70-773 試験問題を無料オンラインアクセス

試験コード:70-773
試験名称:Analyzing Big Data with Microsoft R
認定資格:Microsoft
無料問題数:40
更新日:2025-09-02
評価
100%

問題 1

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?

問題 2

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 plan to score some data to create data features to address empty rows.
You have the following R code.

You need to transform the data and overwrite the current dataset.
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.

問題 3

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 outFile parameter and specify a path other than the working directory for dplyrXdf.
Does this meet the goal?

問題 4

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.

問題 5

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?

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