AI-900 Microsoft Azure AI Fundamentalspopular - Practice Questions - Post 3
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1. HOTSPOT (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
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2. Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process? Each correct answer presents part of the solution. Note: Each correct selection is worth one point.
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Option A: Calculate the accuracy of the model.
Option B: Score test data by using the model.
Option C: Combine multiple datasets.
Option D: Use the model for real-time predictions.
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3. You need to predict the animal population of an area. Which Azure Machine Learning type should you use?
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Option A: regression
Option B: clustering
Option C: classification
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4. Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: Python
Option B: R
Option C: C#
Option D: Scala
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5. HOTSPOT (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
Answer(s):
Explanation:
6. Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?
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Option A: anomaly detection
Option B: conversational AI
Option C: computer vision
Option D: natural language processing
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7. HOTSPOT (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
Answer(s):
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8. In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: Extract the invoice number from an invoice.
Option B: Translate a form from French to English.
Option C: Find image of product in a catalog.
Option D: Identify the retailer from a receipt.
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9. HOTSPOT (Drag and Drop is not supported) Select the answer that correctly completes the sentence. Hot Area:
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Option A: See Explanation section for answer.
Answer(s): 1
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10. HOTSPOT (Drag and Drop is not supported) You have a database that contains a list of employees and their photos. You are tagging new photos of the employees. 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:
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Option A: See Explanation section for answer.
Answer(s): 1
Explanation:
11. 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?
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Option A: semantic segmentation
Option B: image classification
Option C: object detection
Option D: optical character recognition (OCR)
Answer(s): 4
Explanation: Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
12. HOTSPOT (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
Answer(s): 1
Explanation: Box 1: Yes Custom Vision functionality can be divided into two features. Image classification applies one or more labels to an image. Object detection is similar, but it also returns the coordinates in the image where the applied label(s) can be found. Box 2: Yes The Custom Vision service uses a machine learning algorithm to analyze images. You, the developer, 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. Box 3: No Custom Vision service can be used only on graphic files.
13. You are processing photos of runners in a race. You need to read the numbers on the runners' shirts to identity the runners in the photos. Which type of computer vision should you use?
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Option A: facial recognition
Option B: optical character recognition (OCR)
Option C: image classification
Option D: object detection
Answer(s): 2
Explanation: Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.
14. DRAG DROP (Drag and Drop is not supported) Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. Note: Each correct selection is worth one point. Select and Place:
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Option A: See Explanation section for answer.
Answer(s): 1
Explanation: Box 1: Image classification Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled example photos. Box 2: Object detection Object detection is a computer vision problem. While closely related to image classification, object detection performs image classification at a more granular scale. Object detection both locates and categorizes entities within images. Box 3: Semantic Segmentation Semantic segmentation achieves fine-grained inference by making dense predictions inferring labels for every pixel, so that each pixel is labeled with the class of its enclosing object ore region.
15. You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision?
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Option A: object detection
Option B: optical character recognition (OCR)
Option C: scene segmentation
Answer(s): 1
Explanation: Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied. 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. Incorrect Answers: B: Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents. C: Scene segmentation determines when a scene changes in video based on visual cues. A scene depicts a single event and it's composed by a series of consecutive shots, which are semantically related.
16. DRAG DROP (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
Answer(s): 1
Explanation: Box 1: verification Face verification: Check the likelihood that two faces belong to the same person and receive a confidence score. Box 2: similarity Box 3: Grouping Box 4: identification Face detection: Detect one or more human faces along with attributes such as: age, emotion, pose, smile, and facial hair, including 27 landmarks for each face in the image.
17. DRAG DROP (Drag and Drop is not supported) 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:
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21. 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.
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Option A: Train a custom image classification model.
Option B: Detect faces in an image.
Option C: Recognize handwritten text.
Option D: Translate the text in an image between languages.
Answer(s): 2,3
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.
22. What is a use case for classification?
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Option A: predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
Option B: analyzing the contents of images and grouping images that have similar colors
Option C: predicting whether someone uses a bicycle to travel to work based on the distance from home to work
Option D: predicting how many minutes it will take someone to run a race based on past race times
Answer(s): 3
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.
23. 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.
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Option A: Predict stock prices.
Option B: Detect brands in an image.
Option C: Detect the color scheme in an image
Option D: Translate text between languages.
Answer(s): 2,3
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.
24. You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?
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Option A: Face
Option B: Form Recognizer
Option C: Text Analytics
Option D: Computer Vision
Answer(s): 1
Explanation: 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
25. In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. Note: Each correct selection is worth one point.
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Option A: Identify the retailer from a receipt
Option B: Translate from French to English
Option C: Extract the invoice number from an invoice
Option D: Find images of products in a catalog
Answer(s): 1,3
Explanation: https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/overview?tabs=v2-1
26. DRAG DROP (Drag and Drop is not supported) 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:
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Option A: See Explanation section for answer.
Answer(s): 1
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.
27. Which Computer Vision feature can you use to generate automatic captions for digital photographs?
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Option A: Recognize text.
Option B: Identify the areas of interest.
Option C: Detect objects.
Option D: Describe the images.
Answer(s): 4
Explanation: Describe images with human-readable language Computer Vision can analyze an image and generate a human-readable phrase that describes its contents. The algorithm returns several descriptions based on different visual features, and each description is given a confidence score. The final output is a list of descriptions ordered from highest to lowest confidence. The image description feature is part of the Analyze Image API.
28. Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
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Option A: Custom Vision
Option B: Face
Option C: Form Recognizer
Option D: Language
Answer(s): 3
Explanation: Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents.
29. HOTSPOT (Drag and Drop is not supported) Select the answer that correctly completes the sentence. Hot Area:
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