I think the third option about heterogeneous resource management is a key one. Being able to handle GPU, FPGA, and RDMA-enabled resources is crucial for running advanced AI/ML workloads efficiently.
Hmm, I'm not too familiar with Alibaba Cloud's container service, so I'll need to read through the options carefully. The question is asking for 3 correct answers, so I'll have to analyze each one.
This looks like a straightforward question about Alibaba Cloud's container service for Kubernetes and how it accelerates AI/ML workloads. I'll focus on the key features mentioned in the options.
Okay, the first option talks about supporting continuous training pipelines, the second one mentions scaling out to hundreds of nodes, and the third one covers heterogeneous resource management. Those all sound like relevant capabilities for accelerating AI/ML on Alibaba Cloud's container service.
Creating an adoption plan to get the Direct Sales team engaged with the Indirect Sales team could be a good way to bridge the gap and get everyone on the same page. That sell-with model could be really powerful.
The options look comprehensive. I would choose A, B, and C as the correct answers to cover the main aspects of accelerating AI/ML on Alibaba Cloud ACK.
A, B, and C seem to cover the key capabilities required for accelerating AI/ML on Alibaba Cloud ACK. The free resources in D sound too good to be true.
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