Answer-first summary for fast verification
Answer: Start the compute instance.
The correct answer is B because Intellisense in Azure Machine Learning Studio notebooks requires a running compute instance to provide code completion and inline error highlighting. The community discussion shows strong consensus for option B with multiple upvoted comments explaining that Intellisense depends on the compute instance being active. Options C and D (%pip and !pip magic functions) are incorrect because they are used for package installation, not for enabling Intellisense functionality. Option A (stopping the compute instance) would actually disable Intellisense rather than enable it. Microsoft documentation confirms that when a compute instance is running, you can use code completion powered by Intellisense in Python notebooks.
Author: LeetQuiz Editorial Team
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You create an Azure Machine Learning workspace that includes a compute instance. You are developing a notebook using the Python SDK v2 within this workspace.
What should you do to enable IntelliSense in the notebook?
A
Stop the compute instance.
B
Start the compute instance.
C
Run a %pip magic function on the compute instance.
D
Run a !pip magic function on the compute instance.
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