Microsoft AI Classroom Series Assessment Answers 2021 [Latest Updated]

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Here you will find ✅✅✅ all the Microsoft AI Classroom Series Assessment Answers 2021 below marked in Green Color. These Microsoft AI Classroom answers have been updated recently with the latest questions asked in the previous examination with full explanations that you will get when you tap on the question.

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Microsoft AI Classroom Series Assessment Answers – Set 1

1. What is the easiest method to define elements of your LUIS model?

  1. ml.azure.ai
  2. Cognitive service portal
  3. LUIS portal
  4. Writing code

2. Which module should you use to provide a simple metric to compare the performance of multiple training models?

  1. Evaluate Model
  2. Score Model
  3. Compare Model
  4. Linear regression

3. Deploying an Al service that monitors people of certain ethnicity for closer inspection in a retail store Is a violation of Microsoft responsible Al principle?

  1. Accountability
  2. Fairness
  3. Transparency
  4. Inclusiveness

4. The residual histogram for a highly accurate machine learning model will have most frequently occurring residual values close to

  1. 1 at the center of residual axis
  2. O at the center of residual axis
  3. None

5. You use the Text Analytics service to perform sentiment analysis on a document, and a score of 0.99 Is returned. What does this score indicate about the document sentiment?

  1. The document is neutral.
  2. The document Is negative.
  3. The document is positive.
  4. None

6. If you consider the concept of ‘Describing an Image’ of Computer Vision, which of the following are correct:

  1. Based on the image content, Computer Vision may return multiple phrases
  2. Each returned phrase will be associated with a confidence score
  3. The phrases will be arranged in ascending order of their confidence score
  4. The phrases will be arranged in descending order of their confidence score

7. What is the maximum file size for the Read API?

  1. 2OMB
  2. 5OMB
  3. 30MB
  4. 2GB

8. The Read API returns a hierarchy of information including

  1. Pages
  2. Lines
  3. Regions
  4. Words

9. You wish to develop an application which can read street signs. Which azure service do you deploy?

  1. Azure Custom Vision
  2. Conversional Al
  3. Azure Computer Vision
  4. machine Learning

10. Which Azure services are used for LUIS?

  1. Speech
  2. Language Understanding
  3. Cognitive service
  4. Custom Al

11. The information that we need to use to access Computer Vision service-

  1. IP address of host
  2. Key
  3. URL
  4. Endpoint

12. Azure ML studio uses which type of datastores?

  1. Blob
  2. Queue
  3. File
  4. Table

13. We are designing an Al solution to monitor meetings and want to know when facial expressions indicate people being angry or scared. Which cognitive service should we use?

  1. Face API
  2. Speech-to-text
  3. Text Analytics
  4. QnA Maker

14. The OCR API in Azure Computer Vision service Is used to scan newspapers and magazines

  1. TRUE
  2. FALSE

15. The ability of a software agent to participate in a conversation is known as

  1. Speech Recognition
  2. Text Analysis
  3. Natural Language processioning
  4. Conversional Al

16. Which Azure service would you deploy to detect a sudden spike in network traffic?

  1. Azure AutoML
  2. Azure Conative services
  3. Azure machine learning
  4. Azure Anomaly detector

17. Computer vision is the best Azure resource for detecting, analyzing and working with Faces

  1. FALSE
  2. TRUE

18. Your organization has an existing frequently asked questions (FAQ) document. You need to create a QnA Maker knowledge base that includes the questions and answers from the FAQ with the least possible effort. What should you do?

  1. Create an empty knowledge base, and then manually copy and paste the FAQ entries into it.
  2. Import a pre-defined chit-chat data source.
  3. Import the existing FAQ document into a new knowledge base.
  4. None

19. You have used a wrong language code in Text Analytics. What sentiment analysis score should you expect?

  1. 1
  2. 0.5
  3. 0
  4. none

20. How do you access the QnAmaker portal?

  1. qnamaker.ai
  2. portal.azure.com
  3. cognitive service
  4. none

21. Which of the following tasks would be a good fit for the Speech-to-Text?

  1. Translating a document written in English into German.
  2. Creating an audio file from a famous quote
  3. Real-time voice-chat transcription from a microphone
  4. none

22. Translator text supports languages.

  1. up to 10
  2. up to 50
  3. more than 60
  4. up to 30

23. You are developing an application or tourists to use as a text-based or audio-based translator. Which Azure services can help?

  1. Text Analytics
  2. Azure Speech
  3. Translator Text
  4. Text Translate

24. How does the translation engine know when an utterance has finished?

  1. User needs to speak the word ‘Stop’.
  2. After a pause in the audio
  3. User presses the spacebar
  4. After 10 words have been spoken.

25. The Text-to-Speech Neural voices leverage Neural networks resulting in a more robotic-sounding voice.

  1. FALSE
  2. TRUE

26. You are planning to build a regression model.You observe that dataset has features with numerical values at different scales. How does it impact when we use dataset unchanged?

  1. It makes no difference. No risk involved
  2. Smaller values in data may lead to higher bias
  3. Larger values in data may lead to higher bias
  4. Algorithm works better when we use data unchanged

27. You wish to develop an application which can take verbal commands. What Azure service should you provision?

  1. LUIS
  2. Speech
  3. Azure Text Analytics
  4. none

28. You want to train a model that classifies images of dogs and cats based on a collection of your own digital photographs. Which Azure service should you use?

