AI-900 practice questions 221–230

1. Question 221 · 236 in bank

   DRAG DROP - Match the types of computer vision workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Select and Place:

   

   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: Facial recognition - Face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images. Box 2: OCR - Box 3: Objection detection - 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://azure.microsoft.com/en-us/services/cognitive-services/face/ https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

   

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2. Question 222 · 236 in bank

   You need to determine the location of cars in an image so that you can estimate the distance between the cars. Which type of computer vision should you use?

   • Aoptical character recognition (OCR)
   • Bobject detection
   • Cimage classification
   • Dface detection

   Show answer

   Answer: B

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3. Question 223 · 236 in bank

   HOTSPOT - To complete the sentence, select the appropriate option in the answer area. 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

   Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply. Note: The Custom Vision service uses a machine learning algorithm to apply labels to images. You, the developer, must submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then the algorithm trains to this data and calculates its own accuracy by testing itself on those same images. Once the algorithm is trained, you can test, retrain, and eventually use it to classify new images according to the needs of your app. You can also export the model itself for offline use. Incorrect Answers: Computer Vision: 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. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home

   Source: Adapted from community discussion — gargaditya

   References

   • Microsoft Learn

   

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4. Question 224 · 236 in bank

   You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

   

   Which type of computer vision was used?

   • Aobject detection
   • Bface detection
   • Coptical character recognition (OCR)
   • Dimage classification

   Show answer

   Answer: A

   Explanation

   Object detection vs. image classification Image classification is a machine learning based form of computer vision in which a model is trained to categorize images based on the primary subject matter they contain. Object detection goes further than this to classify individual objects within the image, and to return the coordinates of a bounding box that indicates the object's location. Notice that an object detection model returns the following information: • The class of each object identified in the image. • The probability score of the object classification (which you can interpret as the confidence of the predicted class being correct) • The coordinates of a bounding box for each object.

   Source: Adapted from community discussion — varun1306

   References

   • Microsoft Learn

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5. Question 225 · 236 in bank

   Select 2

   What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

   • ATrain a custom image classification model.
   • BDetect faces in an image.
   • CRecognize handwritten text.
   • DTranslate the text in an image between languages.

   Show answer

   Answer: BC

   Explanation

   BC correct as given. --------------- Microsoft Azure provides multiple cognitive services that you can use to detect and analyze faces, including: **Computer Vision, which offers face detection and some basic face analysis, such as determining age. **Video Indexer, which you can use to detect and identify faces in a video. **Face, which offers pre-built algorithms that can detect, recognize, and analyze faces. Of these, Face offers the widest range of facial analysis capabilities, so we'll focus on that service in this module. ------------------ The ability to extract text from images is handled by the Computer Vision service, which also provides image analysis capabilities. The Computer Vision service provides two application programming interfaces (APIs) that you can use to read text in images: the OCR API and the Read API.

   Source: Adapted from community discussion — gargaditya

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6. Question 226 · 236 in bank

   What is a use case for classification?

   • Apredicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
   • Banalyzing the contents of images and grouping images that have similar colors
   • Cpredicting whether someone uses a bicycle to travel to work based on the distance from home to work
   • Dpredicting how many minutes it will take someone to run a race based on past race times

   Show answer

   Answer: C

   Explanation

   this sis wrong again. Grouping of objects with similar colors is clustering and not classification. Classification is point 3 where we will predict whether the person will go to office by cycle (answer - yes or no - hence clasification) depending on the distance

   Source: Adapted from community discussion — ashayk

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7. Question 227 · 236 in bank

   Select 2

   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.

   • APredict stock prices.
   • BDetect brands in an image.
   • CDetect the color scheme in an image
   • DTranslate text between languages.
   • EExtract key phrases.

   Show answer

   Answer: BC

   Explanation

   Detech Color scheme and Brand images are correct based on Detect the color scheme 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. Detect the color scheme and Azure's Computer Vision service gives you 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.

   Source: Adapted from community discussion — wreck

   References

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

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8. Question 228 · 236 in bank

   DRAG DROP - Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Select and Place:

   

   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: Reliability and safety - To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation. Box 2: Accountability - The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people's lives and that humans maintain meaningful control over otherwise highly autonomous AI systems. Box 3: Privacy and security - As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used Reference: https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

   Source: Adapted from community discussion — imcee_

   References

   • Microsoft Learn
   • Microsoft Learn

   

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9. Question 229 · 236 in bank

   DRAG DROP - Match the facial recognition tasks to the appropriate questions. To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Select and Place:

   

   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: verification - Identity verification - Modern enterprises and apps can use the Face identification and Face verification operations to verify that a user is who they claim to be. Box 2: similarity - The Find Similar operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face. This is useful for doing a face search by image. The service supports two working modes, matchPerson and matchFace. The matchPerson mode returns similar faces after filtering for the same person by using the Verify API. The matchFace mode ignores the same-person filter. It returns a list of similar candidate faces that may or may not belong to the same person. Box 3: identification - Face identification can address "one-to-many" matching of one face in an image to a set of faces in a secure repository. Match candidates are returned based on how closely their face data matches the query face. This scenario is used in granting building or airport access to a certain group of people or verifying the user of a device. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview

   

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10. Question 230 · 236 in bank

    Which Computer Vision feature can you use to generate automatic captions for digital photographs?

    • ARecognize text.
    • BIdentify the areas of interest.
    • CDetect objects.
    • DDescribe the images.

    Show answer

    Answer: D

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Keyboard:J Kmove between questionsA–Dselect an answerRshow or hide the answer← →change page

AI-900 practice, question 221. 236 questions available.