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Free Microsoft DP-100 Exam Dumps

Here you can find all the free questions related with Microsoft Designing and Implementing a Data Science Solution on Azure (DP-100) exam. You can also find on this page links to recently updated premium files with which you can practice for actual Microsoft Designing and Implementing a Data Science Solution on Azure Exam. These premium versions are provided as DP-100 exam practice tests, both as desktop software and browser based application, you can use whatever suits your style. Feel free to try the Designing and Implementing a Data Science Solution on Azure Exam premium files for free, Good luck with your Microsoft Designing and Implementing a Data Science Solution on Azure Exam.
Question No: 11

Hotspot

You manage an Azure Machine Learning workspace. You create an experiment named experiment1 by using the Azure Machine Learning Python SDK v2 and MLflow.

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

Question No: 12

MultipleChoice

You create an Azure Machine Learning workspace named workspaces. You create a Python SDK v2 notebook to perform custom model training in wortcspacel. You need to run the notebook from Azure Machine Learning Studio in workspace1. What should you provision first?

Options
Question No: 13

Hotspot

You are preparing to use the Azure ML SDK to run an experiment and need to create compute. You run the following code:

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 No: 14

Hotspot

The finance team asks you to train a model using data in an Azure Storage blob container named finance-data.

You need to register the container as a datastore in an Azure Machine Learning workspace and ensure that an error will be raised if the container does not exist.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question No: 15

DragDrop

An organization uses Azure Machine Learning service and wants to expand their use of machine learning.

You have the following compute environments. The organization does not want to create another compute environment.

You need to determine which compute environment to use for the following scenarios.

Which compute types should you use? To answer, drag the appropriate compute environments to the correct scenarios. Each compute environment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Question No: 16

Hotspot

You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code:

.

Question No: 17

Hotspot

You manage an Azure Machine Learning workspace named workspacel by using the Python SDK v2.

You must register datastores in workspacel for Azure Blob and Azure Data Lake Gen2 storage to meet the following requirements:

* Data scientists accessing the datastore must have the same level of access.

* Access must be restricted to specified containers or folders.

You need to configure a security access method used to register the Azure Blob and Azure Data lake Gen? storage in workspacel. Which security access method should you configure? To answer, select the appropriate options in the answcf area.

NOTE: Each correct selection is worth one point.

Question No: 18

Hotspot

You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:

Bikes

Cars

Vans

Boats

You are building a regression model using the scikit-learn Python package.

You need to transform the text data to be compatible with the scikit-learn Python package.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

:

Question No: 19

Hotspot

You need to set up the Permutation Feature Importance module according to the model training requirements.

Which properties should you select? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

d

Question No: 20

Hotspot

You create an Azure Machine Learning workspace and set up a development environment. You plan to train a deep neural network (DNN) by using the Tensorflow framework and by using estimators to submit training scripts.

You must optimize computation speed for training runs.

You need to choose the appropriate estimator to use as well as the appropriate training compute target configuration.

Which values should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.


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