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Which Vertex AI capability should an ML Engineer use to train a model on data PARTITIONED across multiple workers — for datasets too large to fit on a single accelerator?
ACloud Memorystore
BSingle-worker training only
CCloud DNS
DVertex AI distributed training (data parallelism across workers, optionally with model parallelism)
Answer & Solution
Correct answer: D. Vertex AI distributed training (data parallelism across workers, optionally with model parallelism)
Distributed training enables data parallelism + model parallelism (per PMLE §3.2). The other options can't scale.
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