AI-900 Describe features of computer vision workloads on Azure Practice Test 4 — 15 Questions

Question 1

A company wants to use Azure Computer Vision to automatically analyze images of handwritten forms and extract the text for data entry. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

Optical Character Recognition (OCR). Azure Computer Vision's Optical Character Recognition (OCR) capability is specifically designed to extract printed or handwritten text from images, including forms. It uses the Read API, which is optimized for text-heavy documents and supports handwritten text recognition, making it the correct choice for this scenario.

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Image Analysis

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Face API

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Object Detection

Question 2

A company needs to extract text from scanned invoices and receipts. Which Azure services are suitable for this task? (Select all that apply.)

Accepted Answer

Computer Vision. Computer Vision (A) is correct because its OCR (Optical Character Recognition) capability can extract printed and handwritten text from images, including scanned invoices and receipts. Form Recognizer (B) is correct because it is specifically designed to extract text, key-value pairs, and tables from forms and documents like invoices and receipts, using prebuilt models. Both services can handle the task, but Form Recognizer is more specialized for structured document extraction.

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Text Analytics

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Custom Vision

Question 3

A retail chain wants to automatically detect which specific products are missing from store shelves by analyzing images from in-store cameras. Each product has a distinct shape and label. Which Azure Computer Vision capability is most appropriate for this task?

Accepted Answer

B) Object Detection. Object Detection (Option B) is the correct choice because it can identify and locate multiple products within an image by drawing bounding boxes around each detected object. This allows the system to determine which specific products are missing by comparing detected items against an expected inventory list. Image Classification would only label the entire image, not individual products, while OCR focuses on text extraction and Facial Recognition identifies people.

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A) Image Classification

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C) Optical Character Recognition (OCR)

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D) Facial Recognition

Question 4

A manufacturing company wants to use computer vision to inspect products on an assembly line. They need to identify and locate specific types of defects (e.g., scratch, dent, crack) in product images. Which Azure Computer Vision capability should they use?

Accepted Answer

Object Detection. Object Detection is the correct choice because it not only classifies defects (e.g., scratch, dent, crack) but also provides bounding box coordinates to locate each defect within the product image. This meets the requirement to both identify and locate specific defect types on the assembly line.

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Image Classification

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Optical Character Recognition (OCR)

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Face Detection

Question 5

A museum wants to create an app that allows visitors to take a photo of a painting and receive information about the artist, year, and style. The app needs to identify the painting from a database of thousands of artworks. Which Azure Computer Vision capability is most suitable?

Accepted Answer

Image classification. Image classification is the correct choice because the app needs to assign a single label (the specific painting) to the entire photo. Azure Computer Vision's image classification models are trained to recognize and categorize entire images into predefined classes, which matches the requirement of identifying a painting from a database of thousands of artworks based on the visual content of the photo.

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Optical Character Recognition (OCR)

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Object detection

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Face detection

Question 6

A government agency needs to digitize thousands of handwritten application forms so that the text can be searched and processed. Which Azure Computer Vision capability should they use?

Accepted Answer

Optical Character Recognition (Read API). The correct answer is B, Optical Character Recognition (Read API), because the agency needs to extract printed or handwritten text from images of application forms and make it searchable and processable. The Read API is specifically designed for this purpose, handling both printed and handwritten text, and is part of Azure Computer Vision's OCR capabilities.

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Object detection

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Image classification

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Face detection

Question 7

A retail company wants to build a solution that automatically reads the printed text on product labels to update inventory records. The labels contain alphanumeric characters and are in various fonts and sizes. Which Azure Cognitive Service should they use?

Accepted Answer

Azure Computer Vision - OCR. Azure Computer Vision's OCR (Optical Character Recognition) API is specifically designed to extract printed text from images, handling various fonts, sizes, and alphanumeric characters. This makes it the ideal choice for reading product labels to update inventory records, as it can process the diverse label formats commonly found in retail environments.

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Azure Face Service

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Azure Form Recognizer

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Azure Video Indexer

Question 8

A manufacturing company wants to use Azure Computer Vision to automatically inspect products on an assembly line for defects. They need to identify and locate specific types of defects (e.g., scratch, dent, crack) in product images. Which Azure Computer Vision capabilities could be used together to achieve this? (Select two options.)

Accepted Answer

Object Detection. Option A is correct because Object Detection in Azure Computer Vision can identify and locate multiple specific defect types (e.g., scratch, dent, crack) within product images by drawing bounding boxes around each defect. This capability directly meets the requirement to both identify and locate defects on the assembly line.

