Microsoft (DP-100) Exam Questions And Answers page 19
You plan to create a speech recognition deep learning model.
The model must support the latest version of Python.
You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM).
What should you recommend?
The model must support the latest version of Python.
You need to recommend a deep learning framework for speech recognition to include in the Data Science Virtual Machine (DSVM).
What should you recommend?
TensorFlow
Weka
Scikit-learn
Data Preparation and Processing
Modeling
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?
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?
Delete the existing model and register the new one with the same name.
Register a model with a different name from the existing model and a custom property named version with the value 2.
Register the model with the same name as the existing model.
Save the new model in the default datastore with the same name as the existing model. Do not register the new model.
Modeling
Deployment and Monitoring
You need to configure the Edit Metadata module so that the structure of the datasets match.
Which configuration options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Which configuration options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Designing and Implementing Data Science Solutions
Data Preparation and Processing
You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data visualizations using Python. Each student will use a device that has internet access.
Student devices are not configured for Python development. Students do not have administrator access to install 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?
Student devices are not configured for Python development. Students do not have administrator access to install 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?
Anaconda Data Science Platform
Azure BatchAI
Azure Notebooks
Azure Machine Learning Service
Data Preparation and Processing
Modeling
You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model.
You need to configure the Tune Model Hyperparameters module.
Which two values should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You need to configure the Tune Model Hyperparameters module.
Which two values should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Number of hidden nodes
Learning Rate
The type of the normalizer
Number of learning iterations
Hidden layer specification
Data Preparation and Processing
Modeling
You deploy a real-time inference service for a trained model.
The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates.
You need to implement a monitoring solution for the deployed model using minimal administrative effort.
What should you do?
The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates.
You need to implement a monitoring solution for the deployed model using minimal administrative effort.
What should you do?
View the explanations for the registered model in Azure ML studio.
Enable Azure Application Insights for the service endpoint and view logged data in the Azure portal.
View the log files generated by the experiment used to train the model.
Create an ML Flow tracking URI that references the endpoint, and view the data logged by ML Flow.
Data Preparation and Processing
Deployment and Monitoring
You use Azure Machine Learning designer to create a training pipeline for a regression model.
You need to prepare the pipeline for deployment as an endpoint that generates predictions asynchronously for a dataset of input data values.
What should you do?
You need to prepare the pipeline for deployment as an endpoint that generates predictions asynchronously for a dataset of input data values.
What should you do?
Clone the training pipeline.
Create a batch inference pipeline from the training pipeline.
Create a real-time inference pipeline from the training pipeline.
Replace the dataset in the training pipeline with an Enter Data Manually module.
Data Preparation and Processing
Modeling
You plan to run a Python script as an Azure Machine Learning experiment.
The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset argument.
You must specify an appropriate mode for the dataset argument.
Which two modes can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset argument.
You must specify an appropriate mode for the dataset argument.
Which two modes can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
to_pandas_dataframe()
as_download()
as_upload()
as_mount()
Data Preparation and Processing
Deployment and Monitoring
You use the Azure Machine Learning designer to create and run a training pipeline. You then create a real-time inference pipeline.
You must deploy the real-time inference pipeline as a web service.
What must you do before you deploy the real-time inference pipeline?
You must deploy the real-time inference pipeline as a web service.
What must you do before you deploy the real-time inference pipeline?
Run the real-time inference pipeline.
Create a batch inference pipeline.
Clone the training pipeline.
Create an Azure Machine Learning compute cluster.
Modeling
Deployment and Monitoring
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?
You need to determine how closely the data fits the regression line.
Which metric should you review?
Root Mean Square Error
Coefficient of determination
Recall
Precision
Mean absolute error
Data Preparation and Processing
Modeling
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