Home › GCP ML Engineer › cloudcomputing › mletraining › Which GCP service should an ML Engineer use to S…
Which GCP service should an ML Engineer use to STORE training data (images, audio, video) at scale before feeding it to a Vertex AI training job — referenced in PMLE §3.2?
ACloud Filestore (POSIX-only, smaller-scale)
BCloud Memorystore
CCloud Storage
DCloud DNS
Answer & Solution
Correct answer: C. Cloud Storage
Cloud Storage is the default training-data store (per PMLE §3.2). The others aren't large-scale object stores.
Related questions
Which compute option should an ML Engineer choose for an INFERENCE workload on a low-powerWhich Vertex AI capability should an ML Engineer use to train a model on data PARTITIONED Which Vertex AI feature should an ML Engineer use to deploy a Kubeflow-Pipelines DAG runniWhich interpretability requirement should an ML Engineer balance against accuracy when CHOWhich Vertex AI workflow should an ML Engineer use to build a TABULAR ML model with featurWhich file format should an ML Engineer prefer for HIGH-VOLUME training data stored on CloWhich Vertex AI / Model Garden capability should an ML Engineer use to FINE-TUNE a foundatWhich Vertex AI capability should an ML Engineer use to automatically search over a hyperp