Crucial Exams

GCP Professional Cloud Architect Practice Question

Your company is migrating its machine-learning workflow to Google Cloud. Compliance requires an auditable record of every dataset, model artifact, and hyperparameter used during training. The data-science team also wants a fully managed solution that orchestrates training, validation, and batch-prediction steps while provisioning compute only for the duration of each step to control costs. Which Vertex AI capability should you adopt first to satisfy these goals?

  • Vertex AI Experiments for tracking runs and metrics

  • Vertex ML Metadata API invoked from custom scripts

  • Vertex AI Pipelines using Kubeflow Pipelines templates

  • Vertex AI Prediction with AutoML models for online serving

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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