SAA-C03 · Question #249
A company is planning to run an AI/ML workload on AWS. The company needs to train a model on a dataset that is in Amazon S3 Standard. A model training application requires multiple compute nodes and…
The correct answer is C. Move the data to S3 Express One Zone. Point the model training application to S3 Express One. Amazon S3 Express One Zone provides single-digit millisecond latency and high throughput, making it ideal for ML workloads that require multiple compute nodes and fast access. It is also more cost- effective than traditional file or block storage for temporary, high-speed needs.
Question
A company is planning to run an AI/ML workload on AWS. The company needs to train a model on a dataset that is in Amazon S3 Standard. A model training application requires multiple compute nodes and single-digit millisecond access to the data. Which solution will meet these requirements in the MOST cost-effective way?
Options
- AMove the data to S3 Intelligent-Tiering. Point the model training application to S3 Intelligent-
- BAdd partitions to the S3 bucket by adding random prefixes. Reconfigure the model training
- CMove the data to S3 Express One Zone. Point the model training application to S3 Express One
- DMove the data to a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon
How the community answered
(26 responses)- A4% (1)
- B4% (1)
- C81% (21)
- D12% (3)
Explanation
Amazon S3 Express One Zone provides single-digit millisecond latency and high throughput, making it ideal for ML workloads that require multiple compute nodes and fast access. It is also more cost- effective than traditional file or block storage for temporary, high-speed needs.
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