Online Access Free 70-773 Practice Test

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

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.

Correct Answer:

Explanation:

References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-r-server-compute-contexts

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 sequential
• B.Map Reduce
• C.SQL
• D.Spark
• E.local parallel

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 evaluate the significance of coefficients that are produced by using a model that was estimated already.
Which function should you use?

• A.rxTweedie
• B.rxPredict
• C.summary
• D.rxLinMod
• E.rxDataStep
• F.rxLogit
• G.stepAic
• H.rxTransform

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 rxCube function
• B.the rxSummary function
• C.the summary function
• D.the Describe package
• E.the rxCrossTabs function
• F.the rxHistogram function
• G.the ggplot2 package
• H.the rxQuantile function