70-774 무료 덤프문제 온라인 액세스

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 change a column name to a friendly name. The solution must use a native module. Which module should you use?

• A.Execute Python Script
• B.Clip Values
• C.Clean Missing Data
• D.Edit Metadata
• E.Normalize Data
• F.Tune Model Hyperparameters
• G.Select Columns in Dataset
• H.Import Data

You are performing exploratory analysis of files that are encoded in a complex proprietary format. The format requires disk intensive access to several dependent files in HDFS.
You need to build an Azure Machine Learning model by using a canopy clustering algorithm. You must ensure that changes to proprietary file formats can be maintained by using the least amount of effort.
Which Machine Learning library should you use?

• A.MicrosoftML
• B.SparkR
• C.scikit-learn
• D.Mahout

You deploy Microsoft Data Management Gateway.
You plan to use the Import Data module in Azure Machine Learning Studio to import data from an on-premises Microsoft SQL Server instance.
Which operation can you perform?

• A.Access the on-premises SQL Server instance without using credentials, and then import the data.
• B.Write the data back to the on-premises SQL Server instance.
• C.Run a Transact-SQL query and use SQL views to filter the data as the data is being read.
• D.Filter the data as the data is being read by using the Import Data module.

You have the following three training datasets for a restaurant:
You must recommend restaurant to a particular user based only on the users features.
You need to use a Matchbox Recommender to make recommendations.
How many input parameters should you specify?

• A.2
• B.4
• C.1
• D.3

You have an Azure Machine Learning environment.
You are evaluating whether to use R code or Python.
Which three actions can you perform by using both R code and Python in the Machine Learning environment?
Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A.Score a training model.
• B.Create visualizations.
• C.Preprocess, cleanse, and group data.
• D.Create an untrained model that can be used with the Train Model module.
• E.Implement feature ranking.