image but also returns bounding box coordinates that indicate the exact location of each detected object. This meets the requirement to both confirm the part's presence and draw a box around it.

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Optical Character Recognition (OCR)

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Image Classification

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Face Detection

Question 11

A company needs to extract text from scanned invoices and receipts. Which Azure services are suitable for this task? (Choose two.)

Accepted Answer

Computer Vision. Computer Vision (option A) is correct because it provides OCR capabilities to extract printed and handwritten text from images, including scanned invoices and receipts. Its Read API can process text from various surfaces and layouts, making it suitable for document digitization tasks.

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Azure AI Language

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Custom Vision

Question 12

Which Azure AI service can analyze an image and return a description of its contents in natural language?

Accepted Answer

Azure AI Vision (Computer Vision). Azure AI Vision (Computer Vision) includes an image analysis API that can generate a human-readable description of an image's contents. This feature uses deep learning models to identify objects, actions, and scenes, then produces a natural language caption describing the image. The correct answer is B because this is the specific service designed for image understanding and description generation.

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Azure AI Language

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Azure AI Speech

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Azure Bot Service

Question 13

Which Azure AI service enables you to train a custom image classification model with your own labeled images?

Accepted Answer

Azure AI Custom Vision. Azure AI Custom Vision (option B) is the correct service because it is specifically designed to allow users to upload their own labeled images, train a custom image classification model, and then deploy it via a REST API endpoint. Unlike the pre-built Azure AI Vision service, Custom Vision provides the ability to fine-tune a model on domain-specific visual concepts using transfer learning, making it ideal for bespoke classification tasks.

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Azure AI Vision (pre-built)

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Azure Machine Learning

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Azure AI Face

Question 14

Which Azure AI service detects and identifies human faces in images, including attributes like age estimate and emotion?

Accepted Answer

Azure AI Face. Azure AI Face is the correct service because it is specifically designed to detect and identify human faces in images, and it can extract attributes such as age estimates, emotions (e.g., happiness, sadness), and facial landmarks. Unlike general-purpose image analysis, Azure AI Face uses specialized face detection models and returns face rectangles along with optional attribute data.

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Azure AI Vision

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Azure AI Custom Vision

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Azure AI Video Indexer

Question 15

What is Optical Character Recognition (OCR) and which Azure AI service provides it?

Accepted Answer

Technology that extracts text from images; provided by Azure AI Vision. Optical Character Recognition (OCR) is the technology that extracts printed or handwritten text from images, such as scanned documents or photos, and converts it into machine-readable text. This capability is provided by the Azure AI Vision service, specifically through its Read API, which can process both printed and handwritten text from a variety of image formats.

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Speech recognition; provided by Azure AI Speech

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Language translation; provided by Azure AI Translator

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Handwriting analysis for personality assessment; provided by Azure AI Face