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Alibaba Exam ACA-CloudNative Topic 2 Question 95 Discussion

Actual exam question for Alibaba's ACA-CloudNative exam
Question #: 95
Topic #: 2
[All ACA-CloudNative Questions]

How does Alibaba Cloud accelerate AI/ML on Alibaba Cloud Container Service for Kubernetes

(ACK)? (Number of correct answers: 3)

Score 2

Show Suggested Answer Hide Answer
Suggested Answer: A, B, C, D, E, F

Contribute your Thoughts:

Rosalind
1 months ago
Free resources? Sign me up! Although, I'm pretty sure that's just a typo and not a real option. A, B, and C it is.
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Blair
9 days ago
User 2: Yeah, I agree. B is also important, scales out to support model training.
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Vernice
14 days ago
User 1: I think A sounds good, supports continuous training pipelines.
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Pauline
1 months ago
Alibaba is known for its powerful cloud services, so I'm not surprised to see these advanced features for AI/ML workloads. A, B, and C are my picks.
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Eva
2 days ago
Definitely, the support for heterogeneous resource management, including GPU, FPGA, and RDMA-enabled resources, is crucial for AI/ML workloads.
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Daisy
3 days ago
Yes, and the ability to scale out to hundreds of nodes for AI/ML model training is a game changer.
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Louisa
1 months ago
I agree, Alibaba Cloud's support for continuous training pipelines is really impressive.
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Ashlyn
2 months ago
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.
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Marva
1 months ago
I agree, the options look comprehensive.
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Darnell
1 months ago
Yes, those options cover the main aspects of accelerating AI/ML on Alibaba Cloud ACK.
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Lorrie
1 months ago
I think A, B, and C are the correct answers.
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Kris
2 months ago
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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Lili
17 days ago
C) Supports heterogeneous resource management, including management of GPU, FPGA, and RDMA-enabled resources
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Burma
24 days ago
B) Scales out to hundreds of nodes to support AI/ML model training
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Lorenza
25 days ago
A) Supports continuous training pipelines with composable workflow
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Miss
2 months ago
I'm not sure, but I think the answer might be B, as scaling out to hundreds of nodes can support AI/ML model training effectively.
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Marget
2 months ago
I believe the answer is C, because managing GPU, FPGA, and RDMA resources is crucial for accelerating AI/ML.
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Joanna
2 months ago
I think the answer is A, because continuous training pipelines are important for AI/ML.
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