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Certifications›AI-900›Objectives›Describe features of computer vision workloads on Azure
Objective 3.0

Describe features of computer vision workloads on Azure

AI-900 Practice Questions

Use this page to practise Describe features of computer vision workloads on Azure questions for this certification. Focus on how the exam tests describe features of computer vision workloads on azure in scenario format — understanding the why behind each answer builds more durable knowledge than memorising options.

Full Practice Test →All Objectives

What this objective tests

AI-900 Describe features of computer vision workloads on Azure — Key Topics

Describe features of computer vision workloads on Azure questions on this certification test your ability to deploy and manage describe features of computer vision workloads on azure concepts in scenario-based situations.

  • Core Describe features of computer vision workloads on Azure concepts and how they apply in real-world cloud scenarios.
  • How to deploy describe features of computer vision workloads on azure correctly and verify the outcome.
  • Troubleshooting describe features of computer vision workloads on azure issues by interpreting error output and system state.
  • Cloud best practices and Describe features of computer vision workloads on Azure design trade-offs tested by this certification.

Common exam traps

Where candidates lose marks on Describe features of computer vision workloads on Azure

  • ⚠Selecting the most expensive service when a simpler managed option meets the requirement.
  • ⚠Forgetting that cloud resources must be explicitly secured — defaults are rarely secure.
  • ⚠Choosing a global service fix when the issue is region-specific.
  • ⚠Overlooking cost implications of cross-region data transfer in architecture questions.

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

30 questions from this objective

Question 2mediummultiple choice
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A transportation company wants to automatically identify whether an image contains a car, a truck, or a motorcycle. The system should output a single label for the entire image. Which computer vision capability in Azure should they use?

Question 3hardmultiple choice
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A manufacturing company wants to use Azure AI to detect surface defects on metal parts. The team has a small set of labeled images of defective and non-defective parts, and images will be taken under various lighting conditions and angles. They need a solution that can leverage a pre-trained model and adapt it to their specific defect types with minimal new training data. Which approach should they take?

Question 4easymultiple choice
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A logistics company receives thousands of handwritten shipping labels each day. They want to use Azure AI to automatically read the handwritten addresses and convert them into digital text. Which Azure Cognitive Services capability should they use?

Question 5mediummultiple choice
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A logistics warehouse uses a conveyor belt system to move packages. They need to automatically read the alphanumeric serial numbers printed on labels attached to each box. The labels may have different fonts and be somewhat dusty. Which Azure Computer Vision feature should they use?

Question 6mediummultiple choice
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A retail company wants to build a system that can verify the identity of customers by comparing their live photo with an uploaded government-issued ID photo. Which Azure Computer Vision service should they use to perform the face comparison?

Question 7mediummultiple choice
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A retail warehouse uses a camera system to locate and count boxes on shelves. The system needs to output the exact positions of each box by drawing a rectangular frame around it in the image. Which Azure Computer Vision capability should they use?

Question 8easymultiple choice
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A construction company uses drone images to survey construction sites. They need an automated system that can identify specific types of heavy equipment (e.g., bulldozers, cranes, excavators) in an image and also draw precise pixel-level outlines around each equipment type. Which Azure Computer Vision capability should they use?

Question 9mediummultiple choice
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A brand monitoring company wants to automatically detect the presence of specific logos (e.g., Apple, Coca-Cola) in social media images. The logos can appear in various orientations and sizes within the image. Which Azure Computer Vision capability is specifically designed to identify popular brands from their logos?

Question 10mediummultiple choice
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A museum wants to create an application that automatically generates descriptive captions for uploaded photos of artworks. The captions should describe the main subject, scene, and artistic style. Which Azure Computer Vision capability should they use?

Question 11easymultiple choice
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A real estate company wants to create an application that automatically generates floor plans from photographs of rooms. The application needs to identify and delineate every pixel in the image that corresponds to walls, doors, windows, and furniture. Which Azure Computer Vision capability should the company use?

Question 12easymultiple choice
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A company needs to automatically extract text from scanned invoices that contain both printed text and handwritten notes. Which Azure AI service is specifically designed to handle this type of document?

Question 13easymultiple choice
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A quality control manager at a bottling plant needs an automated system to inspect images of bottles coming off the production line. The system must determine whether each bottle has a correctly sealed cap or is defective (cap missing or crooked). The manager has a set of labeled images showing both acceptable and defective bottles. Which Azure Computer Vision service should they use to build a model that classifies each bottle image as 'acceptable' or 'defective'?

Question 14easymultiple choice
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A digital art library wants to automatically generate a list of relevant keywords (e.g., 'landscape', 'portrait', 'abstract', 'nature') for each image in their collection. Which Azure Computer Vision capability should they use?

