Google Professional Cloud Security Engineer
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Your organization processes large volumes of potentially sensitive location data in Google Cloud for analysis and visualization. You need to design a solution for securely storing and processing this data that minimizes exposure risks and complies with regulatory requirements and internal data residency policies. What should you do?
Your organization processes large volumes of potentially sensitive location data in Google Cloud for analysis and visualization. You need to design a solution for securely storing and processing this data that minimizes exposure risks and complies with regulatory requirements and internal data residency policies. What should you do?
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A
Enable location restrictions on Compute Engine instances and virtual disk resources where the data is handled. Apply labels to tag geographic metadata for all stored data.
B
Use the Cloud Data Loss Prevention (Cloud DLP) API to scan for sensitive location data before any storage or processing. Create Cloud Storage buckets with global availability for optimal performance, relying on Cloud DLP results to filter and control data access.
C
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