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Exam DP-100 topic 2 question 15 discussion

Actual exam question from Microsoft's DP-100
Question #: 15
Topic #: 2
[All DP-100 Questions]

DRAG DROP -
You configure a Deep Learning Virtual Machine for Windows.
You need to recommend tools and frameworks to perform the following:
✑ Build deep neural network (DNN) models
✑ Perform interactive data exploration and visualization
Which tools and frameworks should you recommend? To answer, drag the appropriate tools to the correct tasks. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

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Suggested Answer:
by jameswoo at May 14, 2020, 3:31 p.m.

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jameswoo
Highly Voted 4 years, 5 months ago
I think it should be Microsoft Cognitive Kit for DNN.
upvoted 35 times
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sakshi239
Highly Voted 4 years, 5 months ago
It should be Microsoft Cognitive Kit. Vowpal Wabbit is for Machine Learning.
upvoted 10 times
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NullVoider_0
Most Recent 11 months ago
For building DNN models we should use Microsoft Cognitive tool kit, not Vowpal Wabbit. Vowpal Wabbit: While it's a fast machine learning system, it's more focused on online learning scenarios and may not be as comprehensive as CNTK for building complex DNN models.
upvoted 2 times
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phdykd
1 year, 9 months ago
For building deep neural network (DNN) models: Microsoft Cognitive Toolkit (CNTK) For interactive data exploration and visualization: PowerBI Desktop
upvoted 5 times
phydev
1 year, 3 months ago
Yes, ChatGPT agrees.
upvoted 1 times
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JTWang
2 years, 7 months ago
CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers https://docs.microsoft.com/en-us/cognitive-toolkit/
upvoted 3 times
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ashii007
2 years, 10 months ago
this question is based on outdated topic. Cognitive toolkit is being retired and DSVMs are recommended way to go.
upvoted 3 times
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RyanTsai
3 years, 1 month ago
agree: Microsoft Conginitive Kit
upvoted 3 times
viplov
2 years, 9 months ago
abe chup saale
upvoted 3 times
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Akki0120
3 years, 4 months ago
If anyone wants all questions ping me 9403778084
upvoted 3 times
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azurecert2021
3 years, 4 months ago
yes Microsoft Cognitive TooKit for DNN.
upvoted 2 times
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sayak17
3 years, 11 months ago
I will go with microsoft cognitive toolkit for DNN https://docs.microsoft.com/en-us/cognitive-toolkit/examples#c-examples
upvoted 6 times
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ARC
4 years, 2 months ago
Microsoft Conginitive Kit fits better for DNN
upvoted 2 times
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amigi
4 years, 2 months ago
Vowpal Wabbit can also be used for Neural Networks: https://stackoverflow.com/questions/33441183/vowpal-wabbit-input-of-neural-network But it seems that only for nn with 1 hidden layer
upvoted 1 times
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jkuz
4 years, 3 months ago
https://docs.microsoft.com/en-us/cognitive-toolkit/ "CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, "
upvoted 3 times
Parzival
4 years, 2 months ago
I just also that.
upvoted 1 times
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kukushka
4 years, 4 months ago
The link is wrong here is correct one - https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/train-vowpal-wabbit-version-8-model
upvoted 3 times
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