AI-900 practice questions 91–100

1. Question 91 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. Object detection https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects 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 object in an image.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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2. Question 92 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Caution Microsoft has retired facial recognition capabilities that can be used to try to infer emotional states and identity attributes which, if misused, can subject people to stereotyping, discrimination or unfair denial of services. These include capabilities that predict emotion, gender, age, smile, facial hair, hair and makeup. Read more about this decision here. https://azure.microsoft.com/en-us/blog/responsible-ai-investments-and-safeguards-for-facial-recognition/

   Source: Adapted from community discussion — PeteColag

   References

   • azure.microsoft.com documentation

   

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3. Question 93 · 236 in bank

   DRAG DROP - Match the Azure Cognitive Services to the appropriate actions. To answer, drag the appropriate service from the column on the left to its action on the right. Each service may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. Custom Vision 2. Form Recognized 3. Face https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own image identifier models. An image identifier applies labels to images, according to their visual characteristics. Each label represents a classification or object. Unlike the Computer Vision service, Custom Vision allows you to specify your own labels and train custom models to detect them.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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4. Question 94 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. detection https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity#face-detection-and-analysis Face detection is required as a first step in all the other scenarios. The Detect API detects human faces in an image and returns the rectangle coordinates of their locations. It also returns a unique ID that represents the stored face data. This is used in later operations to identify or verify faces. Optionally, face detection can extract a set of face-related attributes, such as head pose, age, emotion, facial hair, and glasses. These attributes are general predictions, not actual classifications. Some attributes are useful to ensure that your application is getting high-quality face data when users add themselves to a Face service. For example, your application could advise users to take off their sunglasses if they're wearing sunglasses.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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5. Question 95 · 236 in bank

   Your company manufactures widgets. You have 1,000 digital photos of the widgets. You need to identify the location of the widgets within the photos. What should you use?

   • AComputer Vision Spatial Analysis
   • BCustom Vision object detection
   • CComputer Vision Image Analysis
   • DCustom Vision classification

   Show answer

   Answer: B

   Explanation

   correct. Custom Vision object detection is a service that allows you to train a model to detect and locate specific objects within images. In this case, you can train a Custom Vision object detection model using the 1,000 digital photos of the widgets. By labeling the widgets in the images and providing corresponding bounding boxes, the model can learn to identify and locate the widgets in new photos. Computer Vision Spatial Analysis focuses on analyzing the spatial relationships and layout of objects within an image, which might not be suitable for precisely identifying the location of specific objects like widgets. Computer Vision Image Analysis is a broad term that encompasses various image analysis techniques, but it may not provide the specific object detection capability required for locating widgets. Custom Vision classification is used to classify images into predefined categories rather than detecting the location of specific objects within the images.

   Source: Adapted from community discussion — rdemontis

   References

   • Microsoft Learn
   • Microsoft Learn

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6. Question 96 · 236 in bank

   You need to convert handwritten notes into digital text. Which type of computer vision should you use?

   • Afacial detection
   • Boptical character recognition (OCR)
   • Cimage classification
   • Dobject detection

   Show answer

   Answer: B

   References

   • Microsoft Learn

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7. Question 97 · 236 in bank

   HOTSPOT - Select the answer that correctly completes the sentence.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. Object detection https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects 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 object in an image.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

   Next question

8. Question 98 · 236 in bank

   HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   Box 1: Yes - Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way. Box 2: No - A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy. Box 3: No - Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments. Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

   Source: Adapted from community discussion — Rezaphp

   References

   • azure.microsoft.com documentation
   • Microsoft Learn

   

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9. Question 99 · 236 in bank

   You need to develop a mobile app for employees to scan and store their expenses while travelling. Which type of computer vision should you use?

   • Aface detection
   • Bimage classification
   • Cobject detection
   • Doptical character recognition (OCR)

   Show answer

   Answer: D

   References

   • Microsoft Learn

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10. Question 100 · 236 in bank

    HOTSPOT - Select the answer that correctly completes the sentence.

    

    This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

    Show the answer figure

    Answer: See figure below

    Explanation

    Agreed, way too many answers wrong on here.... You can use the Custom Vision service to train an object detection model using your own images. Custom Vision is an Azure Cognitive Service that enables users to easily train and deploy custom computer vision models. It provides a simple, user-friendly interface for uploading and labeling images, and then training a custom model to detect the objects or categories of interest. Computer Vision, on the other hand, provides pre-built models for analyzing images and extracting information about their content, but it doesn't offer the ability to train custom models using your own data. Therefore, Custom Vision is the appropriate service to use if you want to train an object detection model using your own images, as it provides the necessary tools and capabilities to build, train, and deploy custom computer vision models tailored to your specific needs.

    Source: Adapted from community discussion — CADMAN

    References

    • Microsoft Learn

    

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AI-900 practice, question 91. 236 questions available.