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Microsoft Certified: Azure AI Fundamentals
AI-900
Microsoft Azure AI Fundamentals Questions and Answers

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Viewing questions 21-30 out of questions

Questions # 21:

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

Options:

classification

regression

clustering

Answer

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

[Reference:, https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks, , , , ]

Questions # 22:

You use Azure Machine Learning designer to publish an inference pipeline.

Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

the model name

the training endpoint

the authentication key

the REST endpoint

Answer

C, D

Explanation

https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy-service

Questions # 23:

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

Question # 23

Options:

Answer

Answer:

Explanation

[Reference:, https://docs.microsoft.com/en-us/azure/architecture/data-science-process/create-features, , , ]

Questions # 24:

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

dataset

co mpute

pipeline

module

Answer

A, C

Explanation

You can drag-and-drop datasets and modules onto the canvas.

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer, , , , ]

Questions # 25:

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

Question # 25

Options:

Answer

Answer:

Explanation

To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.

Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy, , , , ]

Questions # 26:

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.

Options:

Use a graphical user interface (GUI) to run automated machine learning experiments.

Create a compute instance to use as a workstation.

Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

Create a dataset from a comma-separated value (CSV) file.

Answer

A, C

Explanation

Note: Enterprise workspaces are no longer available as of September 2020. The basic workspace now has all the functionality of the enterprise workspace.

[Reference:, https://www.azure.cn/en-us/pricing/details/machine-learning/, , https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace, , , , ]

Questions # 27:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Question # 27

Options:

Answer

Answer:

Explanation

Box 1: Yes

In machine learning, if you have labeled data, that means your data is marked up, or annotated, to show the target, which is the answer you want your machine learning model to predict.

In general, data labeling can refer to tasks that include data tagging, annotation, classification, moderation, transcription, or processing.

Box 2: No

Box 3: No

Accuracy is simply the proportion of correctly classified instances. It is usually the first metric you look at when evaluating a classifier. However, when the test data is unbalanced (where most of the instances belong to one of the classes), or you are more interested in the performance on either one of the classes, accuracy doesn't really capture the effectiveness of a classifier.

[Reference:, https://www.cloudfactory.com/data-labeling-guide, , https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance, , , , ]

Questions # 28:

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Question # 28

Options:

Answer

Answer:

Explanation

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python, , https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml, , , , ]

Questions # 29:

You have the Predicted vs. True chart shown in the following exhibit.

Question # 29

Which type of model is the chart used to evaluate?

Options:

classification

regression

clustering

Answer

Explanation

What is a Predicted vs. True chart?

Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m, , , , ]

Questions # 30:

Which metric can you use to evaluate a classification model?

Options:

true positive rate

mean absolute error (MAE)

coefficient of determination (R2)

root mean squared error (RMSE)

Answer

Explanation

What does a good model look like?

An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.

[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification, , , , ]

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