  1. Azure Bot Service
  2. Custom Vision
  3. Computer Vision
  4. Azure Machine Learning

29. You want to use the Text Analytics service to determine the key talking points in a text document. Which feature of the service should you use?

  1. Key phrase extraction
  2. Sentiment analysis
  3. Entity detection
  4. None

30. What type of compute resource do you need to deploy AKS in Azure Machine Learning?

  1. Attachment Compute
  2. Compute Node
  3. Inference Cluster
  4. Compute Custer

Microsoft AI Classroom Series Assessment Answers – Set 2

1. You are developing an application that must take English input from a microphone and generate a real-time text-based transcription in Hindi. Which service should you use?

  1. Translator Text
  2. Speech
  3. Text Analytics
  4. QnA Maker

2. What Is the typical minimum number of Compute Cluster nodes recommended for training in a Production environment?

  1. 0
  2. 1
  3. 2
  4. 3

3. You want to use the Text Analytics service to determine the key talking points in a text document. Which feature of the service should you use?

  1. Key phrase extraction
  2. Sentiment analysis
  3. Entity detection
  4. none

4. Which service is used to suggest class and bounding boxes you add to training set after an initial dataset:

  1. Auto-tagging
  2. Smart tagging
  3. tag smart
  4. none

5. How does the translation engine know when an utterance has finished?

  1. User needs to speak the word ‘Stop’.
  2. After a pause in the audio
  3. User presses the spacebar
  4. After 10 words have been spoken.

6. The free tier edition of Read API allows for____ pages, versus ____for the paid version

  1. 2-2,000
  2. 20 -Unlimited
  3. 20-30,000
  4. 2-10,000

7. Which programming languages are supported in Azure machine learning Designer?

  1. Python
  2. R
  3. Scala
  4. C#

8. Image classification can be used for the following use cases

  1. Disaster Investigation
  2. Object Detection
  3. Medical Diagnostics
  4. Production identification

9. You are planning to build a regression model.You observe that dataset has features with numerical values at different scales. How does it Impact when we use dataset unchanged?

  1. It makes no difference. No risk involved
  2. Smaller values in data may lead to higher bias
  3. Larger values in data may lead to higher bias
  4. Algorithm works better when we use data unchanged

10. You have used a wrong language code in Text Analytics. What sentiment analysis score should you expect?

  1. 1
  2. 0.5
  3. 0
  4. None

11. When might you see NaN returned for a score in Language Detection?

  1. When the score calculated by the service is outside the range of 0 to 1
  2. When the language is ambiguous
  3. When the predominant language in the text is mixedwith other languages
  4. none

12. True or False: To generate thumbnails, Computer vision can only change the aspect ratio to fit the target thumbnail dimensions

  1. TRUE
  2. FALSE

13. You use the Text Analytics service to perform sentiment analysis on a document, and a score of 0.99 Is returned. What does this score indicate about the document sentiment?

  1. The document Is neutral.
  2. The document Is negative.
  3. The document is positive.
  4. None

14. You want to use the Speech service to build an application that reads Incoming email message subjects aloud. Which API should you use?

  1. Speech-to-Text
  2. Text-to-Speech
  3. Translate
  4. Text Analytics

15. Computer vision is the best Azure resource for detecting, analyzing and working with Faces

  1. FALSE
  2. TRUE

16. What Is the None intent in LUIS? 

  1. There is no such intent
  2. It is required to handle utterance that do not map to any of the you have entered
  3. It is recommended but not required
  4. it can be renamed as fallback

17. You wish to upload your custom images for an image classification machine learning service you are creating. What options are available to you?

  1. Azure Cognitive service port
  2. Azure Vision API
  3. Custom Vision Portal
  4. Custom Vision SDK

18. An automobile dealership wants to use historic car sales data to traina machine learning model. The model should predict the price of a pre-owned car based on characteristics like its age, engine size, and mileage. What kind of machine learning model does the dealership need to create?

  1. Classification
  2. Clustering
  3. Regression
  4. none

19. You wish to predict property prices based on a known set of features. This Is an example of

  1. Supervised learning
  2. Unsupervised learning
  3. Clustering
  4. Deep learning

20. You are building a machine learning model to determine a local cab price at a specific time of a day using historic data from a cab service database. This is an example of-

  1. Classification
  2. Regression
  3. Clustering
  4. Computer Vision

21. The ability of a software agent to participate in a conversation Is Known as

  1. Speech Recognition
  2. Text Analysis
  3. Natural Language processioning
  4. Conversional Al

22. A model is developed to take medical images as input and decide on whether tumor Is benign or malignant. This is an example of-

  1. Linear Regression
  2. Multiple Regression
  3. Hierarchical Clustering
  4. Classification

23. The Text-to-Speech Neural voices leverage Neural networks resulting Ina more robotic-sounding voice.

  1. FALSE
  2. TRUE

24. You wish to monitor your business’s revenue to be alerted of sudden drops In revenue. Which Azure service would you deploy?

