Free Microsoft DP-100 Exam Dumps

DragDrop

You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format:

age,city,income,home_owner

21,Chicago,50000,0

35,Seattle,120000,1

23,Seattle,65000,0

45,Seattle,130000,1

18,Chicago,48000,0

You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information:

* the number of observations in the dataset

* a box plot of income by home_owner

* a dictionary containing the city names and the average income for each city

You need to use the appropriate logging methods of the experiment's run object to log the required information.

How should you complete the code? To answer, drag the appropriate code segments to the correct locations. Each code segment 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.

MultipleChoice

You create an Azure Machine Learning workspace.

You must create a custom role named DataScientist that meets the following requirements:

* Role members must not be able to delete the workspace.

* Role members must not be able to create, update, or delete compute resource in the workspace.

* Role members must not be able to add new users to the workspace.

You need to create a JSON file for the DataScientist role in the Azure Machine Learning workspace.

The custom role must enforce the restrictions specified by the IT Operations team.

Which JSON code segment should you use?

A)

B)

C)

D)

DragDrop

You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Create Scatterplot

Summarize Data

Clip Values

You can use the Clip Values module in Azure Machine Learning Studio, to identify and optionally replace data values that are above or below a specified threshold. This is useful when you want to remove outliers or replace them with a mean, a constant, or other substitute value.

References:

MultipleChoice

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply a Equal Width with Custom Start and Stop binning mode.

Does the solution meet the goal?

OrderList

YOU have a data-set that contains over 150 features. You use the dataset to train a Support Vector Machine (SVM) binary classifirer.

You need to use the Permutation Feature Importance module in Azure Machine Learning Studio to compute a set of feature importance scores for the dataset.

In which order should you perform the actions? To answer move al actions from from the list of Actions to the answer area and arrange them in the correct order.

Hotspot

You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column.

*Biker

*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.

MultipleChoice

You plan to use .a Deep learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.

You need to configure the IXVM to support CUOA

What should you implement?

MultipleChoice

You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio.

Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a constant. Type I error as a function of the correlation.

You need to produce the distribution.

Which type of distribution should you produce?

MultipleChoice

You are creating a machine learning model.

You need to identify outliers data.

Which two visualizations can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Hotspot

You are performing sentiment analysis using a CSV file that includes 12.0O0 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and Configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text module to the experiment to extract key phrases from the customer review column in the dataset.

You must create a new n-gram text dictionary from the customer review text and set the maximum n-gram size to trigrams.

You need to configure the Extract N Gram features from Text module.

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

NOTE: Each correct selection is worth one point.