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QUESTION 19
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. Assign a value to the first value of x_lagged in the current block.
B. Use rxSet to store the last value of x_lagged in the current block.
C. Use rxSet to store the last value of x in the current block.
D. Use rxGet to retrieve the first value of x in the next block to be processed.
E. Use rxGet to retrieve a value stored in processing of the prior block.
Answer: ACD
QUESTION 20
You have an Apache Hadoop Hive data warehouse. RevoScalerR is not installed.
You need to sort the data according to the variables in the dataset.
What should you do?
A. Connect to the database by using an ODBC connection, and then use the rxSort function.
B. Create a table in the ORC file format.
C. Connect to the database by using an ODBC connection, and then use the rxDataStep function.
D. Execute a Hive query that sorts the data, and then reads the results.
Answer: D
QUESTION 21
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: D
QUESTION 22
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. maxSurrogate
B. maxNumBins
C. maxDepth
D. maxCompete
E. xVal
Answer: E
Explanation:
https://docs.microsoft.com/en-us/machine-learning-server/r/how-to-revoscaler-decision-tree
QUESTION 23
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 build a model that uses xyz regression.
You need to estimate a model that predicts a binary variable.
Which function should you use?
A. rxPredict
B. rxLogit
C. summary
D. rxLinMod
E. rxTweedie
F. stepAic
G. rxTransform
H. rxDataStep
Answer: B
Explanation:
https://docs.microsoft.com/en-us/r-server/r/how-to-revoscaler-logistic-regression
QUESTION 24
You have one-class support vector machines (SVMs).
You have a large dataset, but you do not have enough training time to fully test the model.
What is an alternative method to validate the model?
A. Use Principal Components Analysis (PCA)-Based Anomaly Detection.
B. Replace the SVMs with two-class SVMs.
C. Perform feature selection.
D. Use outlier detection.
Answer: A
QUESTION 25
You are running a parallel function that uses the following R code segment. (Line numbers are included for reference only.)
01 cp <-0.01 xval <-0 maxdepth <-5
03 (form, data = “segmentationDataBig”, maxDepth = maxdepth, cp = cp, xval = xval, blocksPerRead = 250
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: D
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