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Microsoft 70-773: Analyzing Big Data with Microsoft R Exam

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Microsoft 70-773: Analyzing Big Data with Microsoft R Exam
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38 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

You have a Microsoft SQL Server instance that has R Services (In-Database) installed.

You need to monitor the R jobs that are sent to SQL Server.

Solution: You create an events trace configuration file and place the file in the same directory as the BXLServer process.

Does this meet the goal?

Yes

No

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

You have a dataset.

You need to repeatedly split randomly the dataset so that 80 percent of the data is used as a training set and the remaining 20 percent is used as a test set.

Which method should you use?

threshold

binary classification

imputation

cross validation

pruning

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You have a Microsoft SQL Server instance that has R Services (In-Database) installed.

You need to monitor the R jobs that are sent to SQL Server.

Solution: You register an Extended Events package.

Does this meet the goal?

Yes

No

4.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

You need to calculate a measure of central tendency and variability for the variables in a dataset that is grouped by using another categorical variable.

What should you use?

the rxCrossTabs function

the rxHistogram function

the rxSummary function

the rxQuantile function

the rxCube function

5.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image

You are developing a Microsoft R Open solution that will leverage the computing power of the database server for some of your datasets.

You are performing feature engineering and data preparation for the datasets.

The following is a sample of the dataset.

You need to analyze the dataset without the missing values. The solution must not remove the missing values from the dataset.

Which R code segment should you use?

rxDataStep(varsToDrop = NULL)

rxDataStep(transforms = `removeMissing')

rxDataStep(transformFunc = `removeMissing')

rxDataStep(removeMissingsOnRead = FALSE, removeMissing = TRUE)

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image

You are developing a Microsoft R Open solution that will leverage the computing power of the database server for some of your datasets.

You are performing feature engineering and data preparation for the datasets.

The following is a sample of the dataset.

You have the following R code.

Which function determines the variable?

transformVars

rxXdfDataFrame

createRandomSample

transformFunc

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

You need to evaluate the significance of coefficients that are

produced by using a model that was estimated already.

Which function should you use?

rxPredict

rxLogit

summary

rxLinMod

rxTweedie

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