QUESTION: 65

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:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/5-create-training-pipeline https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introduction https://docs.microsoft.com/en-us/learn/modules/create-clustering-model-azure-machine-learning-designer/1-introduction

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QUESTION: 66

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.

Calculate the accuracy of the model.
Score test data by using the model.
Combine multiple datasets.
Use the model for real-time predictions.
Remove records that have missing values.

Answer(s): C,E

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/concept-data-ingestion https://docs.microsoft.com/en-us/azure/architecture/data-science-process/prepare-data

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QUESTION: 67

You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?

regression
clustering
classification

Answer(s): A

Explanation:

Regression is a supervised machine learning technique used to predict numeric values.

Reference:

https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/1-introduction

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QUESTION: 68

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.

Python
R
C#
Scala

Answer(s): A,B

Explanation:

Use Azure Machine Learning designer for customizing using Python and R code.

Reference:

https://azure.microsoft.com/en-us/services/machine-learning/designer/#features

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QUESTION: 65

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QUESTION: 67

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QUESTION: 68

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