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 s
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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