  1. Azure Form Analyzer
  2. Azure Cognitive Service
  3. Azure Auto ML+ Regression
  4. Azure Anomaly detector

25. Microsoft’s responsible Al principles include…?

  1. Accountability
  2. Fairness
  3. Transparency
  4. Inclusiveness

26. You wish to develop an application which can take verbal commands. What Azure service should you provision?

  1. LUIS
  2. Speech
  3. Azure Text Analytics
  4. none

27. For a classification model, uploading images, labeling, training the model and evaluation can be achieved through-

  1. Custom Vision portal
  2. Custom Vision service programming language-SDKs
  3. Al ML Service
  4. none

28. . Consider you run a restaurant. You collect feedback by customers on food, staff, hospitality etc. Customers respond in different languages.you will make use of Text Analytics to detect languages. It reponds with which of the following-

  1. Language Name
  2. ISO 6391 language code
  3. Number of words in the customer response
  4. Whether the review Is postive or negative

29. The residual histogram for a highly accurate machine learning model will have most frequently occurring residual values close to.

  1. 1 at the center of residual axis
  2. O at the center of residual axis
  3. None

30. Read API works best synchronously

  1. FALSE
  2. TRUE

Microsoft AI Classroom Series Answers [Remaining]

1. You want to create a model to predict sales of ice cream based on historic data that includes daily ice cream sales totals and weather measurements. Which Azure service should you use?

  1. Azure Machine Learning

2. You want to train a model that classifies images of dogs and cats based on a collection of your own digital photographs. Which Azure service should you use?

  1. Custom Vision

3. You are designing an AI application that uses computer vision to detect cracks in car windshields, and warns drivers when a windshield should be repaired or replaced. When tested in good lighting conditions, the application successfully detects 99% of dangerously damaged glass. Which of the following statements should you include in the application’s user interface?

  1. When used in good lighting conditions, this application can be used to identify potentially dangerous cracks and defects in windshields. If you suspect your windshield is damaged, even if the application does not detect any defects, you should have it inspected by a professional.

4. An automobile dealership wants to use historic car sales data to train a machine learning model. The model should predict the price of a pre-owned car based on its make, model, engine size, and mileage. What kind of machine learning model should the dealership use automated machine learning to create?

  1. Regression

5. A bank wants to use historic loan repayment records to categorize loan applications as low-risk or high-risk based on characteristics like the loan amount, the income of the borrower, and the loan period. What kind of machine learning model should the dealership use automated machine learning to create?

  1. Classification

6. You want to use automated machine learning to train a regression model with the best possible R2 score. How should you configure the automated machine learning experiment?

  1. Set the Primary metric to R2 score

7. You want to use the Computer Vision service to analyze images. You also want to use the Text Analytics service to analyze text. You want developers to require only one key and endpoint to access all of your services. What kind of resource should you create in your Azure subscription?

  1. Cognitive Services

8. You want to use the Computer Vision service to identify the location of individual items in an image. Which of the following features should you retrieve?

  1. Objects

9. You want to use the Computer Vision service to analyze images of locations and identify well-known buildings? What should you do?

  1. Retrieve the categories for the image, specifying the landmarks domain

10. You want to use the Text Analytics service to determine the key talking points in a text document. Which feature of the service should you use?

  1. Key phrase extraction

11. You use the Text Analytics service to perform sentiment analysis on a document, and a score of 0.99 is returned. What does this score indicate about the document sentiment?

  1. The document is positive.

12. When might you see NaN returned for a score in Language Detection?

  1. When the language is ambiguous

13. Your organization has an existing frequently asked questions (FAQ) document. You need to create a QnA Maker knowledge base that includes the questions and answers from the FAQ with the least possible effort. What should you do?

  1. Import the existing FAQ document into a new knowledge base.

14. You need to deliver a support bot for internal use in your organization. Some users want to be able to submit questions to the bot using Microsoft Teams, others want to use a web chat interface on an internal web site. What should you do?

  1. Create a knowledge base. Then create a bot for the knowledge base and connect the Web Chat and Microsoft Teams channels for your bot

15. You are creating a training pipeline for a regression model, using a dataset that has multiple numeric columns in which the values are on different scales. You want to transform the numeric columns so that the values are all on a similar scale based relative to the minimum and maximum values in each column. Which module should you add to the pipeline?

  1. Normalize Data

16. You use Azure Machine Learning designer to create a training pipeline and an inference pipeline for a regression model. Now you plan to deploy the inference pipeline as a real-time service. What kind of compute target should you create to host the service?

  1. Inference Cluster

17. You are using Azure Machine Learning designer to create a training pipeline for a binary classification model. You have added a dataset containing features and labels, a Two-Class Decision Forest module, and a Train Model module. You plan to use Score Model and Evaluate Model modules to test the trained model with a subset of the dataset that was not used for training. Which additional kind of module should you add?

  1. Split Data

18. You use an Azure Machine Learning designer pipeline to train and test a binary classification model. You review the model’s performance metrics in an Evaluate Model module, and note that it has an AUC score of 0.3. What can you conclude about the model?

  1. The model performs worse than random guessing.

19. You use Azure Machine Learning designer to create a training pipeline for a classification model. What must you do before deploying the model as a service?

  1. Create an inference pipeline from the training pipeline

20. You are using an Azure Machine Learning designer pipeline to train and test a K-Means clustering model. You want your model to assign items to one of three clusters. Which configuration property of the K-Means Clustering module should you set to accomplish this?

