AI-900 practice questions 181–190

1. Question 181 · 236 in bank

   A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types. You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person. This is an example of which type of machine learning?

   • Aclustering
   • Bregression
   • Cclassification

   Show answer

   Answer: C

   Explanation

   This is classification. There are multiple reasons it's classification - The training data is already tagged as with the correct type of hemorrhage - Classification can be done for more than two classes (which people seem to not realize based on the comments) - You do clustering on a group of inputs. For example, the scans of 10 people. You can't cluster a single input. Clearly you get a new scan of a new patient and you want to know what that scan shows, you don't have a group of scans to cluster. - Clustering gives NO labels. You just get groups and don't know what the label is, but in this question it's very clear they want to know the label that belongs to the new scan -> classification

   Source: Adapted from community discussion — 10minexamtopic

   References

   • Microsoft Learn

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2. Question 182 · 236 in bank

   When training a model, why should you randomly split the rows into separate subsets?

   • Ato train the model twice to attain better accuracy
   • Bto train multiple models simultaneously to attain better performance
   • Cto test the model by using data that was not used to train the model

   Show answer

   Answer: C

   References

   • Microsoft Learn

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3. Question 183 · 236 in bank

   Select 2

   You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

   • AUse a graphical user interface (GUI) to run automated machine learning experiments.
   • BCreate a compute instance to use as a workstation.
   • CUse a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
   • DCreate a dataset from a comma-separated value (CSV) file.

   Show answer

   Answer: AC

   Explanation

   This question should not be present in future exams as Enterprise workspace is now fused with Basic. Someone please follow up on this.

   Source: Adapted from community discussion — Nilzuka

   References

   • azure.microsoft.com documentation

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4. Question 184 · 236 in bank

   Select 2

   You need to predict the income range of a given customer by using the following dataset.

   

   Which two fields should you use as features? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

   • AEducation Level
   • BLast Name
   • CAge
   • DIncome Range
   • EFirst Name

   Show answer

   Answer: AC

   Explanation

   AC is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

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5. Question 185 · 236 in bank

   You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use?

   • ACustom Vision
   • BForm Recognizer
   • CFace
   • DComputer Vision

   Show answer

   Answer: A

   Explanation

   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 (which represent classifications or objects) to images, according to their detected visual characteristics. 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 — edengoforit

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6. Question 186 · 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

   Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset Regression is a machine learning task that is used to predict the value of the label from a set of related features. Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

   Source: Adapted from community discussion — gs23mi

   References

   • Microsoft Learn

   

   Next question

7. Question 187 · 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

   Anomaly detection encompasses many important tasks in machine learning: Identifying transactions that are potentially fraudulent. Learning patterns that indicate that a network intrusion has occurred. Finding abnormal clusters of patients. Checking values entered into a system. Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection

   Source: Adapted from community discussion — sumanshu

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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8. Question 188 · 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: No - The validation dataset is different from the test dataset that is held back from the training of the model. Box 2: Yes - A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model's hyperparameters. Box 3: No - The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset. Reference: https://machinelearningmastery.com/difference-test-validation-datasets/

   Source: Adapted from community discussion — AdrienBnhm

   References

   • Microsoft Learn

   

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9. Question 189 · 236 in bank

   Select 2

   What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

   • Acoefficient of determination (R2)
   • BF1 score
   • Croot mean squared error (RMSE)
   • Darea under curve (AUC)
   • Ebalanced accuracy

   Show answer

   Answer: AC

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10. Question 190 · 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

    Regression is a machine learning task that is used to predict the value of the label from a set of related features. Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

    

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AI-900 practice, question 181. 236 questions available.