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Which Vertex AI capability should an ML Engineer use to track + compare experiment runs (hyperparameters, metrics, artifacts) across many training jobs?
ACloud DNS
BVertex AI Experiments (with Vertex AI TensorBoard for visualisation)
CManually noting metrics in a Google Doc
DCloud Memorystore
Answer & Solution
Correct answer: B. Vertex AI Experiments (with Vertex AI TensorBoard for visualisation)
Vertex AI Experiments + TensorBoard is GCP's experiment-tracking platform (per PMLE §2.3). The others aren't experiment trackers.
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