  1. Set Number of Centroids to 3

21. You use Azure Machine Learning designer to create a training pipeline for a clustering model. Now you want to use the model in an inference pipeline. Which module should you use to infer cluster predictions from the model?

  1. Assign Data to Clusters

22. You plan to use the Custom Vision service to train an image classification model. You want to create a resource that can only be used for model training, and not for prediction. Which kind of resource should you create in your Azure subscription?

  1. Custom Vision

23. You train an image classification model that achieves less than satisfactory evaluation metrics. How might you improve it?

  1. Add more images to the training set.

24. You have published an image classification model. What information must you provide to developers who want to use it?

  1. The project ID, the model name, and the key and endpoint for the prediction resource

25. Which of the following results does an object detection model typically return for an image?

  1. A class label, probability, and bounding box for each object in the image

26. You plan to use a set of images to train an object detection model, and then publish the model as a predictive service. You want to use a single Azure resource with the same key and endpoint for training and prediction. What kind of Azure resource should you create?

  1. Cognitive Services

27. You plan to use Face to detect human faces in an image. How does the service indicate the location of the faces it detects?

  1. A set of coordinates for each face, defining a rectangular bounding box around the face

28. What is one aspect that may impair facial detection?

  1. Extreme angles

29. You want to use Face to identify named individuals. What must you do?

  1. Use Face to create a group containing multiple images of each named individual, and train a model based on the group

30. You want to extract text from images and then use the Text Analytics service to analyze the text. You want developers to require only one key and endpoint to access all of your services. What kind of resource should you create in your Azure subscription?

  1. Cognitive Services

31. You plan to use the Computer Vision service to read text in a large PDF document. Which API should you use?

  1. The Read API

32. You plan to use the Form Recognizer pre-built receipt model. Which kind of Azure resource should you create?

  1. Form Recognizer

33. You are using the Form Recognizer service to analyze receipts that you have scanned into JPG format images. What is the maximum file size of JPG file you can submit to the pre-built receipt model?

  1. 20 MB

34. You plan to build an application that uses the Speech service to transcribe audio recordings of phone calls into text, and then submits the transcribed text to the Text Analytics service to extract key phrases. You want to manage access and billing for the application services in a single Azure resource. Which type of Azure resource should you create?

  1. Cognitive Services

35. You want to use the Speech service to build an application that reads incoming email message subjects aloud. Which API should you use?

  1. Text-to-Speech

36. You are developing an application that must take English input from a microphone and generate a real-time text-based transcription in Hindi. Which service should you use?

  1. Speech

37. You need to use the Translator Text service to translate email messages from Spanish into both English and French? What is the most efficient way to accomplish this goal?

  1. Make a single call to the service; specifying a “from” language of “es”, a “to” language of “en”, and another “to” language of “fr”.

38. You need to provision an Azure resource that will be used to author a new Language Understanding application. What kind of resource should you create?

  1. Language Understanding

39. You are authoring a Language Understanding application to support an international clock. You want users to be able to ask for the current time in a specified city, for example “What is the time in London?”. What should you do?

  1. Define a “city” entity and a “GetTime” intent with utterances that indicate the city intent.

40. You have published your Language Understanding application. What information does a client application developer need to get predictions from it?

  1. The endpoint and key for the application’s prediction resource

41. Anomaly detector is stateful.

  1. False

42. We are designing an AI solution to monitor meetings and want to know when facial expressions indicate people being angry or scared. Which cognitive service should we use?

  1. Face API

43. You train an image classification model that achieves less than satisfactory evaluation metrics? How might you improve it?

  1. Add more images to the training set

44. You open gallery section in your mobile phone and see that thumbnails are generated for images. This is a capability of-

  1. Computer Vision

45. __ can be used for medical imaging diagnosis.

  1. Image Classification

46. Having AI developers working within a framework of governance and organizational principles that ensure the solution meets ethical and legal standards, is an example of which Microsoft responsible AI principle?

  1. Accountability

47. The technique to iteratively test a trained model with data it wasn’t trained with and compare the predicted value with the actual known value is known as __

  1. Residuals

48. The free tier edition of Read API allows for _ pages, versus __ for the paid version

  1. 2,2000

49. Which feature of Azure provides the capability to deploy an AI solution without having to code?

  1. Azure Machine learning designer

50. Which Azure service should you use to determine if a portrait of a person is in color or black-and-white?

  1. Computer Vision

51. Which Azure service helps you develop a chat bot to take the load off your call center staff?

  1. QnA Maker with Bot Service

52. Which Azure service is best for detecting popular brand logos?

  1. Computer Vision

53. If you create a Cognitive Services resource, client applications need different keys and endpoint for different service they use.

  1. True

54. OCR API works best asynchronously.

  1. True

55. A model is developed to take medical images as input and decide on whether tumor is benign or malignant. This is an example of-

  1. Classification

56. You wish to develop an application for tourists which they can use as a text or audio-based translator. Azure services that can help are-

  1. Azure Speech

57. Which type of datastores are created by Azure machine learning studio?

  1. Azure Blog Storage

58. Read API returns a hierarchy of information including __

  1. Pages

59. Classification machine learning models use a set of inputs known as-

  1. Features

60. How does the translation engine know when an utterance has finished?

  1. After a pause in the audio

61. You are developing an application for tourists to use as a text-based or audio-based translator. Which Azure services can help?

