Microsoft DP-100 Exam Dumps

You are creating a binary classification by using a two-class logistic regression model.You need to evaluate the model results for imbalance.Which evaluation metric should you use?

You are creating a machine learning model.You need to identify outliers in the data.Which two visualizations can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.NOTE: Each correct selection is worth one point.

Note: This question is part of a series of questions that present the same scenario. Eachquestion in the series contains a unique solution that might meet the stated goals. Somequestion sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result,these questions will not appear in the review screen.You are a data scientist using Azure Machine Learning Studio.You need to normalize values to produce an output column into bins to predict a target column.Solution: Apply an Equal Width with Custom Start and Stop binning mode.Does the solution meet the goal?

You create a binary classification model.You need to evaluate the model performance.Which two metrics can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

You plan to use a Data Science Virtual Machine (DSVM) with the open source deeplearning frameworks Caffe2 and Theano. You need to select a pre configured DSVM tosupport the framework.What should you create?

You plan to build a team data science environment. Data for training models in machinelearning pipelines willbe 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 environment to build themachine learning pipelines and train models on their personal devices in bothconnected and disconnected network environments.Personal devices must support updating machine learning pipelines whenconnected to a network.You need to select a data science environment.Which environment should you use?

You plan to deliver a hands-on workshop to several students. The workshop will focus on creating datavisualizations using Python. Each student will use a device that has internet access.Student devices are not configured for Python development. Students do not haveadministrator access toinstall software on their devices. Azure subscriptions are not available for students.You need to ensure that students can run Python-based data visualization code.Which Azure tool should you use?

You are creating a new experiment in Azure Machine Learning Studio. You have a smalldataset that has missing values in many columns. The data does not require theapplication of predictors for each column. You plan to use the Clean Missing Data moduleto handle the missing data.You need to select a data cleaning method.Which method should you use?

You are developing deep learning models to analyze semi-structured, unstructured, andstructured data types.You have the following data available for model building:Video recordings of sporting eventsTranscripts of radio commentary about eventsLogs from related social media feeds captured during sporting eventsYou need to select an environment for creating the model.Which environment should you use?

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 evaluating a completed binary classification machine learning model.You need to use the precision as the valuation metric.Which visualization should you use?

Note: This question is part of a series of questions that present the same scenario. Eachquestion in the series contains a unique solution that might meet the stated goals. Somequestion sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result,these questions will not appear in the review screen.You are creating a new experiment in Azure Machine Learning Studio.One class has a much smaller number of observations than tin- other classes in the training set.You need to select an appropriate data sampling strategy to compensate for the classimbalance.Solution: You use the Principal Components Analysis (PCA) sampling mode.Does the solution meet the goal?

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 implementing a machine learning model to predict stock prices.The model uses a PostgreSQL database and requires GPU processing.You need to create a virtual machine that is pre-configured with the required tools.What should you do?

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 valuecount for each feature column.Which two modules can you users? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

You are building a machine learning model for translating English language textual content into Frenchlanguage textual content.You need to build and train the machine learning model to learn the sequence of the textual content.Which type of neural network should you use?

You are building recurrent neural network to perform a binary classification.The training loss, validation loss, training accuracy, and validation accuracy of each trainingepoch has been provided. You need to identify whether the classification model is over fitted.Which of the following is correct?

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 statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.You are creating a model to predict the price of a student’s artwork depending on thefollowing variables: the student’s length of education, degree type, and art form.You start by creating a linear regression model.You need to evaluate the linear regression model.Solution: Use the following metrics: Mean Absolute Error, Root Mean Absolute Error,Relative Absolute Error, Accuracy, Precision, Recall, F1 score, and AUC.Does the solution meet the goal?

Note: This question is part of a series of questions that present the same scenario. Eachquestion in the series contains a unique solution that might meet the stated goals. Somequestion sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result,these questions will not appear in the review screen.You are a data scientist using Azure Machine Learning Studio.You need to normalize values to produce an output column into bins to predict a target column.Solution: Apply a Quantiles binning mode with a PQuantile normalization.Does the solution meet the goal?

You are performing feature engineering on a dataset.You must add a feature named CityName and populate the column value with the text London.You need to add the new feature to the dataset.Which Azure Machine Learning Studio module should you use?

You are analyzing a dataset containing historical data from a local taxi company. You arcdeveloping a regression a regression model.You must predict the fare of a taxi trip.You need to select performance metrics to correctly evaluate the- regression model.Which two metrics can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

Note: This question is part of a series of questions that present the same scenario. Eachquestion in the series contains a unique solution that might meet the stated goals. Somequestion sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result,these questions will not appear in the review screen.You are a data scientist using Azure Machine Learning Studio.You need to normalize values to produce an output column into bins to predict a target column.Solution: Apply a Quantiles normalization with a QuantileIndex normalization.Does the solution meet the GOAL?

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 statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.You are creating a new experiment in Azure Machine Learning Studio.One class has a much smaller number of observations than the other classes in the training set.You need to select an appropriate data sampling strategy to compensate for the class imbalance.Solution: You use the Stratified split for the sampling mode.Does the solution meet the goal?

You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binaryclassification model. You use the Tune Model Hyperparameters module to tune accuracyfor the model.You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module.Which two hyperparameters should you use? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.

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 statedgoals. Some question sets might have more than one correct solution, while othersmight not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As aresult, these questions will not appear in the review screen.You are using Azure Machine Learning Studio to perform feature engineering on a dataset.You need to normalize values to produce a feature column grouped into bins.Solution: Apply an Entropy Minimum Description Length (MDL) binning mode.Does the solution meet the goal?