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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 43 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 43
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

An ML engineer needs to use data with Amazon SageMaker Canvas to train an ML model. The data is stored in Amazon S3 and is complex in structure. The ML engineer must use a file format that minimizes processing time for the data.
Which file format will meet these requirements?

  • A. CSV files compressed with Snappy
  • B. JSON objects in JSONL format
  • C. JSON files compressed with gzip
  • D. Apache Parquet files
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Suggested Answer: D 🗳️
by GiorgioGss at Nov. 27, 2024, 10:37 p.m.
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Saransundar
1 month ago
Selected Answer: D
Minimize processing time: -Why Apache Parquet? Columnar, fast I/O; Efficient for complex data; Built-in compression; SageMaker Canvas compatible
upvoted 2 times
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GiorgioGss
1 month, 1 week ago
Selected Answer: D
Parquet is optimized for performance
upvoted 2 times
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