  1. Azure speech

62. You wish to upload your custom images for an image classification machine learning service you are creating. What options are available to you?

  1. Custom Vision Portal

63. Which Azure service supports both real-time and batch-based processing?

  1. Speech to text

64. Which of the following tasks would be a good fit for the Speech-to-Text?

  1. Real time voice-char transcription from a microphone

65. Which Azure services are used for LUIS?

  1. Language Understanding

66. Azure Custom Vision portal is accessed through _

  1. https://customvision.ai

67. An automobile dealership wants to use historic car sales data to train a machine learning model. The model should predict the price of a pre-owned car based on characteristics like its age, engine size, and mileage. What kind of machine learning model does the dealership need to create?

  1. Regression

68. You are configuring a LUIS service. Identify the entity(s) in the following voice command: “Computer, switch on the lights in the living room”

  1. Living Room

69. Which module should you use to provide a simple metric to compare the performance of multiple training models?

  1. Evaluate Model

70. Which key steps form part of the Authoring phase of LUIS?

  1. Creating Entities

71. Which service is used to suggest class and bounding boxes you add to training set after an initial dataset:

  1. tag smart

72. Classification is an example of __ machine learning.

  1. Supervised

73. You are capturing images in which texts are dominant. You are using an API which is now returning false positives. Which API are you currently using?

  1. OCR API

74. Your organization has an existing frequently asked questions (FAQ) document. You need to create a QnA Maker knowledge base that includes the questions and answers from the FAQ with the least possible effort. What should you do?

  1. Import the existing FAQ document into a new knowledge base.

75. You wish to develop an application which can read street signs. Which azure service do you deploy?

  1. Azure Computer Vision

76. Paid subscription version of the Form Recognizer supports up to _ pages and a maximum of _ lines per page.

  1. 400 Pages

77. Microsoft’s responsible AI principles include…?

  1. Fairness

78. Image classification can be used for the following use cases

  1. Object Detection

79. What is the typical minimum number of Compute Cluster nodes recommended for training in a Production environment?

  1. 2

80. You need to ensure your AI-based application users are aware of the limitations of your app. This is an example of which Microsoft responsible AI principle?

  1. Transparency

81. If you consider the concept of ‘Describing an Image’ of Computer Vision, which of the following are correct:

  1. descending order

82. You are developing an application for the visually impaired. Your application will read text books out loud. Which Azure services can you use?

  1. Speech

83. What is the easiest method to define elements of your LUIS model?

  1. LUIS Portal

84. Read API works best synchronously.

  1. False

85. OCR API works best synchronously.

  1. True

86. Computer vision is the best Azure resource for detecting, analyzing and working with Faces.

  1. False

87. The ability to automatically detect sudden spikes in a time-series based data is known as….?

  1. Anomaly Detection

88. The OCR API returns a hierarchy of information including __

  1. Pages

89. You wish to separate your training and prediction resources for classifying your own images. Which service works best?

  1. Custom Vision

90. What is the best way to access Azure Machine Learning studio?

  1. ml.azure.com

91. Deploying an Al service that monitors people of certain ethnicity for closer inspection in a retail store Is a violation of Microsoft responsible Al principle?

  1. Inclusiveness

92. The residual histogram for a highly accurate machine learning model will have most frequently occurring residual values close to

  1. O at the center of residual axis

93. If you consider the concept of ‘Describing an Image’ of Computer Vision, which of the following are correct:

  1. The phrases will be arranged in descending order of their confidence score

94. The information that we need to use to access Computer Vision service-

  1. Key or Endpoint

95. We are designing an Al solution to monitor meetings and want to know when facial expressions indicate people being angry or scared. Which cognitive service should we use?

  1. Face API

96. The OCR API in Azure Computer Vision service Is used to scan newspapers and magazines.

  1. True

97. The ability of a software agent to participate in a conversation is known as

  1. Conversional Al

98. Which Azure service would you deploy to detect a sudden spike in network traffic?

  1. Azure Anomaly detector

99. You have used the wrong language code in Text Analytics. What sentiment analysis score should you expect?

  1. 0

100. How do you access the QnAmaker portal?

  1. qnamaker.ai

101. Translator text supports languages.

  1. more than 60

102. You are developing an application or tourists to use as a text-based or audio-based translator. Which Azure services can help?

  1. Translator Text

103. The Text-to-Speech Neural voices leverage Neural networks resulting in a more robotic-sounding voice.

  1. True

104. You are planning to build a regression model.You observe that the dataset has features with numerical values at different scales. How does it impact when we use the dataset unchanged?

  1. Larger values in data may lead to higher bias

105. You wish to develop an application which can take verbal commands. What Azure service should you provision?

  1. Speech

106. What type of compute resource do you need to deploy AKS in Azure Machine Learning?

  1. Compute Node

107. Which programming languages are supported in Azure machine learning Designer?

  1. Python

108. True or False: To generate thumbnails, Computer vision can only change the aspect ratio to fit the target thumbnail dimensions.

  1. False

109. What Is the None intent in LUIS?

  1. It is required to handle utterance that do not map to any of the you have entered

110. You wish to predict property prices based on a known set of features. This Is an example of

  1. Supervised learning

111. You are building a machine learning model to determine a local cab price at a specific time of a day using historical data from a cab service database. This is an example of-

  1. Regression

112. You wish to monitor your business’s revenue to be alerted of sudden drops In revenue. Which Azure service would you deploy?

