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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 estimate a model where the outcome variable is continuous, is in the range of [0, inf], and has a substantial mass at an exact value of 0.
Which function should you use?
A. rxPredict
B. rxLogit
C. summary
D. rxLinMod
E. rxTweedie
F. stepAic
G. rxTransform
H. rxDataStep
Answer: F
QUESTION 13
You plan to analyze data on a local computer. To improve performance, you plan to alternate the operation between a Microsoft SQL Server and the local computer.
You need to run complex code on the SQL Server, and then revert to the local compute context.
Which R code segment should you use?
A. sqlCompute <-RxInSqlServer(connectionString = “Driver=SQL Server;Server = myServer; Database = TestDB; Uid = myID; Pwd = myPwd;”)sqlPackagePaths <-RxFindPackage(package = “RevoScaleR”, computeContext = sqlServerCompute)
B. sqlCompute <-RxInSqlServer(connectionstring = sqlConnString, shareDir = sqlShareDir,wait = sqlWait, consoleOutput =
sqlConsoleOutput)rxSetComputeContext(“local”)x <-1:10rxExec(print, x, elemType = “cores”, timesToRun = 10)rxSetComputeContext(“RxLocalParallel”)
C. sqlCompute <-RxInSqlServer(connectionstring = sqlConnString, shareDir = sqlShareDir,wait = sqlWait, consoleOutput =
sqlConsoleOutput)rxSetComputeContext(“sqlCompute”)x <-1:10rxExec(print, x, elemType = “cores”, timesToRun = 10)rxSetComputeContext(“local”)
D. sqlCompute <-RxInSqlServer(connectionstring = sqlConnString, shareDir = sqlShareDir,wait = sqlWait, consoleOutput =
sqlConsoleOutput)rxSetComputeContext(“local”)x <-1:10rxExec(print, x, elemType = “cores”, timesToRun = 10)rxSetComputeContext(“sqlCompute”)
Answer: D
Explanation:
https://docs.microsoft.com/en-us/sql/advanced-analytics/tutorials/deepdive-define-and-use-compute-contexts
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: C
QUESTION 15
You need to build a model that looks at the probability of an outcome. You must regulate between L1 and L2.
Which classification method should you use?
A. Two-Class Neutral Network
B. Two-Class Support Vector Machine
C. Two-Class Decision Forest
D. Two-Class Logistic Regression
Answer: D
Explanation:
https://msdn.microsoft.com/en-us/library/azure/dn905994.aspx
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: ABD
Explanation:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-r-server-compute-contexts
QUESTION 17
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 use dplyrXdf with the persist verb.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
http://blog.revolutionanalytics.com/2016/12/dplyrxdf-090-now-available.html
QUESTION 18
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 have a data source that is larger than memory.
You need to visualize the distribution of the values for a variable in the data source.
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: B
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