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Microsoft DP-100 Exam Dumps

Microsoft DP-100 Exam Dumps

Designing and Implementing a Data Science Solution on Azure

Total Questions : 265
Update Date : April 13, 2024
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DP-100 Exam Dumps


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Microsoft DP-100 Sample Questions

Question # 1

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. Split Data
B. Load Trained Model
C. Assign Data to Clusters
D. Group Data into Bins



Question # 2

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?

A. Binary classification confusion matrix
B. box plot
C. Gradient descent
D. coefficient of determination



Question # 3

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?

A. Yes
B. No



Question # 4

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 Sample
B. Assign Data to Clusters
C. Group Data into Bins
D. Test Hypothesis Using t-Test



Question # 5

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?

A. Create a Data Science Virtual Machine (DSVM) Windows edition.
B. Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
C. Create a Deep Learning Virtual Machine (DLVM) Linux edition.
D. Create a Deep Learning Virtual Machine (DLVM) Windows edition.
E. Create a Data Science Virtual Machine (DSVM) Linux edition.



Question # 6

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.

A. Execute Python Script
B. Export Count Table
C. Convert to Indicator Values
D. Summarize Data
E. Compute linear Correlation



Question # 7

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?

A. Multilayer Perceptions (MLPs)
B. Convolutional Neural Networks (CNNs)
C. Recurrent Neural Networks (RNNs)
D. Generative Adversarial Networks (GANs)



Question # 8

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?

A. The training loss increases while the validation loss decreases when training the model.
B. The training loss decreases while the validation loss increases when training the model.
C. The training loss stays constant and the validation loss decreases when training themodel.
D. The training loss .stays constant and the validation loss stays on a constant value andclose to the training loss value when training the model.



Question # 9

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?

A. Yes
B. No



Question # 10

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?

A. Yes
B. No



Question # 11

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?

A. Edit Metadata
B. Preprocess Text
C. Execute Python Script
D. Latent Dirichlet Allocation




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