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GCP Professional Cloud Architect Practice Question

Your team is containerizing a scientific simulation platform on Google Kubernetes Engine. During a run, thousands of pods concurrently read and write millions of small checkpoint files (4-16 KB each) into a shared directory. The data must be visible to all pods immediately, and the simulation controller requires standard POSIX file semantics (open, append, rename). After each run, the entire dataset is deleted. Which Google Cloud storage option best satisfies these performance and access requirements while minimizing operational overhead?

  • Cloud Storage Standard class accessed through the gcsfuse driver

  • Filestore High Scale SSD tier

  • A Cloud Bigtable cluster with one column family per checkpoint and HFile export after completion

  • Regional Persistent Disks on each node with an rsync sidecar for synchronization

GCP Professional Cloud Architect
Designing and planning a cloud solution architecture
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