70-773 무료 덤프문제 온라인 액세스
시험코드: | 70-773 |
시험이름: | Analyzing Big Data with Microsoft R |
인증사: | Microsoft |
무료 덤프 문항수: | 40 |
업로드 날짜: | 2025-09-05 |
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 generate a residual based on two columns. The solution must build a trend indicator.
Which function should you use?
You are running a parallel function that uses the following R code segment. (Line numbers are included for reference only.)
0 1 cp <- 0.01 xval <- 0 maxdepth <- 5
0 2
0 3 (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?
DRAG DROP
You are using rxPredict for a logistic regression model.
You need to obtain prediction standard errors and confidence intervals.
Which R code segment should you use? To answer, drag the appropriate values to the correct targets. Each value 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.
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 remove all instances of the file.remove method.
Does this meet the goal?
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?