Discover the diverse range of compute resources available in Azure Machine Learning Studio, including Compute Instances, Clusters, Attached Compute, and AKS Cluster Instances for efficient AI model development.

Question

What are the four types of Compute resources you can use in Azure Machine Learning Studio?

Please select all that apply.

A. Compute Instances
B. Automated ML instances
C. Compute clusters
D. Inference clusters
E. Classification clusters
F. Attached compute
G. AKS Cluster instances

Answer

Attached compute, Compute Instances, Compute Clusters, Inference Clusters

Explanation

When you open Compute blade in Microsoft Azure Machine Learning Studio, you can see all four compute resources:

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Alex Lim

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook