Online Access Free 070-773 Practice Test

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 use dplyrXdf, and you discover that after you exit the session, the output files that were created were deleted.
You need to prevent the files from being deleted.
Solution: You remove all instances of the file.remove method.
Does this meet the goal?

• A.No
• B.Yes

You have a dataset that has multiple blocks and only numeric variables.
You are computing in a local compute context.
You plan to lag a variable named x to create a new variable named x_lagged by using a transform function. You will create a new element in the output of the function.
You need to minimize the number of missing values.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A.Use rxGet to retrieve a value stored in processing of the prior block.
• B.Use rxSet to store the last value of x in the current block.
• C.Use rxSet to store the last value of x_lagged in the current block.
• D.Assign a value to the first value of x_lagged in the current block.
• E.Use rxGet to retrieve the first value of x in the next block to be processed.

You have cloud and on-premises resources that include Microsoft SQL Server and a big data environment in Apache Hadoop.
You have 50 billion fact records.
You need to build time series models to execute forecasting reports on the fact records.
What should you use?

• A.RxLocalseq on the SQL Server database
• B.RxSpark on the Hadoop cluster
• C.RxLocalParallel on the SQL Server database
• D.RxHadoopMR on the Hadoop cluster

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
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.

End of repeated scenario.
You have the following R code.

Which function determines the variable?

• A.transformVars
• B.rxXdfDataFrame
• C.createRandomSample
• D.transformFunc

You need to run a large data tree model by using rxDForest. The model must use cross validation.
Which rxDForest option should you use?

• A.xVal
• B.maxDepth
• C.maxSurrogate
• D.maxNumBins
• E.maxCompete