Task 1.1: Ingest and Store Data MLA-C01 Practice Questions (Page 6)

Questions 26–27

1. 26expert · hard

   An ML team needs to train a model on a 5 TB dataset stored in Amazon S3. The training job runs on a cluster of EC2 instances and reads the data from S3. The team is experiencing high latency and low throughput during training, and they suspect S3 request rates are the bottleneck. The dataset consists of many small files. Which combination of actions would most effectively improve data extraction throughput?

   • AConsolidate the small files into larger Parquet files and use S3 Prefixes to distribute the data.
   • BUse S3 Transfer Acceleration to speed up the data transfer from S3 to EC2.
   • CMount the S3 bucket using S3FS and access it as a file system.
   • DUse S3 Prefixes to distribute the data across multiple partitions and increase the number of S3 requests per second.
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2. 27foundation · easy

   Which AWS feature is used to accelerate the upload of large files to Amazon S3 over long distances by using optimized network paths and edge locations?

   • AS3 Lifecycle Policies
   • BS3 Versioning
   • CS3 Transfer Acceleration
   • DS3 Cross-Region Replication
   Reveal Solution Discussion Select an answer first