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Microsoft Azure AI Fundamentals (Retired and replaced with AI-901) Questions 151–155 (page: 32)

You send an image to an Azure AI Vision API and receive back the annotated image shown in the following exhibit.



Which type of computer vision was used?

  1. object detection
  2. face detection
  3. optical character recognition (OCR)
  4. image classification

Answer(s): A

Explanation:

Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same tag in an image.
The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection



What are two tasks that can be performed by using the Azure AI Vision service? Each correct answer presents a complete solution.

Note: Each correct selection is worth one point.

  1. Train a custom image classification model.
  2. Detect faces in an image.
  3. Recognize handwritten text.
  4. Translate the text in an image between languages.

Answer(s): B,C

Explanation:

B: Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
C: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents.
Computer Vision is now Azure AI Vision.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/home



What is a use case for classification?

  1. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
  2. analyzing the contents of images and grouping images that have similar colors
  3. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
  4. predicting how many minutes it will take someone to run a race based on past race times

Answer(s): C

Explanation:

Two-class classification provides the answer to simple two-choice questions such as Yes/No or True/False.
Incorrect Answers:
A: This is Regression.

B: This is Clustering.
D: This is Regression.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize- model-clustering



What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.

Note: Each correct selection is worth one point.

  1. Predict stock prices.
  2. Detect brands in an image.
  3. Detect the color scheme in an image
  4. Translate text between languages.
  5. Extract key phrases.

Answer(s): B,C

Explanation:

B: Identify commercial brands in images or videos from a database of thousands of global logos. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.
C: Analyze color usage within an image. Computer Vision can determine whether an image is black & white or color and, for color images, identify the dominant and accent colors.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview



You need to build an image tagging solution for social media that tags images of your friends automatically.

Which Azure AI service should you use?

  1. Face
  2. Azure AI Document Intelligence
  3. Azure AI Language
  4. Azure AI Computer Vision

Answer(s): A

Explanation:

The Azure Face service provides AI algorithms that detect, recognize, and analyze human faces in images.
Facial recognition software is important in many different scenarios, such as identity verification, touchless access control, and face blurring for privacy.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/howtodetectfacesinimage



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