DP-100

You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio. Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a...

HOTSPOT You write code to retrieve an experiment that is run from your Azure Machine Learning workspace. The run used the model interpretation support in Azure Machine Learning to generate and upload a model explanation. Business managers in your organization want to see the importance of the features in the...

Topic 1, Case Study 1 Overview You are a data scientist in a company that provides data science for professional sporting events. Models will be global and local market data to meet the following business goals: • Understand sentiment of mobile device users at sporting events based on audio from...

You use the Azure Machine Learning Python SDK to define a pipeline to train a model. The data used to train the model is read from a folder in a datastore. You need to ensure the pipeline runs automatically whenever the data in the folder changes. What should you do?A...

You need to implement a feature engineering strategy for the crowd sentiment local models. What should you do?A . Apply an analysis of variance (ANOVA).B . Apply a Pearson correlation coefficient.C . Apply a Spearman correlation coefficient.D . Apply a linear discriminant analysis.View AnswerAnswer: D Explanation: The linear discriminant analysis...

You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using automated machine learning. The training dataset that you are using is highly unbalanced. You need to evaluate the classification model....

HOTSPOT You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent). The remaining 1,000 rows represent class 1 (10 percent). The training set is imbalances between two classes. You must increase the number...

You are evaluating a completed binary classification machine. You need to use the precision as the evaluation metric. Which visualization should you use?A . scatter plotB . coefficient of determinationC . Receiver Operating Characteristic CROC) curveD . Gradient descentView AnswerAnswer: C Explanation: Receiver operating characteristic (or ROC) is a plot...

You need to select a feature extraction method. Which method should you use?A . Spearman correlationB . Mutual informationC . Mann-Whitney testD . Pearson’s correlationView AnswerAnswer: A Explanation: Spearman's rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function. Note: Both Spearman's...

You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comma-separated values (CSV) files are stored. You have a script named train.py in a local folder named ./script that you plan to run...