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Free sample question, answered and explained below. The Associate Data Practitioner practice bank has 1,132 more like it. Try 10 free: instant score, no account.
An enterprise organization is designing a disaster recovery architecture for its critical analytical data stored in Google Cloud Storage. The architecture must satisfy the following operational requirements:
Which Cloud Storage location type should the organization configure for their storage bucket?
A zone is an individual deployment area located within a Google Cloud region, representing one or more discrete datacenters equipped with independent power, cooling, and network infrastructure. Services such as Compute Engine virtual machines and standard persistent disks are deployed at the zonal level.
The question involved provisioning single-instance infrastructure like Compute Engine virtual machines or single-zone Cloud SQL instances where low-cost, localized compute execution takes precedence over multi-zone or multi-region redundancy.
A dual-region is a Google Cloud Storage location type that replicates object data across two specific, user-selected Google Cloud regions located within the same general geographic boundary (such as nam4 for Iowa and South Carolina, or custom dual-region pairings like us-central1 and us-east1). It delivers active-active data access across both locations while managing underlying geo-redundant replication automatically.
A dual-region offers the optimal balance between high availability, geographic disaster recovery, and regulatory compliance. It avoids the full continental sprawl of multi-regions while providing multi-datacenter resiliency that single-region buckets cannot match.
A multi-region is a Cloud Storage location type that distributes and replicates data across a broad geographic territory containing at least two separate geographic regions (such as the entire United States US, Europe EU, or Asia ASIA).
The scenario required distributing data widely across an entire continent (such as all of North America or Europe) to optimize read latency for globally dispersed end-users, without requiring data restriction to two specific regional boundaries.
A region (or single-region) is a specific geographic location (such as us-central1 in Iowa or europe-west1 in Belgium) composed of at least three distinct, isolated zones. When data is stored in a single region, Cloud Storage redundantly stores the data across multiple zones within that specific geographic area.
The scenario prioritized lowest storage cost and minimum network latency for analytics jobs running compute clusters located within the exact same datacenter region, where cross-regional redundancy was not a mandatory requirement.
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