MLA-C01 exam dumps

MLA-C01 practice question 27 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 27

Select 2

You are designing a machine learning pipeline to process large volumes of training data stored across different AWS services. The pipeline requires high-throughput processing of image files stored in Amazon S3 and must also access a shared file system for temporary storage during preprocessing. Which combination of AWS services would be the most appropriate to meet these requirements?

  1. A

    Use Amazon S3 for storing the image files and Amazon FSx for NetApp ONTAP for the shared file system.

  2. B

    Use Amazon S3 for storing the image files and Amazon Elastic File System (Amazon EFS) for the shared file system.

  3. C

    Use Amazon Elastic File System (Amazon EFS) for storing the image files and Amazon FSx for NetApp ONTAP for the shared file system.

  4. D

    Use Amazon S3 for storing the image files and Amazon DynamoDB for the shared file system.

  5. E

    Use Amazon FSx for NetApp ONTAP for storing the image files and Amazon EFS for the shared file system.

Show answer and explanation

Correct answers: A, B

Explanation

Amazon S3 is the best choice for storing large datasets like image files due to its scalability and low cost. For the shared file system, both Amazon FSx for NetApp ONTAP and Amazon EFS are suitable options, depending on the specific workload requirements. Amazon EFS is a fully managed, elastic file system that integrates well with AWS machine learning services, while Amazon FSx for NetApp ONTAP provides additional enterprise-grade features for advanced use cases.

  • A. Correct.

    Correct. Amazon S3 is ideal for storing large volumes of data, such as image files, due to its scalability and low cost. Amazon FSx for NetApp ONTAP is suitable for creating a shared file system with high performance and flexibility.

  • B. Correct.

    Correct. Amazon S3 is designed for storing large datasets like image files, and Amazon EFS provides a managed, shared file system that can scale elastically and is integrated with many AWS services.

  • C. Incorrect.

    Incorrect. While Amazon EFS is a suitable shared file system, it is not designed for storing large datasets like image files; Amazon S3 is the better choice for this use case.

  • D. Incorrect.

    Incorrect. Amazon DynamoDB is a NoSQL database service and is not suitable for use as a shared file system or for storing image files.

  • E. Incorrect.

    Incorrect. Amazon FSx for NetApp ONTAP can be used as a shared file system, but it is not the best option for storing large datasets like image files compared to Amazon S3.

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