70-773 Exam
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Q31. 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
Q32. 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:
Q33. 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
Q34. 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
Q35. 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:
Q36. 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: