Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25

- Free Preparation Discussions

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

Limited Time Offer

25%

Off

Get Premium ACA-CloudNative Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Nohemi

7 months ago

Wait, how does it actually save costs?

upvoted 0 times

...

Glenn

7 months ago

Performance boost is a game changer!

upvoted 0 times

...

Dino

7 months ago

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

upvoted 0 times

...

Cassie

8 months ago

Totally agree, faster is better for ML!

upvoted 0 times

...

Titus

8 months ago

It speeds up communication between nodes!

upvoted 0 times

...

Dick

8 months ago

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

upvoted 0 times

...

Willetta

8 months ago

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

upvoted 0 times

...

Jade

8 months ago

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

upvoted 0 times

...

Karina

8 months ago

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

upvoted 0 times

...

Clement

8 months ago

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

upvoted 0 times

...

Antonette

8 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.

upvoted 0 times

...

Bettina

8 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?

upvoted 0 times

...

Kimbery

8 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?

upvoted 0 times

...

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.

upvoted 0 times

Martin

1 year ago

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

upvoted 0 times

...

Honey

1 year ago

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

upvoted 0 times

...

...

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.

upvoted 0 times

...

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!

upvoted 0 times

Huey

1 year ago

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

upvoted 0 times

...

Gilma

1 year ago

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

upvoted 0 times

...

...

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!

upvoted 0 times

Myong

11 months ago

C) Because it will save costs

upvoted 0 times

...

Julene

12 months ago

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

upvoted 0 times

...

Celeste

12 months ago

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

upvoted 0 times

...

Iola

1 year ago

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

upvoted 0 times

...

Florinda

1 year ago

C) Because it will save costs

upvoted 0 times

...

Brendan

1 year ago

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

upvoted 0 times

...

Rochell

1 year ago

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

upvoted 0 times

...

...

Arlean

1 year ago

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

upvoted 0 times

...

Miss

1 year ago

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

upvoted 0 times

...

Yuette

1 year ago

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

upvoted 0 times

...