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NEW QUESTION 1
DRAG DROP
You need to set the compute context for three different target environments.
Which Statement should you use for each environment? To answer, drag the appropriate statements to the correct execution contexts. Each statement 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.
Answer:
Explanation: 
NEW QUESTION 2
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, whale 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 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 use dplyrXdf with the outFile parameter and specify a path other than the working directory for dplyrXdf.
Does this meet the goal?
- A. Yes
- B. No
Answer: A
NEW QUESTION 3
You are running a parallel function that uses the following R code segment. (Line numbers are included for reference only.)
You need to complete the R code. The solution must support chunking. Which function should insert at line 02?
- A. rxBTrees
- B. rxExec
- C. rxDForest
- D. rxDTree
Answer: C
NEW QUESTION 4
HOTSPOT
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 plan to score some data to create data features to address empty rows. You have the following R code.
You need to transform the data and overwrite the current dataset.
Which R code segment should you use? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation: 
NEW QUESTION 5
You perform an analysis that produces the decision tree shown in the exhibit.
How many leaf nodes are there on the tree?
- A. 2
- B. 3
- C. 5
- D. 7
Answer: B
NEW QUESTION 6
HOTSPOT
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 need to sort the data from the dataset sample and to remove duplicates by using wkswork1.
Which R code segment should you use? to answer, select the appropriate options in the
answer area.
Note: Each correct selection is worth one point.
Answer:
Explanation: 
NEW QUESTION 7
DRAG DROP
You are using rxPredict for a logistic regression model.
You need to obtain prediction standard errors and confidence intervals. Which R code segment should you use?
To answer, drag the .impropriate values to the correct targets. Each value may be used once, more than once, or not .You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation: 
NEW QUESTION 8
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, whale 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 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. Yes
- B. No
Answer: B
NEW QUESTION 9
You need to run a larger data tree model by using rsDForest. The model must use cross validation.
Which rxDForest option should you use?
- A. maxSurrogate
- B. maxNumBins
- C. maxDepth
- D. maxCompete
- E. xVal
Answer: E
Explanation: https://docs.microsoft.com/en-us/r-server/r/how-to-revoscaler-decision-tree
NEW QUESTION 10
You plan to read data from an Oracle database table and to store the data in the file system for later processing by dplyrXdf, The size of the data is larger than the memory on the server to used for modelling.
You need to ensure that the data can be processed by dplyrXdf in the least amount of time possible.
How should you transfer the data from the Oracle database?
- A. Use the RODBC library, connect to the Oracle database server by using odbcConnec
- B. and then use rxDataStep to export the data to a comma-separated values (CSV) file.
- C. Define a data source to the Oracle database server by using RxOdbcData, and then use rxlmport to save the data to an XDF file.
- D. Use the RODBC library, connect to the Oracle database server by using odbcConnec
- E. and then use rxSplit to save the data to multiple comma-separated values (CSV) files.
Answer: C
NEW QUESTION 11
You need to use the ScaleR distributed processing in an Apache Hadoop environment. Which data source should you use?
- A. Microsoft SQL Server database
- B. XDF data files
- C. ODBC data
- D. Teradata database
Answer: B
NEW QUESTION 12
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You need to get all of the deciles for a variable in a data frame. What should you use?
- A. the Describe package
- B. the rxHistogram function
- C. the rxSummary function
- D. the rxQuantile function
- E. the rxCube function
- F. the summary function
- G. the rxCrossTabs function
- H. the ggplot2 package
Answer: F
NEW QUESTION 13
You have a Microsoft SQI Server instance that has R Services (In Database) installed. The server has a comma separated values (CSV) file stored in the local file system.
For analytic purposes, you need to read the CSV file into a database table in the SQL Server instance.
You connect to the SQL Server instance by using SQL Server Management Studio.
What should you use from sp_execute_external_script?
- A. RxSqIServerData and specify the CSV file path in the connecting string.
- B. rxDataStep and specify the CSV lite path as the inFile argument
- C. rxImportToXdf and specify the CSV file as the input
- D. read.csv and specify the CSV file path as the parameter.
Answer: D
NEW QUESTION 14
You have a slow Map Reduce job.
You need to optimize the job to control the number of mapper and runner tasks. Which function should you use?
- A. RxComputeContext
- B. RxHadoopMR
- C. rxExec
- D. RxLocalParallel
Answer: B
NEW QUESTION 15
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
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?
- A. the Describe package
- B. the rxHistogram function
- C. the rxSummary function
- D. the rxQuantile function
- E. the rxCube function
- F. the summary function
- G. the rxCrossTabs function
- H. the ggplot2 package
Answer: C
NEW QUESTION 16
You are planning the compute contexts for your environment. You need to execute rx-function calls in parallel.
What are three possible compute contexts that you can use to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. local parallel
- B. Spark
- C. local sequential
- D. Map Reduce
- E. SQL
Answer: ABC
Explanation: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-r-server-compute-contexts
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