Which configuration setting should you specify in the ParallelRunConfig object for the PrallelRunStep step?
You register a model that you plan to use in a batch inference pipeline.
The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script has the ParallelRunStep step runs must process six input files each time the inferencing function is called.
You need to configure the pipeline.
Which configuration setting should you specify in the ParallelRunConfig object for the PrallelRunStep step?
A . process_count_per_node= "6"
B . node_count= "6"
C . mini_batch_size= "6"
D . error_threshold= "6"
Answer: B
Explanation:
node_count is the number of nodes in the compute target used for running the ParallelRunStep.
Reference: https://docs.microsoft.com/en-us/python/api/azureml-contrib-pipeline-steps/azureml.contrib.pipeline.steps.parallelrunconfig?view=azure-ml-py
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