Which solution will meet these requirements?

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In: MLS-C01
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A geospatial analysis company processes thousands of new satellite images each day to produce vessel detection data for commercial shipping.The company stores the training data in Amazon S3.The training data incrementally increases in size with new images each day.The company has configured an Amazon SageMaker training job to use a single ml.p2.xlarge instance with File input mode to train the built-in Object Detection algorithm.The training process was successful last month but is now failing because of a lack of storage.Aside from the addition of training data, nothing has changed in the model training process.A machine learning (ML) specialist needs to change the training configuration to fix the problem.The solution must optimize performance and must minimize the cost of training.

Which solution will meet these requirements?

Modify the training configuration to use two ml.p2.xlarge instances.

Modify the training configuration to use Pipe input mode.

Modify the training configuration to use a single ml.p3.2xlarge instance.

Modify the training configuration to use Amazon Elastic File System (Amazon EFS) instead of Amazon S3 to store the input training data.

Explanations:

Using two ml.p2.xlarge instances will increase the cost and may not solve the storage issue since the bottleneck is related to input data size. Simply adding more instances won’t address the storage problem.

Using Pipe input mode allows for streaming data directly from Amazon S3 to the training job. This method avoids the need for storing all the data on the local disk of the instance, which resolves the storage limitation while optimizing performance.

The ml.p3.2xlarge instance is a more powerful instance with better GPU performance but does not address the storage problem related to input data size. It is not cost-effective for this specific issue, as it does not solve the root cause.

Using Amazon EFS for input data storage is not necessary and would add extra cost for an NFS solution. S3 is already a highly optimized and cost-effective storage solution for training data, and switching to EFS would not resolve the storage issue effectively.

2026-04-03

2 Comments

  1. Jeffrey
    Author

    I calculate that the answer is:
    Modify the training configuration to use Pipe input mode.

  2. Samuel
    Author

    I would say the answer is:
    Modify the training configuration to use Pipe input mode.

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