AI-900 Describe features of computer vision workloads on Azure Practice Test 3 — 15 Questions

Question 1

A construction safety team wants to automatically detect whether workers on a job site are wearing hard hats by analyzing images from surveillance cameras. They have a large set of labeled images containing workers wearing hard hats and workers without hard hats. The team needs to train a model that can identify the location of each hard hat in an image. Which Azure Computer Vision service should they use?

Accepted Answer

Custom Vision – Object Detection. Option A is correct because Custom Vision – Object Detection is specifically designed to identify and locate multiple objects within an image by drawing bounding boxes around them. The construction safety team needs to detect the location of each hard hat, which requires object detection, not just classification. Custom Vision allows training a model with labeled images that include bounding box annotations for objects like hard hats.

Answer

Computer Vision – Optical Character Recognition (OCR)

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Face API

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Custom Vision – Image Classification

Question 2

A museum wants to automatically generate descriptive tags for its digital art collection. They need to identify objects, themes, and artistic styles in the images without any custom training. Which Azure Computer Vision feature should they use?

Accepted Answer

Azure AI Computer Vision Image Analysis. Azure AI Computer Vision Image Analysis provides pre-built models that can automatically generate descriptive tags for images, identifying objects, themes, and artistic styles without any custom training. This feature uses a set of thousands of recognizable objects, living beings, scenery, and actions, making it ideal for the museum's requirement to tag digital art without custom model development.

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Azure AI Custom Vision

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Azure AI Face service

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Azure AI Form Recognizer

Question 3

A social media platform wants to automatically generate a textual description for each user-uploaded image to assist visually impaired users. Which prebuilt Azure Computer Vision feature should they use?

Accepted Answer

B. Option B is correct because the Azure Computer Vision Image Analysis API includes a 'caption' feature that generates a human-readable textual description of an image's content. This prebuilt capability is specifically designed to assist visually impaired users by automatically producing alt-text for images, making it the ideal choice for the social media platform's requirement.

Answer

A

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C

Answer

D

Question 4

A retail company wants to use Azure Computer Vision to automatically monitor shelf inventory. They need to detect whether items are present on a shelf and count the number of items, without needing to identify the specific product type. Which prebuilt Computer Vision capability should they use?

Accepted Answer

Object detection. Object detection (Option C) is the correct prebuilt Computer Vision capability because it can both locate items within an image using bounding boxes and count them, without requiring identification of the specific product type. This aligns directly with the requirement to detect presence and count items on a shelf, as object detection outputs the coordinates and count of detected objects, not their classification into fine-grained categories.

Answer

Optical Character Recognition (OCR)

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Image classification

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Semantic segmentation

Question 5

A travel booking website wants to automatically identify famous landmarks (e.g., Eiffel Tower, Taj Mahal) in photos uploaded by users. They want to use a prebuilt Azure Computer Vision feature without custom training. Which capability should they use?

Accepted Answer

Domain-specific models (Landmark detection). Option D is correct because Azure Computer Vision includes prebuilt domain-specific models for landmark detection that can identify famous landmarks like the Eiffel Tower or Taj Mahal without any custom training. This capability is specifically designed to recognize well-known structures from user-uploaded photos, making it the ideal choice for the travel booking website's requirement.

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Image classification

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Optical character recognition (OCR)

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Object detection

Question 6

A hotel booking website wants to automatically analyze guest-submitted photos of hotel rooms to verify if they contain common amenities such as a bed, a desk, and a chair. They want to use a prebuilt Azure AI service without any custom training. Which feature should they use?

Accepted Answer

Object Detection. Object Detection (prebuilt) is the correct choice because it can identify and locate multiple specific objects (bed, desk, chair) within an image by drawing bounding boxes around them. This prebuilt Azure AI Vision feature requires no custom training and directly supports detecting common amenities in hotel room photos.

Answer

Optical Character Recognition (OCR)

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Image Analysis (prebuilt)

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Handwriting OCR

Question 7

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

Accepted Answer

Optical Character Recognition (OCR). Option A is correct because Azure Computer Vision's Optical Character Recognition (OCR) API is specifically designed to extract printed or handwritten text from images. In this scenario, the handwritten shipping labels contain textual data (destination address, sender name, package weight), and OCR can read and digitize that text for automated processing. The other options address different visual tasks—object detection, classification, or facial recognition—none of which extract text content.

Answer

Object detection

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Image classification

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Facial recognition

Question 8

A retail company wants to use Azure Computer Vision to monitor shelf inventory. They need to detect whether specific products (e.g., 'Brand A cereal', 'Brand B cereal') are present on a shelf and count the number of units of each product. They have a labeled dataset with images of each product category. Which Azure Computer Vision capability should they use?

