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Which file format should an ML Engineer prefer for HIGH-VOLUME training data stored on Cloud Storage — providing efficient row-grouped reading + schema evolution for TensorFlow / PyTorch data pipelines?
ATFRecord (or Parquet for table data) — binary, compressed, splittable
BCloud DNS
CPlain text logs concatenated into a single huge file
DCloud Memorystore
Answer & Solution
Correct answer: A. TFRecord (or Parquet for table data) — binary, compressed, splittable
TFRecord / Parquet are efficient binary training formats (per PMLE §3.2). The other options aren't efficient training formats.
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