Microsoft Certified Azure Data Scientist Associate - DP-100
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You need to execute a script as an experiment that requires modules from the SciPy library and other Python packages not found in a default conda environment. The experiment will run on your local workstation for small datasets and be scaled out to more powerful remote compute clusters for larger datasets.
How can you ensure the experiment runs successfully on both local and remote compute with minimal administrative effort?
You need to execute a script as an experiment that requires modules from the SciPy library and other Python packages not found in a default conda environment. The experiment will run on your local workstation for small datasets and be scaled out to more powerful remote compute clusters for larger datasets.
How can you ensure the experiment runs successfully on both local and remote compute with minimal administrative effort?
Exam-Like
A
Leave the environment unspecified for the experiment. Run the expenment by using the default environment.
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B
Create a config.yaml file that defines the required conda packages and save the file in the experiment folder.
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