  1. Azure Anomaly detector

113. Microsoft’s responsible Al principles include…?

  1. Fairness

114. For a classification model, uploading images, labeling, training the model and evaluation can be achieved through-

  1. Custom Vision service programming language-SDKs

115. Consider you run a restaurant. You collect feedback by customers on food, staff, hospitality etc. Customers respond in different languages.you will make use of Text Analytics to detect languages. It responds with which of the following-

  1. ISO 6391 language code

116. is often the foundation for any AI system by which it is trained to make predictions.

  1. Machine Learning

117. The Root Mean Squared Error (RMSE) is based on the same units as the label.

  1. True

118. You wish to translate a text in French into an audible from in English. Which Azure service can you use?

  1. Translator Text

119. You have been asked to create an image recognition service. A requirement is to provide reporting on training costs for the model. Which service should you deploy?

  1. Custom Vision

120. Azure resource Computer Vision also includes Cognitive Services to implement AI related applications.

  1. True

121. Which type of bot template would we use for a bot that distills semi-structured data into distinct, helpful answers?

  1. Q & A

122. You have used Custom Vision and have provided your app developers with the required Endpoint(s) and Key(s). Developers are concerned that they have multiple sets of Endpoints and Keys. This is a valid concern.

  1. True

123. Can you use QnAmaker and the resulting bot to interact through email channel?

  1. Yes

124. Image classification is used to describe an image and object classification is used to group similar objects.

  1. True

125. You are creating a Company Expense claim application. You wish to train a machine learning model using your own expense claim forms and labeled data. This is an example of

  1. Supervised Learning

126. You wish to develop a reservation system for restaurant, which of the following services would you need?

  1. Azure QnA

127. Which of the following types of machine learning is an example of unsupervised machine learning?

  1. Clustering

128. Azure ML studio uses which type of datastores?

  1. Blob

129. Which of the following services returns a bounding box coordinates?

  1. Object Detection

130. What is the maximum File size that Form Recognizer can use?

  1. 20GB

131. The process of changing all feature values in a dataset to be on a common scale is known as __

  1. Data Normalization

132. Deploying an AI service that monitors people of certain ethnicity for closer inspection in a retail store is a violation of which Microsoft responsible AI principle?

  1. Fairness

133. What is the maximum file size for the Read API?

  1. 20MB

134. We are designing an AI solution to monitor meetings and convert spoken conversation to text. Which cognitive service should we use?

  1. Speech-to-text

135. What are the key features of Azure Machine Learning service?

  1. Automated Machine Learning

136. Which service has capability to detect printed and handwritten text in images

  1. Computer Vision – OCR

137. What percentage of the class predictions made by the model were correct’ which evaluation metric is this?

  1. Precision

138. The Read API returns a hierarchy of information including __

  1. Pages

139. You wish to design a home automation system that works through Voice input and provides voice replies to the users. Which Azure services are available to use?

  1. Speech

140. You observe that your text is comprising of words from multiple languages. Text Analytics service outputs which language?

  1. English by default

141. Computer Vision supports the following domain models:

  1. Celebrities

142. Which image content types are detected by Azure Computer vision services?

  1. Clip art or Line drawing

143. You are using Translator Text and have noticed some Brand names are also translated. Can this be fixed?

  1. Yes, There is built in selective options

144. You are trying to use various data points to predict the price of a property. What are the data points referred to in machine learning?

  1. Features

145. You have been asked to develop a “Passport photo” quality check service to ensure uploaded photos in which the applicant is wearing glasses, are rejected. Which Azure service should you use?

  1. Face Service

146. You configure Azure machine learning workspace. Which additional resources are configured automatically?

  1. Storage Account

147. Ensuring users are aware of limitations of AI-based applications they are using is an example of which Responsible AI principle?

  1. Transparency

148. What are some of the key elements of AI?

  1. Machine Learning

149. You work for an insurance company. You have been asked to develop an application that places clients into High, Medium, or Low risk categories. Which machine learning model should you use?

  1. Clustering

150. You wish to use Azure Machine Learning in Dev & Test environment. ACI deployment offers the right solution.

  1. True

151. If we want to build an app that identifies celebrities in images, which Cognitive Services API would we utilize?

  1. Computer Vision

152. The ability to classify individual pixels in an image according to the object to which they belong is known as:

  1. Semantic Segmentation

Microsoft AI Classroom Series Assessment FAQ

Are These Microsoft AI Classroom Assessment Answers Correct?

Yes, all these answers are 100% correct.Are These Questions Are Latest One?

Yes, all these questions are the latest ones to make your experience better I keep on updating the article with the latest answers so make sure to check bookmark the page.Will I get a free certificate?

Yes, at the end of the exam when you pass with min score you will be awarded a free certificate.How To Find The Microsoft AI Answers?

Use CTRL + F or Find In Page option to find the answer of the question you are seeking.

Conclusion

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  831. Equilibrado de piezas
    El Equilibrado de Piezas: Clave para un Funcionamiento Eficiente

    ¿Alguna vez has notado vibraciones extrañas en una máquina? ¿O tal vez ruidos que no deberían estar ahí? Muchas veces, el problema está en algo tan básico como una falta de simetría en un elemento móvil. Y créeme, ignorarlo puede costarte caro .