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Optical Character Recognition (OCR)

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Image Classification

Question 9

A security company needs to monitor a warehouse using video cameras. They want to detect whether any persons are present in a given frame and also know their approximate locations. Which Azure Computer Vision capability should they use?

Accepted Answer

Object detection. Object detection is the correct choice because it not only identifies whether persons are present in a video frame but also provides bounding box coordinates indicating their approximate locations. This capability is specifically designed to locate multiple objects of interest within an image, which directly matches the requirement of detecting persons and knowing where they are.

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Image classification

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Semantic segmentation

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Optical Character Recognition (OCR)

Question 10

A warehouse uses AI to monitor inventory. They need to detect the presence and location of specific objects (e.g., forklifts, pallets) in real-time video feeds. Which Azure Computer Vision capability should they use?

Accepted Answer

Object detection. Object detection is the correct choice because it identifies specific objects (e.g., forklifts, pallets) within an image or video frame and returns bounding box coordinates indicating their location. This capability is designed for real-time spatial awareness, which directly matches the warehouse's need to detect both the presence and position of objects in video feeds.

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Image classification

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OCR (optical character recognition)

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Facial recognition

Question 11

A retail company wants to automatically analyze in-store video footage to count the number of customers entering and exiting through different doors. Which Azure Computer Vision capability should they use?

Accepted Answer

Object detection. Object detection is the correct capability because it can identify and locate multiple instances of people within a video frame, drawing bounding boxes around each person. This allows the system to track individuals across frames and count them as they cross virtual lines at doorways, distinguishing between entering and exiting movements. Optical Character Recognition (OCR), image classification, and face detection lack the spatial localization and multi-instance tracking required for this specific counting task.

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Optical Character Recognition (OCR)

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Image classification

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Face detection

Question 12

An autonomous vehicle system needs to both read the speed limit text on traffic signs and detect the presence and location of pedestrians crossing the road. Which combination of Azure Computer Vision capabilities should be used?

Accepted Answer

Optical Character Recognition (OCR) and Object Detection. The autonomous vehicle system requires two distinct capabilities: reading text from speed limit signs (OCR) and detecting the presence and location of pedestrians (Object Detection). OCR extracts text from images, while Object Detection identifies objects and provides bounding boxes around them, making option C the correct combination.

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Image Classification and OCR

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Semantic Segmentation and OCR

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Face Detection and OCR

Question 13

A logistics company processes packages on an automated conveyor belt. They need to read shipping labels that are often rotated or skewed, and also detect whether a 'FRAGILE' sticker is present on the package. Which combination of Azure Computer Vision capabilities should they use?

Accepted Answer

OCR (Read API) and Object Detection. The scenario requires reading rotated or skewed text from shipping labels (handled by the OCR Read API, which extracts printed and handwritten text from images, even when rotated or skewed) and detecting whether a 'FRAGILE' sticker is present (handled by Object Detection, which identifies and locates specific objects—like stickers—within an image). Option A correctly pairs these two capabilities to meet both requirements.

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Image Classification and OCR (Read API)

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Object Detection and Face Detection

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Image Classification and Face Detection

Question 14

A manufacturing company uses Azure Computer Vision to analyze assembly line images. They need to identify specific product defects (e.g., scratches, dents) and also read serial numbers printed on the products in various fonts. Which combination of Azure Computer Vision features should they use?

Accepted Answer

Custom Vision (object detection) and OCR. Option B is correct because the scenario requires two distinct capabilities: identifying specific defect types (scratches, dents) and reading variable-font serial numbers. Custom Vision's object detection model can be trained on labeled defect images to recognize those specific patterns, while Azure's OCR (part of Computer Vision's Read API) extracts printed text regardless of font. Combining these two features directly addresses both requirements.

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Image Analysis (object detection) and OCR

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Face API and OCR

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Image Analysis (tags) and OCR

Question 15

A security company needs to analyze live video feeds from multiple cameras to detect specific objects (e.g., vehicles, people) and also read license plate numbers from vehicles. Which combination of Azure Computer Vision capabilities should they use?

Accepted Answer

Object detection and Optical Character Recognition. Option A is correct because the scenario requires two distinct capabilities: detecting specific objects (vehicles, people) in live video feeds, which is handled by Azure Computer Vision's Object Detection feature, and reading license plate numbers, which requires Optical Character Recognition (OCR). Object detection identifies and locates objects within an image or video frame, while OCR extracts text from images, making this combination ideal for the use case.

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Image analysis and face detection

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Semantic segmentation and image captioning

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Spatial analysis and image classification