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Question # 1



You need to resolve the local machine learning pipeline performance issue. What should you do?
A. Increase Graphic Processing Units (GPUs).
B. Increase the learning rate.
C. Increase the training iterations,
D. Increase Central Processing Units (CPUs).



A.   Increase Graphic Processing Units (GPUs).




Question # 2



You use the Azure Machine learning SDK v2 tor Python and notebooks to tram a model. You use Python code to create a compute target, an environment, and a taring script. You need to prepare information to submit a training job. Which class should you use?
A. MLClient
B. command
C. BuildContext
D. EndpointConnection



B.   command




Question # 3



You train and register a model in your Azure Machine Learning workspace. You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data. You need to create the inferencing script for the ParallelRunStep pipeline step. Which two functions should you include? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. run(mini_batch)
B. main()
C. batch()
D. init()
E. score(mini_batch)



A.   run(mini_batch)


D.   init()

Explanation:

[Reference:, https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/machine-learningpipelines/parallel-run, , ]




Question # 4



You use Azure Machine Learning to tram a model. You must use Baylean sampling to Tune hyperparaters. You need to select a learning_rate parameter distribution. Which two distributions can you use? Each correct answer presents a complete solution. NOTE Each correct selection is worth one point.
A. Normal
B. Uniform
C. Choice
D. LogUniform
E. QNormal



B.   Uniform


C.   Choice




Question # 5



You create a Python script that runs a training experiment in Azure Machine Learning. The script uses the Azure Machine Learning SDK for Python. You must add a statement that retrieves the names of the logs and outputs generated by the script. You need to reference a Python class object from the SDK for the statement. Which class object should you use?
A. Run
B. ScripcRunConfig
C. Workspace
D. Experiment



A.   Run

Explanation:

A run represents a single trial of an experiment. Runs are used to monitor the asynchronous execution of a trial, log metrics and store output of the trial, and to analyze results and access artifacts generated by the trial.

The run Class get_all_logs method downloads all logs for the run to a directory.

[Reference:, https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run(class), , ]



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Designing and Implementing a Data Science Solution on Azure Exam Exam Dumps


Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure Exam

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