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Alibaba ACA-CloudNative Exam - Topic 9 Question 64 Discussion

Actual exam question for Alibaba's ACA-CloudNative exam

Question #: 64
Topic #: 9

[All ACA-CloudNative Questions]

Why is an RDMA network advantageous for machine learning tasks?

Score 2

ABecause it will accelerate the speed of communication between each node

BBecause it will improve the performance of an ML job

CBecause it will save costs

Show Suggested Answer

Suggested Answer: B, C, D

by Cecily at Jan 04, 2023, 09:17 PM

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Nohemi

10 months ago

Wait, how does it actually save costs?

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Glenn

10 months ago

Performance boost is a game changer!

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Dino

10 months ago

Really? I’m not sure it saves costs in the long run.

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Cassie

11 months ago

Totally agree, faster is better for ML!

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Titus

11 months ago

It speeds up communication between nodes!

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Dick

11 months ago

I feel like cost savings might be a benefit too, but I can't recall specific examples from my studies.

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Willetta

11 months ago

I practiced a question similar to this, and I think the speed of communication is definitely a key advantage.

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Jade

11 months ago

I’m not entirely sure, but I think it also reduces CPU overhead, right? That could be a big plus for performance.

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Karina

11 months ago

I remember RDMA helps with faster data transfer, which is crucial for distributed ML tasks.

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Clement

11 months ago

Hmm, I'm a bit unsure about this one. I'll have to think it through carefully before answering.

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Antonette

11 months ago

I've got this! The key is that the macro must be owned by the current user. That's the only requirement for a pipe to follow a macro.

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Bettina

11 months ago

I'm torn between the Broker service and the Monitoring service. Did both have additional connections, or was it just one of them?

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Kimbery

11 months ago

I remember something about device types, but I'm not completely certain if it's supposed to be the profile or something else. Could it be A instead?

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Edelmira

1 year ago

Wow, this question is a real brain-teaser. I'm just hoping the answer doesn't involve any quantum entanglement or warp drives, because that's a bit out of my league.

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Martin

1 year ago

B) Because it will improve the performance of an ML job

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Honey

1 year ago

A) Because it will accelerate the speed of communication between each node

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Leota

1 year ago

Hold up, did someone say 'save costs'? That's the real winner in my book! I'll take the RDMA network over the 'poor man's internet' any day.

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Fletcher

1 year ago

A and B seem like the obvious choices here. I mean, who doesn't want faster communication and better performance for their ML jobs? It's a no-brainer!

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Huey

1 year ago

B) Because it will improve the performance of an ML job

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Gilma

1 year ago

A) Because it will accelerate the speed of communication between each node

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Marge

1 year ago

The RDMA network is definitely advantageous for machine learning tasks. It's like having a supercharged highway for your data to zoom through, leaving the slow poke networks in the dust!

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Myong

1 year ago

C) Because it will save costs

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Julene

1 year ago

B) Because it will improve the performance of an ML job

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Celeste

1 year ago

A) Because it will accelerate the speed of communication between each node

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Iola

1 year ago

Yes, RDMA networks are like the fast lane for data!

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Florinda

1 year ago

C) Because it will save costs

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Brendan

1 year ago

B) Because it will improve the performance of an ML job

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Rochell

1 year ago

A) Because it will accelerate the speed of communication between each node

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Arlean

1 year ago

I also believe that RDMA networks can improve the performance of ML jobs by reducing latency and increasing throughput.

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Miss

1 year ago

I agree with Yuette. Faster communication means faster processing, which is crucial for ML jobs.

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Yuette

1 year ago

I think an RDMA network is advantageous for machine learning tasks because it accelerates communication between nodes.

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