Microsoft AI-900 Online Practice Questions and Exam Preparation

Microsoft AI-900 Online Questions & Answers

• Question 101:

  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.

  

  

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  Box 1: No

  Build conversational experiences with Power Virtual Agents and Azure Bot Service Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities build conversational AI bots-no code needed.

  Box 2: Yes

  Box 3: Yes

  You can configure your bot to communicate with people via Microsoft Teams.

  References:

  https://azure.microsoft.com/en-us/services/bot-services/#overviewhttps://docs.microsoft.com/en-us/azure/bot-service/channel-connect-teams

• Question 102:

  HOTSPOT

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

  

  

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  Regression is a machine learning task that is used to predict the value of the label from a set of related features.

  References:

  https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

• Question 103:

  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?

  A. Face
  B. Form Recognizer
  C. Text Analytics
  D. Computer Vision
  A. Face

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  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.

  References:

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

• Question 104:

  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.

  

  

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  The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries.

  Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription.

  References:

  https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overviewhttps://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note

• Question 105:

  HOTSPOT

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

  

  

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  References:

  https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features

• Question 106:

  What is an example of a regression model in machine learning?

  A. dividing the student data in a dataset based on the age of the students and their educational achievements
  B. identifying subtypes of spam email by examining a large collection of emails that were flagged by users
  C. predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
  D. identifying population counts of endangered animals by analyzing images
  C. predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house

• Question 107:

  HOTSPOT

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

  

  

  ---

  Regression is a machine learning task that is used to predict the value of the label from a set of related features.

  References:

  https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

• Question 108:

  DRAG DROP

  Match the Azure Cognitive Services to the appropriate AI workloads.

  To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  

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  Box 1: Custom Vision

  The Custom Vision service uses a machine learning algorithm to analyze images. You submit sets of images that have and don't have the visual characteristics you're looking for. Then you label the images with your own custom labels (tags) at the time of submission. The algorithm trains to this data and calculates its own accuracy by testing itself on the same images. Once you've trained your model, you can test, retrain, and eventually use it in your image recognition app to classify images or detect objects.

  Box 2: Form Recognized

  Box 3: Face

  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.

  References:

  https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overviewhttps://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity

• Question 109:

  You need to determine whether customer feedback is positive, negative, or neutral.

  Which type of AI workload should you use?

  A. translation
  B. sentiment analysis
  C. entity recognition
  D. clustering
  B. sentiment analysis

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  Explanation

  Sentiment analysis evaluates text to determine emotional tone, categorizing it as positive, negative, or neutral.

• Question 110:

  You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

  You need to ensure that you only retweet photos that meet the following requirements:

  1. Include one or more faces.

  2. Contain at least one person wearing sunglasses.

  What should you use to analyze the images?

  A. the Verify operation in the Face service
  B. the Detect operation in the Face service
  C. the Describe Image operation in the Computer Vision service
  D. the Analyze Image operation in the Computer Vision service
  B. the Detect operation in the Face service

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  Explanation

  References:

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