Microsoft · AI-300
Workspace resources
AI-300 · Lesson 1 of 15 · 3:09
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In this lesson
Prepare for the AI-300 exam (Microsoft Certified: Machine Learning Operations Engineer Associate). In this lesson: the Azure Machine Learning workspace and its associated resources, datastores with stored credentials or identity-based access, compute instances, clusters that scale to zero, serverless compute, and the AzureML Data Scientist and Compute Operator roles. Includes three original practice questions.
Preview the topics
- A team adds a datastore for a storage account. Security forbids storing any account key or SAS token in the workspace. What should the team configure?
- A training cluster keeps two nodes running all weekend, although no job runs. The cluster must cost nothing when it is idle. What should the team change?
- A data scientist must run jobs, register models, and deploy endpoints, but must never create or delete compute. Which built-in role fits?