Tag - DP-100 exam

Your team is building a data engineering and data science development environment. The environment must support the following requirements: ✑ support Python and Scala ✑ compose data storage, movement, and processing services into automated data pipelines ✑ the same tool should be used for the orchestration of both data engineering...

You are a data scientist building a deep convolutional neural network (CNN) for image classification. The CNN model you built shows signs of overfitting. You need to reduce overfitting and converge the model to an optimal fit. Which two actions should you perform? Each correct answer presents a complete solution....

You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments. Which three environments can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . MI.NET Library on...

HOTSPOT You need to set up the Permutation Feature Importance module according to the model training requirements. Which properties should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Accuracy Scenario: You want to...

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?A . Partition and SampleB . Assign Data to ClustersC . Group Data into BinsD . Test Hypothesis Using t-TestView AnswerAnswer: A Explanation: Partition and...

HOTSPOT You create a binary classification model to predict whether a person has a disease. You need to detect possible classification errors. Which error type should you choose for each description? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View...

DRAG DROP You are building an intelligent solution using machine learning models. The environment must support the following requirements: ✑ Data scientists must build notebooks in a cloud environment ✑ Data scientists must use automatic feature engineering and model building in machine learning pipelines. ✑ Notebooks must be deployed to...

DRAG DROP You are producing a multiple linear regression model in Azure Machine Learning Studio. Several independent variables are highly correlated. You need to select appropriate methods for conducting effective feature engineering on all the data. Which three actions should you perform in sequence? To answer, move the appropriate actions...

Topic 2, Case Study 2 Case study Overview You are a data scientist for Fabrikam Residences, a company specializing in quality private and commercial property in the United States. Fabrikam Residences is considering expanding into Europe and has asked you to investigate prices for private residences in major European cities....

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...