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Exam DP-100 topic 3 question 11 discussion

Actual exam question from Microsoft's DP-100
Question #: 11
Topic #: 3
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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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An IT department creates the following Azure resource groups and resources:

The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named aks-cluster in the Azure Machine Learning workspace.
You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed.
You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy metrics.
Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace. Run the training script as an experiment on the aks- cluster compute target.
Does the solution meet the goal?

  • A. Yes
  • B. No
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

Comments

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chaudha4
Highly Voted 3 years, 6 months ago
A very long question trying to ask if you can use an inference cluster for training purpose !!
upvoted 19 times
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gamezone25
Highly Voted 3 years, 6 months ago
B is indeed the correct answer. AKS is for inference, not for training
upvoted 13 times
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evangelist
Most Recent 5 months ago
Selected Answer: B
answer is A, yes, AKS is used as inference compute target, inference means hosting and deploying the model not training the model
upvoted 1 times
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a6cb3b0
7 months, 1 week ago
Selected Answer: B
read this: Azure Machine Learning Kubernetes compute supports two kinds of Kubernetes cluster: AKS cluster in Azure. With your self-managed AKS cluster in Azure, you can gain security and controls to meet compliance requirement and flexibility to manage teams' ML workload. Arc Kubernetes cluster outside of Azure. With Arc Kubernetes cluster, you can train or deploy models in any infrastructure on-premises, across multicloud, or the edge. Since this question menthioned we have AKS Cluster in Azure, so it is not possible to train the model. the correct answer is B.
upvoted 1 times
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Matt2000
8 months, 3 weeks ago
AKS clusters can process training and allow for gpu usage. So it seems feasible. Reference: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-attach-kubernetes-anywhere?view=azureml-api-2
upvoted 1 times
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esimsek
1 year, 7 months ago
In exam 2023-03-23
upvoted 5 times
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Yuriy_Ch
1 year, 7 months ago
Exactly this question was on exam 07/March/2023
upvoted 4 times
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ahson0124
1 year, 8 months ago
In exam on 2023-02-15
upvoted 3 times
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ning
2 years, 5 months ago
No need to over thinking ... AKS for deploying large scale applications ... No where in documentation mentioned as training target ... In practically, you can certainly train data on AKS, LOL ...
upvoted 1 times
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synapse
2 years, 7 months ago
Selected Answer: B
aks is for inferencing not for training
upvoted 1 times
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hargur
3 years ago
on 19Oct2021
upvoted 1 times
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lander_c
3 years, 1 month ago
The answer should be No. But note the AKS has a preview feature that allows it to train models as well. Check whether it has been moved out of the preview feature set.
upvoted 3 times
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snsnsnsn
3 years, 2 months ago
on exam 2/9/21
upvoted 1 times
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