A datastore contains a CSV file of structured data that you want to use as a Pandas dataframe. Which kind of dataset should you create to make it easy to do this?

You want a script to stream data directly from a file dataset. Which mode should you use?

You have uploaded some data files to a folder in a blob container, and registered the blob container as a datastore in your Azure Machine Learning workspace. You want to run a script as an experiment that loads the data files and trains a model. What should you do?

You are solving a classification task. You must evaluate your model on a limited data sample by using k-fold cross-validation. You start by configuring a k parameter as the number of splits. You need to configure the k parameter for the cross-validation. Which value should you use?

You are analyzing a dataset by using Azure Machine Learning Studio. You need to generate a statistical summary that contains the p-value and the unique count for each feature column. Which two modules can you use?

You are analyzing a numerical dataset which contains missing values in several columns. You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set. You need to analyze a full dataset to include all values. Which is best solution

You use Azure Machine Learning Studio to build a machine learning experiment.You need to divide data into two distinct datasets. Which module should you use?

You are building a binary classification model by using a supplied training set. The training set is imbalanced between two classes. You need to resolve the data imbalance. What are three possible ways to achieve this goal?

You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?