Microsoft DP-100 Exam - Topic 1 Question 71 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 71
Topic #: 1

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?

Aprocess_count_per_node= '6'

Bnode_count= '6'

Cmini_batch_size= '6'

Derror_threshold= '6'

Show Suggested Answer

Suggested Answer: B

node_count is the number of nodes in the compute target used for running the ParallelRunStep.

https://docs.microsoft.com/en-us/python/api/azureml-contrib-pipeline-steps/azureml.contrib.pipeline.steps.parallelrunconfig?view=azure-ml-py

by Mattie at Aug 03, 2022, 08:13 PM

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Bok

5 months ago

C is the way to go, no doubt about it!

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Jutta

5 months ago

Surprised that it's not B, node_count= '6'. That seems logical too!

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Millie

5 months ago

Wait, isn't it A? I thought process_count_per_node was key here.

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Alline

5 months ago

Definitely agree with C! Makes sense for batch processing.

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Terry

5 months ago

I think the right choice is C, mini_batch_size= '6'.

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Marlon

5 months ago

I feel like error_threshold is definitely not the right option, but I can't recall the exact purpose of the other settings.

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Celestine

5 months ago

I'm a bit confused about whether node_count or mini_batch_size is more relevant here. I wish I had reviewed that section more.

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Lashawnda

5 months ago

I remember practicing a question like this, and I think the process_count_per_node might be the correct setting.

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Bernardine

6 months ago

I think we need to set the mini_batch_size to 6, but I'm not entirely sure if that's the right choice for ParallelRunStep.

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Fletcher

6 months ago

Add-path, that's the one! This will allow the route reflector to advertise multiple paths to the same destination, ensuring R1 and R2 get both routes. Feels pretty straightforward to me.

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Allene

6 months ago

I think the key is understanding the present value versus future value calculations. Always watch the compounding factors!

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Stefania

6 months ago

Hmm, I'm a bit unsure about this one. I'll need to re-read the question and answers carefully to make sure I don't miss any important nuances.

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