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Answer: Create a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region.
The question requires meeting data residency requirements (data stored in each country) while minimizing costs. Data residency mandates that each region's data must reside locally, so separate Cloud Storage buckets in each region are necessary (eliminating options C and D which use multi-region buckets). Deploying Cloud Run in each region alongside the buckets (Option A) ensures that data processing occurs in the same region as the storage, avoiding cross-region data transfer costs. Option B places Cloud Run only in Singapore, leading to cross-region data access from Jakarta/Hong Kong/Taiwan buckets to Singapore, incurring higher egress costs. Thus, Option A balances compliance and cost efficiency by colocating services and storage per region.
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You work at a fast-growing fintech startup managing a Go-based payment processing application hosted on Cloud Run in asia-southeast1 (Singapore). The application processes data from a Cloud Storage bucket also located in Singapore.
The startup is expanding into Jakarta, Hong Kong, and Taiwan within six months, with data residency requirements mandating that customer data must stay in the country where the transaction occurs. How can you deploy the Payment Gateway across these regions while minimizing costs?
A
Create a Cloud Storage bucket in each region, and create a Cloud Run service of the payment processing application in each region.
B
Create a Cloud Storage bucket in each region, and create three Cloud Run services of the payment processing application in the Singapore region.
C
Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run services of the payment processing application in the Singapore region.
D
Create three Cloud Storage buckets in the Asia multi-region, and create three Cloud Run revisions of the payment processing application in the Singapore region.
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