Microsoft Perform Cloud Data Science with Azure Machine Learning - 070-774무료 덤프문제 풀어보기

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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?

You have an Azure Machine Learning experiment.
You discover that a model causes many errors in a production dataset. The model causes only few errors in the training data.
What is the cause of the errors?

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You have an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to ARFF module, and then add the Execute R Script module.
Does this meet the goal?

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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure ML experiment that contains an intermediate dataset.
You need to explore data from the intermediate dataset by using Jupyter.
Solution: You add a Convert to CSV module to the Azure ML experiment and then open the module output in a new notebook.
Does this meet the goal?

You plan to use the Data Science Virtual Machine for development, but you are unfamiliar with R scripts.
You need to generate R code for an experiment.
Which IDE should you use?

You are building an Azure Machine Learning experiment.
You need to transform a string column into a label column for a Multiclass Decision Jungle module.
Which module should you use?

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.