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Amazon Exam MLS-C01 Topic 3 Question 111 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 111
Topic #: 3
[All MLS-C01 Questions]

An ecommerce company wants to train a large image classification model with 10.000 classes. The company runs multiple model training iterations and needs to minimize operational overhead and cost. The company also needs to avoid loss of work and model retraining.

Which solution will meet these requirements?

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Suggested Answer: D

Amazon SageMaker managed spot training allows for cost-effective training by utilizing Spot Instances, which are lower-cost EC2 instances that can be interrupted when demand is high. By enabling checkpointing in SageMaker, the company can save intermediate model states to Amazon S3, allowing training to resume from the last checkpoint if interrupted. This solution minimizes operational overhead by automating the checkpointing process and resuming work after interruptions, reducing the need for retraining from scratch.

This setup provides a reliable and cost-efficient approach to training large models with minimal operational overhead and risk of data loss.


by Lavonne at Jan 24, 2025, 11:23 PM

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Josefa
2 days ago
Hold up, are we sure we can't just train this model on a single beefy EC2 instance? I mean, how hard can 10,000 classes be, right? *laughs nervously*
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Mari
6 days ago
I'm putting my money on C. Using Lambda to run the training jobs and saving the model weights to S3? That's some next-level cloud-native goodness right there.
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Solange
6 days ago
That's true, SageMaker could also be a good option for minimizing operational overhead.
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Latonia
13 days ago
Hmm, I'm torn between B and D. Saving the model to S3 before instances get terminated is a nice safety net, but the SageMaker option seems more seamless. Decisions, decisions...
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Zack
19 days ago
Option D definitely seems like the way to go. Managed spot training in SageMaker with checkpointing? That's the perfect combo for this use case. Gotta love that AWS magic.
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Justine
3 days ago
I agree, using managed spot training in Amazon SageMaker with checkpointing enabled would definitely help minimize operational overhead and cost while avoiding loss of work and model retraining.
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Keneth
5 days ago
Option D definitely seems like the way to go. Managed spot training in SageMaker with checkpointing? That's the perfect combo for this use case. Gotta love that AWS magic.
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Denny
26 days ago
But what about option D with Amazon SageMaker? It has checkpointing enabled.
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Queen
26 days ago
I agree, using AWS Batch with Spot Instances can help minimize costs.
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Solange
1 months ago
I think option A sounds like a good choice.
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