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Exam AWS Certified Machine Learning - Specialty topic 1 question 342 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 342
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A media company is building a computer vision model to analyze images that are on social media. The model consists of CNNs that the company trained by using images that the company stores in Amazon S3. The company used an Amazon SageMaker training job in File mode with a single Amazon EC2 On-Demand Instance.

Every day, the company updates the model by using about 10,000 images that the company has collected in the last 24 hours. The company configures training with only one epoch. The company wants to speed up training and lower costs without the need to make any code changes.

Which solution will meet these requirements?

  • A. Instead of File mode, configure the SageMaker training job to use Pipe mode. Ingest the data from a pipe.
  • B. Instead of File mode, configure the SageMaker training job to use FastFile mode with no other changes.
  • C. Instead of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Make no other changes,
  • D. Instead of On-Demand Instances, configure the SageMaker training job to use Spot Instances, implement model checkpoints.
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Suggested Answer: D 🗳️
by GS_77 at Sept. 7, 2024, 1:25 p.m.
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Carpediem78
1 month ago
Selected Answer: D
D. Instead of On-Demand Instances, configure the SageMaker training job to use Spot Instances, implement model checkpoints. Spot, implement model checkpoints.
upvoted 1 times
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CloudGyan
3 months, 1 week ago
Selected Answer: D
D addresses cost and checkpoints maintaining progress. B does not address cost.
upvoted 2 times
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ciscochamps
4 months, 3 weeks ago
Selected Answer: D
By combining Spot Instances for cost savings and model checkpoints to ensure training progress is not lost, the company can meet its goals of speeding up training, reducing costs, and maintaining robustness.
upvoted 2 times
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7f1fe73
6 months ago
Selected Answer: D
This option combines the cost savings of Spot Instances with the reliability of model checkpoints. Checkpointing allows the training job to resume from the last saved state in case of interruption, making it a robust choice for maintaining progress without losing work. While it suggests implementing checkpoints, the setup for checkpointing can typically be done with minimal changes, depending on the existing training setup.
upvoted 2 times
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MJSY
6 months, 2 weeks ago
Selected Answer: B
C will have some chance to low down the training speed, the B will not.
upvoted 1 times
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MultiCloudIronMan
7 months ago
Selected Answer: B
I think B, fastfile is built on pile and offers more
upvoted 2 times
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MultiCloudIronMan
7 months ago
Selected Answer: C
From Copilot - The correct answer is C. Instead of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Make no other changes. Switching to Spot Instances can help reduce costs significantly while still providing the necessary computational power, and it doesn’t require any code changes.
upvoted 1 times
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GS_77
7 months, 2 weeks ago
Selected Answer: B
FastFile mode provides the best balance
upvoted 3 times
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