Microsoft DP-100 Exam Practice Test Instant Access

Question 1

You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure Machine Learning SDK.

You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local compute.

You define a DataReference object by running the following code:

You need to load the training data.

Which code segment should you use?

AOption A

BOption B

COption C

DOption D

EOption E

Answer : E

Question 2

You have a comma-separated values (CSV) file containing data from which you want to train a classification model.

You are using the Automated Machine Learning interface in Azure Machine Learning studio to train the

classification model. You set the task type to Classification.

You need to ensure that the Automated Machine Learning process evaluates only linear models.

What should you do?

AAdd all algorithms other than linear ones to the blocked algorithms list.

BSet the Exit criterion option to a metric score threshold.

CClear the option to perform automatic featurization.

DClear the option to enable deep learning.

ESet the task type to Regression.

Answer : C

Question 3

You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan.

You want to understand how your model is making selections and must be sure that the model does not violate government regulations such as denying loans based on where an applicant lives.

You need to determine the extent to which each feature in the customer data is influencing predictions.

What should you do?

AEnable data drift monitoring for the model and its training dataset.

BScore the model against some test data with known label values and use the results to calculate a
confusion matrix.

CUse the Hyperdrive library to test the model with multiple hyperparameter values.

DUse the interpretability package to generate an explainer for the model.

EAdd tags to the model registration indicating the names of the features in the training dataset.

Answer : D

Question 4

You create a multi-class image classification deep learning model that uses the PyTorch deep learning

framework.

You must configure Azure Machine Learning Hyperdrive to optimize the hyperparameters for the classification model.

You need to define a primary metric to determine the hyperparameter values that result in the model with the best accuracy score.

Which three actions must you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

ASet the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to maximize.

BAdd code to the bird_classifier_train.py script to calculate the validation loss of the model and log it as a float value with the key loss.

CSet the primary_metric_goal of the estimator used to run the bird_classifier_train.py script to minimize.

DSet the primary_metric_name of the estimator used to run the bird_classifier_train.py script to accuracy.

ESet the primary_metric_name of the estimator used to run the bird_classifier_train.py script to loss.

FAdd code to the bird_classifier_train.py script to calculate the validation accuracy of the model and log it as a float value with the key accuracy.

Answer : A, D, F

Question 5

You retrain an existing model.

You need to register the new version of a model while keeping the current version of the model in the registry.

What should you do?

ARegister a model with a different name from the existing model and a custom property named version with the value 2.

BRegister the model with the same name as the existing model.

CSave the new model in the default datastore with the same name as the existing model. Do not register the new model.

DDelete the existing model and register the new one with the same name.

Answer : B

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Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure Exam Practice Test

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Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure Exam Practice Test

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