    El equilibrado de piezas es una tarea fundamental tanto en la fabricación como en el mantenimiento de maquinaria agrícola, ejes, volantes, rotores y componentes de motores eléctricos . Su objetivo es claro: prevenir movimientos indeseados capaces de generar averías importantes con el tiempo .

    ¿Por qué es tan importante equilibrar las piezas?
    Imagina que tu coche tiene una llanta mal nivelada . Al acelerar, empiezan las vibraciones, el volante tiembla, e incluso puedes sentir incomodidad al conducir . En maquinaria industrial ocurre algo similar, pero con consecuencias considerablemente más serias:

    Aumento del desgaste en soportes y baleros
    Sobrecalentamiento de componentes
    Riesgo de fallos mecánicos repentinos
    Paradas sin programar seguidas de gastos elevados
    En resumen: si no se corrige a tiempo, una mínima falla podría derivar en una situación compleja.

    Métodos de equilibrado: cuál elegir
    No todos los casos son iguales. Dependiendo del tipo de pieza y su uso, se aplican distintas técnicas:

    Equilibrado dinámico
    Ideal para piezas que giran a alta velocidad, como rotores o ejes . Se realiza en máquinas especializadas que detectan el desequilibrio en varios niveles simultáneos. Es el método más fiable para lograr un desempeño estable.
    Equilibrado estático
    Se usa principalmente en piezas como ruedas, discos o volantes . Aquí solo se corrige el peso excesivo en una única dirección. Es rápido, fácil y funcional para algunos equipos .
    Corrección del desequilibrio: cómo se hace
    Taladrado selectivo: se perfora la región con exceso de masa
    Colocación de contrapesos: tal como en neumáticos o perfiles de poleas
    Ajuste de masas: típico en bielas y elementos estratégicos
    Equipos profesionales para detectar y corregir vibraciones
    Para hacer un diagnóstico certero, necesitas herramientas precisas. Hoy en día hay opciones accesibles y muy efectivas, como :

    ✅ Balanset-1A — Tu compañero compacto para medir y ajustar vibraciones

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  835. El Equilibrado de Piezas: Clave para un Funcionamiento Eficiente

    ¿Alguna vez has notado vibraciones extrañas en una máquina? ¿O tal vez ruidos que no deberían estar ahí? Muchas veces, el problema está en algo tan básico como un desequilibrio en alguna pieza rotativa . Y créeme, ignorarlo puede costarte más de lo que imaginas.

    El equilibrado de piezas es una tarea fundamental tanto en la fabricación como en el mantenimiento de maquinaria agrícola, ejes, volantes, rotores y componentes de motores eléctricos . Su objetivo es claro: prevenir movimientos indeseados capaces de generar averías importantes con el tiempo .

    ¿Por qué es tan importante equilibrar las piezas?
    Imagina que tu coche tiene una rueda desequilibrada . Al acelerar, empiezan las sacudidas, el timón vibra y resulta incómodo circular así. En maquinaria industrial ocurre algo similar, pero con consecuencias aún peores :

    Aumento del desgaste en soportes y baleros
    Sobrecalentamiento de partes críticas
    Riesgo de colapsos inesperados
    Paradas no planificadas y costosas reparaciones
    En resumen: si no se corrige a tiempo, un pequeño desequilibrio puede convertirse en un gran dolor de cabeza .

    Métodos de equilibrado: cuál elegir
    No todos los casos son iguales. Dependiendo del tipo de pieza y su uso, se aplican distintas técnicas:

    Equilibrado dinámico
    Ideal para piezas que giran a alta velocidad, como rotores o ejes . Se realiza en máquinas especializadas que detectan el desequilibrio en múltiples superficies . Es el método más fiable para lograr un desempeño estable.
    Equilibrado estático
    Se usa principalmente en piezas como neumáticos, discos o volantes de inercia. Aquí solo se corrige el peso excesivo en un plano . Es ágil, práctico y efectivo para determinados sistemas.
    Corrección del desequilibrio: cómo se hace
    Taladrado selectivo: se elimina material en la zona más pesada
    Colocación de contrapesos: por ejemplo, en llantas o aros de volantes
    Ajuste de masas: habitual en ejes de motor y partes relevantes
    Equipos profesionales para detectar y corregir vibraciones
    Para hacer un diagnóstico certero, necesitas herramientas precisas. Hoy en día hay opciones disponibles y altamente productivas, por ejemplo :

    ✅ Balanset-1A — Tu asistente móvil para analizar y corregir oscilaciones

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  837. Solución rápida de equilibrio:
    Reparación ágil sin desensamblar

    Imagina esto: tu rotor comienza a vibrar, y cada minuto de inactividad afecta la productividad. ¿Desmontar la máquina y esperar días por un taller? Olvídalo. Con un equipo de equilibrado portátil, solucionas el problema in situ en horas, sin alterar su posición.

