~/gcp-pmle · Serve and scale models ▊
← Professional Machine Learning Engineer
GCP · objective · 17% of the exam
Serve and scale models — Professional Machine Learning Engineer
The official GCP documentation our Serve and scale models practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Google Cloud — AI and Machine Learning Products and Services | Google Cloud
Ideal for AI models that may have intermitten traffic Scale down to zero, pay only when your code is running
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Google Cloud — Batch: Simplicity for Batch Computing | Google Cloud
Batch provides a consistent experience for Docker containerized workloads and script based workloads that run directly on VMs.
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Google Cloud — Spot VMs | Google Cloud
Spot VMs offer the same machine types, options, and performance as regular instances while reducing your Compute Engine costs by up to 91%.