DP-100 exam

DRAG DROP You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct...

You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: ✑ Models must be built using Caffe2 or Chainer frameworks. ✑ Data scientists must be able to use a data science...

You are developing a data science workspace that uses an Azure Machine Learning service. You need to select a compute target to deploy the workspace. What should you use?A . Azure Data Lake AnalyticsB . Azure Databrick .C . Apache Spark for HDInsight.D . Azure Container ServiceView AnswerAnswer: D Explanation:...

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...

HOTSPOT You create a binary classification model using Azure Machine Learning Studio. You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model. You need to create the required business metrics. How should you complete the experiment? To answer, select the appropriate options...

You are a data scientist creating a linear regression model. You need to determine how closely the data fits the regression line. Which metric should you review?A . Coefficient of determinationB . RecallC . PrecisionD . Mean absolute errorE . Root Mean Square ErrorView AnswerAnswer: A Explanation: Coefficient of determination,...

DRAG DROP You are creating an experiment by using Azure Machine Learning Studio. You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis. You need to select appropriate methods for producing the...

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...

You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data. You...

HOTSPOT You are retrieving data from a large datastore by using Azure Machine Learning Studio. You must create a subset of the data for testing purposes using a random sampling seed based on the system clock. You add the Partition and Sample module to your experiment. You need to select...