    ¿Por qué un equilibrador móvil es como un “paquete esencial” para máquinas rotativas?
    Pequeño, versátil y eficaz, este dispositivo es el recurso básico en cualquier intervención. Con un poco de práctica, puedes:
    ✅ Prevenir averías mayores al detectar desbalances.
    ✅ Evitar paradas prolongadas, manteniendo la producción activa.
    ✅ Trabajar en lugares remotos, desde plataformas petroleras hasta plantas eólicas.

    ¿Cuándo es ideal el equilibrado rápido?
    Siempre que puedas:
    – Contar con visibilidad al sistema giratorio.
    – Ubicar dispositivos de medición sin inconvenientes.
    – Modificar la distribución de masa (agregar o quitar contrapesos).

    Casos típicos donde conviene usarlo:
    La máquina rueda más de lo normal o emite sonidos extraños.
    No hay tiempo para desmontajes (producción crítica).
    El equipo es costoso o difícil de detener.
    Trabajas en campo abierto o lugares sin talleres cercanos.

    Ventajas clave vs. llamar a un técnico
    | Equipo portátil | Servicio externo |
    |—————-|——————|
    | ✔ Rápida intervención (sin demoras) | ❌ Retrasos por programación y transporte |
    | ✔ Mantenimiento proactivo (previenes daños serios) | ❌ Solo se recurre ante fallos graves |
    | ✔ Reducción de costos operativos con uso continuo | ❌ Costos recurrentes por servicios |

    ¿Qué máquinas se pueden equilibrar?
    Cualquier sistema rotativo, como:
    – Turbinas de vapor/gas
    – Motores industriales
    – Ventiladores de alta potencia
    – Molinos y trituradoras
    – Hélices navales
    – Bombas centrífugas

    Requisito clave: espacio para instalar sensores y realizar ajustes.

    Tecnología que simplifica el proceso
    Los equipos modernos incluyen:
    Software fácil de usar (con instrucciones visuales y automatizadas).
    Diagnóstico instantáneo (visualización precisa de datos).
    Autonomía prolongada (ideales para trabajo en campo).

    Ejemplo práctico:
    Un molino en una mina comenzó a vibrar peligrosamente. Con un equipo portátil, el técnico localizó el error rápidamente. Lo corrigió añadiendo contrapesos y ahorró jornadas de inactividad.

    ¿Por qué esta versión es más efectiva?
    – Estructura más dinámica: Listas, tablas y negritas mejoran la legibilidad.
    – Enfoque práctico: Se añaden ejemplos reales y comparaciones concretas.
    – Lenguaje persuasivo: Frases como “recurso vital” o “previenes consecuencias críticas” refuerzan el valor del servicio.
    – Detalles técnicos útiles: Se especifican requisitos y tecnologías modernas.

    ¿Necesitas ajustar el tono (más técnico) o añadir keywords específicas? ¡Aquí estoy para ayudarte! ️

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  838. La Nivelación de Partes Móviles: Esencial para una Operación Sin Vibraciones

    ¿ En algún momento te has dado cuenta de movimientos irregulares en una máquina? ¿O tal vez escuchaste ruidos anómalos? Muchas veces, el problema está en algo tan básico como una irregularidad en un componente giratorio . Y créeme, ignorarlo puede costarte caro .

    El equilibrado de piezas es una tarea fundamental tanto en la fabricación como en el mantenimiento de maquinaria agrícola, ejes, volantes, rotores y componentes de motores eléctricos . Su objetivo es claro: impedir oscilaciones que, a la larga, puedan provocar desperfectos graves.

    ¿Por qué es tan importante equilibrar las piezas?
    Imagina que tu coche tiene una rueda desequilibrada . Al acelerar, empiezan las sacudidas, el timón vibra y resulta incómodo circular así. En maquinaria industrial ocurre algo similar, pero con consecuencias considerablemente más serias:

    Aumento del desgaste en bearings y ejes giratorios
    Sobrecalentamiento de partes críticas
    Riesgo de colapsos inesperados
    Paradas no planificadas y costosas reparaciones
    En resumen: si no se corrige a tiempo, un pequeño desequilibrio puede convertirse en un gran dolor de cabeza .

    Métodos de equilibrado: cuál elegir
    No todos los casos son iguales. Dependiendo del tipo de pieza y su uso, se aplican distintas técnicas:

    Equilibrado dinámico
    Ideal para piezas que giran a alta velocidad, como rotores o ejes . Se realiza en máquinas especializadas que detectan el desequilibrio en varios niveles simultáneos. Es el método más preciso para garantizar un funcionamiento suave .
    Equilibrado estático
    Se usa principalmente en piezas como llantas, platos o poleas . Aquí solo se corrige el peso excesivo en una única dirección. Es rápido, fácil y funcional para algunos equipos .
    Corrección del desequilibrio: cómo se hace
    Taladrado selectivo: se quita peso en el punto sobrecargado
    Colocación de contrapesos: tal como en neumáticos o perfiles de poleas
    Ajuste de masas: habitual en ejes de motor y partes relevantes
    Equipos profesionales para detectar y corregir vibraciones
    Para hacer un diagnóstico certero, necesitas herramientas precisas. Hoy en día hay opciones disponibles y altamente productivas, por ejemplo :

    ✅ Balanset-1A — Tu asistente móvil para analizar y corregir oscilaciones

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  839. Comercializamos equipos de equilibrio!
    Fabricamos directamente, construyendo en tres naciones simultáneamente: Portugal, Argentina y España.
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