70-774 무료 덤프문제 온라인 액세스

시험코드:70-774
시험이름:Perform Cloud Data Science with Azure Machine Learning
인증사:Microsoft
무료 덤프 문항수:65
업로드 날짜:2025-08-29
평점
100%

문제 1

You are building a classification experiment in Azure Machine Learning.
You need to ensure that you can use the Evaluate Model module the experiment.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

문제 2

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 transform the columns in a dataset. The resulting data must be mean centered and have a variance of L The solution must use a native module.
Which module should you use?

문제 3

The manager of a call center reports that staffing the center is difficult because the number of calls is unpredictable. You have historical data that contains information about the calls.
You need to build an Azure Machine Learning experiment to predict the number of total calls each hour.
Which model should you use?

문제 4

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 non-tabular file that is saved in Azure Blob storage.
You need to download the file locally, access the data in the file, and then format the data as a dataset.
Which module should you use?

문제 5

You need to use R code in a Transact-SQL statement to merge the repeating values 1 through 6 with Col1 in a table.
Which statement should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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