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Amazon MLS-C01 Exam - Topic 1 Question 127 Discussion

[Modeling]A Machine Learning Specialist observes several performance problems with the training portion of a machine learning solution on Amazon SageMaker The solution uses a large training dataset 2 TB in size and is using the SageMaker k-means algorithm The observed issues include the unacceptable length of time it takes before the training job launches and poor I/O throughput while training the modelWhat should the Specialist do to address the performance issues with the current solution?
C) Ensure that the input mode for the training job is set to Pipe.
A) Use the SageMaker batch transform feature
B) Compress the training data into Apache Parquet format.
D) Copy the training dataset to an Amazon EFS volume mounted on the SageMaker instance.

Amazon MLS-C01 Exam - Topic 1 Question 127 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 127
Topic #: 1
[All MLS-C01 Questions]

[Modeling]

A Machine Learning Specialist observes several performance problems with the training portion of a machine learning solution on Amazon SageMaker The solution uses a large training dataset 2 TB in size and is using the SageMaker k-means algorithm The observed issues include the unacceptable length of time it takes before the training job launches and poor I/O throughput while training the model

What should the Specialist do to address the performance issues with the current solution?

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Suggested Answer: C

by Jolene at Mar 02, 2026, 09:54 PM

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Melissa
3 days ago
I think option B is the best. Parquet is efficient.
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Deeanna
8 days ago
I'm leaning towards A. Batch transform might optimize it.
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Roxane
13 days ago
Option D sounds good for faster access. EFS is reliable.
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Gaynell
18 days ago
I agree, but option C could help with I/O too.
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Bea
23 days ago
I think option B is the best. Parquet is efficient.
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Wava
29 days ago
2 TB? Wow, that’s a lot of data to handle!
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Pearline
1 month ago
Pipe input mode is a game changer for training times!
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Arthur
3 months ago
Not sure about the EFS option, seems like extra steps.
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Freeman
3 months ago
Definitely agree, compression helps with I/O.
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Shayne
3 months ago
I heard using Apache Parquet can really speed things up!
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Geoffrey
3 months ago
2 TB of data? Wow, that sounds like a nightmare to manage!
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Shawna
3 months ago
Setting input mode to Pipe is a game changer for I/O!
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Stephane
3 months ago
Not sure about the EFS option, isn't that slower?
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Melinda
4 months ago
Definitely agree with that, compression helps a lot.
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Vanesa
4 months ago
I heard using Apache Parquet can really speed things up!
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Ciara
4 months ago
I’m a bit confused about the batch transform feature. I thought it was more for inference rather than training, so I’m leaning away from option A.
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Deonna
4 months ago
I feel like we practiced a question similar to this, and I think using EFS might not be the best option because it could introduce more latency.
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Bettyann
4 months ago
I'm not entirely sure, but I think setting the input mode to Pipe could help with I/O throughput. It seems like it could speed things up.
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Sheridan
5 months ago
I remember we discussed the importance of data format in class, so maybe option B is a good choice since Parquet is optimized for performance.
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