A financial services company is creating a Cloud SQL instance that must satisfy German data-residency rules: all data must remain in a single geographic area, yet the database should continue operating if one zone in that area becomes unavailable. In the Google Cloud console, which location type best meets these requirements?
A regional location (for example, europe-west3) keeps resources inside a single Google Cloud region, ensuring that data does not leave that geographic area. At the same time, the service can deploy synchronously replicated resources across multiple zones within that region, providing resilience against a single-zone outage. A zonal location provides no cross-zone redundancy, while a multi-regional or global location would place data in more than one region, violating the residency constraint.
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What is the difference between a zonal and regional location in Google Cloud?
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What are synchronous replicated resources in Google Cloud?
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Why can't multi-regional or global location types satisfy data-residency requirements?
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What is a Google Cloud region and zone?
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How does regional redundancy in Cloud SQL work?
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Why can't multi-regional or global locations meet German data-residency rules?
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GCP Associate Cloud Engineer
Setting up a cloud solution environment
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