MLA-C01 exam dumps

MLA-C01 practice question 38 of 458

AWS Certified Machine Learning Engineer - Associate. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

MLA-C01 Question 38

Single answer

You are building a machine learning pipeline to process and store large volumes of video data used for training a computer vision model. The videos need to be stored cost-effectively, but they also need to be accessed frequently during the training phase. Which AWS storage option is the most suitable for this use case?

  1. A

    Amazon S3 Standard

  2. B

    Amazon S3 Glacier

  3. C

    Amazon EBS General Purpose SSD (gp3)

  4. D

    Amazon EFS

Show answer and explanation

Correct answer: A

Explanation

Amazon S3 Standard is the best choice for this use case because it balances cost-effectiveness with the ability to frequently access the stored video data during the training phase. Other options like Amazon S3 Glacier are not suitable due to infrequent access, while Amazon EBS and Amazon EFS are either over-optimized for use cases requiring low latency or too expensive for this scenario.

  • A. Correct.

    Amazon S3 Standard is designed for frequently accessed data and provides a cost-effective solution with high durability, making it suitable for this use case.

  • B. Incorrect.

    Amazon S3 Glacier is optimized for long-term archival storage and infrequent access, which would not meet the frequent access requirements of this use case.

  • C. Incorrect.

    Amazon EBS General Purpose SSD (gp3) is a block storage option typically used for running applications on EC2 instances, not for storing large volumes of data like videos for ML training.

  • D. Incorrect.

    Amazon EFS is a distributed file system for low-latency, high-throughput workloads, but it is generally more expensive compared to Amazon S3 Standard for storing large datasets.

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