Question 15mediummultiple choice
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A security company wants to monitor a restricted area using camera feeds. The system must detect if a person is present in each video frame and draw a rectangle around each detected person. Which Azure Cognitive Services Computer Vision capability should they use?

Question 16hardmultiple choice
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A logistics company uses drone imagery to monitor a busy container yard. They need to count the exact number of individual shipping containers, even when containers are partially stacked on top of each other or overlapping in the image. Which Azure Computer Vision capability should they choose to achieve the most accurate individual object separation?

Question 17mediummultiple choice
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A retail company uses ceiling-mounted cameras to monitor shelf stock. They want an automated system that analyzes each camera image to detect if any product is missing from its expected location on the shelf (a product gap). Which Azure Computer Vision capability should they use?

Question 18easymultiple choice
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A nature conservation organization wants to create an app that automatically identifies different species of birds from photos uploaded by birdwatchers. They have thousands of labeled images of bird species. Which Azure service should they use to train a custom model?

Question 19hardmultiple choice
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A robotic arm in a factory needs to pick parts from a bin. The system must identify each part and its exact outline to ensure precise grasping. Which Computer Vision capability should be used?

Question 20hardmultiple choice
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An autonomous vehicle team needs a system that not only identifies objects like cars and pedestrians but also creates a precise pixel-level mask for each individual object instance, even when objects overlap. Which Azure Computer Vision capability should they use?

Question 21easymultiple choice
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A museum wants to create an interactive exhibit where visitors can take a photo of a painting. The system should then generate a descriptive caption (e.g., 'A woman with a pearl earring') and classify the painting as either a portrait or landscape. Which Azure Computer Vision capability should they use without needing to train a custom model?

Question 22easymultiple choice
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A parking management company uses cameras at the entrance and exit of a lot. They need to automatically read the license plate numbers of each car as it enters and exits. Which Azure Computer Vision capability is specifically designed for this task?

Question 23hardmultiple choice
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A wildlife research team uses drone imagery to monitor penguin populations in a remote area. The penguins are small, blend into the rocky background, and are often only partially visible. The team has a limited set of 500 labeled drone images showing penguins. They want to build a system that accurately detects and counts penguins. Which approach should they take using Azure AI services?

Question 24easymultiple choice
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A logistics company scans thousands of packages daily. They need an automated system to read handwritten shipping labels to sort packages correctly. Which Azure Computer Vision capability should they use?

Question 25mediummultiple choice
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A beverage company uses a camera system to inspect bottles on a conveyor belt. The system must automatically identify which bottles are defective (e.g., cracked or chipped) and which are acceptable, based on the overall appearance of each bottle. The company has thousands of labeled images of bottles (defective and non-defective). Which Azure Computer Vision service should they use to train a custom model?

Question 26mediummultiple choice
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A warehouse deploys cameras to automatically process incoming packages. The system must read the serial numbers printed on each package label to update inventory records. The labels often have varied fonts and sizes, and may be slightly rotated. Which Azure Computer Vision capability should be used to extract the serial numbers?

Question 27mediummultiple choice
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A real estate agency wants to create a feature on their website that automatically crops uploaded property photos to focus on the house itself, removing excess sky, ground, or other surroundings. Which Azure Computer Vision capability should they use?

Question 28mediummultiple choice
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A retail company uses overhead cameras to monitor shelf inventory in a store. They want to build a system that automatically detects whether a shelf section is empty or stocked, and specifically identify product categories (e.g., 'soft drinks', 'chips', 'canned goods') and count the number of items in each category. The company has a large set of labeled images showing different shelf states. Which Azure Computer Vision service should they use to build this custom detection and counting solution?

Question 29mediummultiple choice
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An e-commerce website wants to automatically remove the background from product photos uploaded by sellers so that items appear on a consistent plain background. Which Azure Computer Vision capability should they use?

Question 30mediummultiple choice
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A social media platform wants to automatically review user-uploaded images to flag any that contain explicit or suggestive adult content, as well as violent imagery. Which Azure Computer Vision feature should they use?

Question 31mediummultiple choice
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A logistics company receives thousands of handwritten shipping forms daily. They need an automated solution to extract the destination address, sender name, and package weight from these forms. Which Azure Computer Vision capability should they use?

More Describe features of computer vision workloads on Azure questions available in the full practice test.

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All AI-900 Objectives

  • 1.Describe Artificial Intelligence workloads and considerations
  • 2.Describe fundamental principles of machine learning on Azure
  • 3.Describe features of computer vision workloads on Azure
  • 4.Describe features of Natural Language Processing workloads on Azure
  • 5.Describe features of generative AI workloads on Azure