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Microsoft DP-100 Exam - Topic 3 Question 85 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 85
Topic #: 3
[All DP-100 Questions]

You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace. You need to use Intellisense in the notebook. What should you do?

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Suggested Answer: B

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Rory
3 months ago
Isn't it surprising that stopping the instance is an option here?
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Teddy
4 months ago
I disagree, I always use !pip for my installations.
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Dong
4 months ago
Wait, can you really use Intellisense without starting the instance?
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Cherelle
4 months ago
I think running a %pip magic function is the way to go.
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Lawanda
4 months ago
You definitely need to start the compute instance first!
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Truman
4 months ago
Stopping the compute instance seems wrong; I think we need it running for Intellisense to work properly.
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Jackie
5 months ago
I have a vague memory of using !pip in a different scenario, but I don't know if it applies here. Should I be using that instead?
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Fernanda
5 months ago
I remember practicing with magic functions, and I feel like using %pip might be the right choice here, but I can't recall the exact context.
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Corinne
5 months ago
I think starting the compute instance is definitely necessary for using Intellisense, but I'm not completely sure if that's all I need to do.
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Jules
5 months ago
Okay, let's see. Both servers need to be registered in different Host Groups, and port security needs to be enabled. That seems straightforward enough.
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Gertude
5 months ago
I'm a bit confused by the formatting of the question. I'll need to make sure I understand the syntax before I can answer.
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Lovetta
5 months ago
I might eliminate options that don't match the full scenario. 'Financial disclosure' seems more like a reporting action, not the actual problem.
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MA
3 years ago
answer: A Refer to below link for "When a compute instance is running, you can also use code completion, powered by Intellisense, in any Python notebook." https://learn.microsoft.com/en-us/azure/machine-learning/how-to-run-jupyter-notebooks?view=azureml-api-2
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