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Microsoft DP-100 Exam - Topic 7 Question 63 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 63
Topic #: 7
[All DP-100 Questions]

You create a script that trains a convolutional neural network model over multiple epochs and logs the validation loss after each epoch. The script includes arguments for batch size and learning rate.

You identify a set of batch size and learning rate values that you want to try.

You need to use Azure Machine Learning to find the combination of batch size and learning rate that results in the model with the lowest validation loss.

What should you do?

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Carmelina
4 months ago
I disagree, I’d stick with the pipeline approach instead.
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Margot
5 months ago
Wait, can HyperDrive really find the best combo that fast?
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Susy
5 months ago
Definitely leaning towards option E!
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Keneth
5 months ago
I think AutoMLConfig could work too, but not as flexible.
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Emmanuel
5 months ago
HyperDriveConfig is the way to go for tuning hyperparameters!
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Farrah
5 months ago
I’m confused about whether to use HyperDriveConfig or ScriptRunConfig. I feel like both could potentially help, but I need to recall the differences better.
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Amina
5 months ago
I’m leaning towards the HyperDriveConfig option too, but I wonder if using a pipeline with PythonScriptStep could work as well.
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Leandro
5 months ago
I remember practicing with AutoMLConfig, but I feel like that’s more for automated model selection rather than tuning specific parameters like batch size and learning rate.
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Man
5 months ago
I think we might need to use HyperDriveConfig since it’s specifically for hyperparameter tuning, right? But I'm not entirely sure.
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Britt
5 months ago
Hmm, this is a tricky one. I'm not entirely sure about the best approach here. I'll need to think through each option and consider what's true and what's not.
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Geoffrey
6 months ago
Okay, let's think this through step-by-step. We know that 1 liter of the solution contains 5 grams of the drug. So we need to figure out how much is in 750 ml, which is 3/4 of a liter.
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