70-773 Exam
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Q21. 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 persist verb.
Does this meet the goal?
A. Yes
B. No
Answer: A
Q22. Note: This question Is part of a series of questions that use the same or similar answer choice. 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 generate a residual based on two columns. The solution must build a trend indicator.
Which function should you use?
A. rxPredict
B. rxLogit
C. Summary
D. rxLinMod
E. rxTweedie
F. stepAic
G. rxTransform
H. rxDataStep
Answer: C
Q23. You have following regression forest.
Which variable contributes the most to the dependent variable?
A. stack.loss
B. Water.Temp
C. Air.Flow
D. Acid.Conc
Answer: A
Q24. Note: This question Is part of a series of questions that use the same or similar answer choice. 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 evaluate the significance of coefficient that are produced by using a model that was estimated already.
Which function should you use?
A. rxPredict
B. rxLogit
C. Summary
D. rxLinMod
E. rxTweedie
F. stepAic
G. rxTransform
H. rxDataStep
Answer: D
Explanation: https://docs.microsoft.com/en-us/r-server/r/how-to-revoscaler-linear-model
Q25. 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
Q26. Note: This Question is part of a series of Questions that use the same or similar answer choices. An answer choice may be correct 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
Q27. 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
Q28. 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. RxSpark on the Hadoop cluster
B. RxHadoopMR on the Hadoop cluster
C. RxLocalseq on the SQL Server database
D. RxLocalParallel on the SQL Server database
Answer: A
Q29. You are running a large logistic regression for 1,000 feature variables by using the logisticRegression0 function in the MicrosoftML package. All of the predictor variables are numeric.
Currently, you specify the input variables separately by using the following formula.
You discover that it takes 20 minutes to estimate each model.
You need to reduce the amount of time required to estimate each model without losing any information in the predictors.
What should you do?
A. Use stepControl0 to perform stepwise regression to limit the number of variables that contribute to the model.
B. Use selectFeatures0 to select the features that provide the most information about the outcome variable.
C. Use princomp0 on the correlation matrix of Features, and then use only the first 100 principle components to reduce the number of input variables.
D. Use concat0 to create a single array variable named Features, and then specify a new
formula named Outcome - Features.
Answer: B
Q30. You have an Apache Hadoop Hive data warehouse. RevoScaleR 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