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70-774 PDF DEMO:

QUESTION NO: 1
You plan to use the Data Science Virtual Machine for development, but you are unfamiliar with
R scripts.
You need to generate R code for an experiment.
Which IDE should you use?
A. Vowpal Wabbit
B. R Tools for Visual Studio
C. Rattle
D. XgBoost
Answer: A
Explanation
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/provision- vm

QUESTION NO: 2
You are building an Azure Machine Learning experiment.
You need to transform a string column into a label column for a Multiclass Decision Jungle module.
Which module should you use?
A. Convert to Indicator Values
B. Edit Metadata
C. Group Categorical Values
D. Select Columns Transform
Answer: B

QUESTION NO: 3
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 sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are working on an Azure Machine Learning experiment.
You have the dataset configured as shown in the following table.
You need to ensure that you can compare the performance of the models and add annotations to the results.
Solution: You consolidate the output of the Score Model modules by using the Add Rows module, and then use the Execute R Script module.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation
References:
https://msdn.microsoft.com/en-us/library/azure/dn905915.aspx

QUESTION NO: 4
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 have an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: In Azure Mt Studio, you use the Save as dataset option, and then open the output in a new notebook.
Does this meet the goal?
A. No
B. Yes
Answer: B

QUESTION NO: 5
From the Cortana Intelligence Gallery, you deploy a solution.
You need to modify the solution.
What should you use?
A. Azure Machine Learning Studio
B. R Tools for Visual Studio
C. Microsoft Power BI Desktop
D. Azure Stream Analytics
Answer: A
Explanation
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/gallery-experiments

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