Accepted Answer

Custom object detection. Custom object detection (A) is correct because the retail company needs to detect and count specific product categories (e.g., 'Brand A cereal', 'Brand B cereal') from images, which requires training a model on a labeled dataset of those products. Azure Custom Vision's object detection capability allows you to upload labeled images, train a model to identify and locate multiple instances of each product in an image, and return bounding boxes with counts per class. This is the only option that supports custom, multi-class object detection and counting from user-provided training data.

Answer

Optical character recognition (OCR)

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Prebuilt image analysis (Describe Image)

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Facial recognition

Question 9

A home security system uses a camera to detect common household objects such as a person, a pet, a bag, or a package. The system needs to identify the presence and location (bounding box) of these objects in images. The development team wants to use a prebuilt Azure AI service without any custom training. Which Azure Computer Vision capability should they use?

Accepted Answer

Image Analysis – Object Detection. Option B (Image Analysis – Object Detection) is correct because the requirement is to identify both the presence and location (bounding box) of common household objects in images using a prebuilt Azure AI service without custom training. Azure Computer Vision's Image Analysis – Object Detection provides pre-trained models that can detect multiple objects, including people, pets, bags, and packages, and return their bounding box coordinates, exactly matching the scenario.

Answer

Optical Character Recognition (OCR)

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Image Analysis – Image Captioning

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Custom Vision

Question 10

A retail store wants to use Azure Computer Vision to count the number of people entering a store from live video feeds. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

People Detection. People Detection is a specialized prebuilt capability within Azure Computer Vision that is designed specifically to detect and count people in images or video frames. Unlike generic object detection, it is optimized for identifying human figures regardless of pose or occlusion, making it ideal for counting store entries from live video feeds.

Answer

Image classification

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Object detection

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Optical Character Recognition (OCR)

Question 11

A social media platform wants to automatically detect and flag images that contain violent content or adult material before they are published. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

Image Analysis (with content moderation). Option C is correct because Azure Computer Vision's Image Analysis includes a content moderation feature that can detect adult, racy, and violent content in images. This prebuilt capability is specifically designed to flag inappropriate material before publication, making it the ideal choice for the social media platform's requirement.

Answer

Optical Character Recognition (OCR)

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Object Detection

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Background Removal

Question 12

A retail company wants to use Azure Computer Vision to monitor product availability on shelves. They need to detect the presence and location of any product (e.g., a box, a bottle) on a shelf image, but they do not need to identify the specific product brand or type. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

Object detection. Object detection is the correct choice because it identifies and locates multiple objects within an image by drawing bounding boxes around each detected item. For monitoring product availability on shelves, the company needs to know both the presence and position of products (e.g., boxes, bottles) without identifying specific brands or types, which aligns exactly with object detection's capability to output class labels (e.g., 'product') and coordinates.

Answer

Image classification

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Optical Character Recognition (OCR)

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Semantic segmentation

Question 13

A logistics company wants to automatically extract the tracking numbers, delivery addresses, and sender names from scanned shipping labels. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

Optical Character Recognition (OCR). Option B (Optical Character Recognition, or OCR) is correct because the task requires extracting text (tracking numbers, addresses, sender names) from scanned images. Azure Computer Vision's OCR API is specifically designed to detect and read printed or handwritten text from images, returning the text content along with bounding boxes. Object Detection, Image Classification, and Face Detection do not extract text, making OCR the appropriate prebuilt capability.

Answer

Object Detection

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Image Classification

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Face Detection

Question 14

A city traffic department wants to use Azure Computer Vision to automatically analyze live video feeds from traffic cameras. They need to detect and locate common objects such as cars, pedestrians, and bicycles in each frame. The department does not have a labeled dataset for custom training. Which prebuilt Azure Computer Vision capability should they use?

Accepted Answer

Object Detection (part of Image Analysis 4.0). Option C is correct because the Object Detection capability within Image Analysis 4.0 can detect and locate common objects (e.g., cars, pedestrians, bicycles) in images or video frames without requiring any labeled dataset. It provides bounding box coordinates for each detected object, which directly meets the requirement to 'detect and locate' objects in live traffic camera feeds.

Answer

Image Analysis (descriptive tags and captions)

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Optical Character Recognition (OCR) API

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Custom Vision object detection

Question 15

A manufacturing company wants to use Azure Computer Vision to inspect products on an assembly line for defects. They have a labeled dataset with images of defective and non-defective products. They need to not only classify products as defective or not, but also identify the exact location of the defect (e.g., a crack) in the image. Which Azure Computer Vision capability should they use?

Accepted Answer

Custom Vision object detection. Custom Vision object detection is the correct choice because it not only classifies images (defective vs. non-defective) but also localizes defects by drawing bounding boxes around them. The labeled dataset with defect locations directly supports training a model to output both class labels and spatial coordinates, which is exactly what object detection provides.

Answer

Custom Vision image classification

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Azure Face API

Answer

Optical Character Recognition (OCR)