Google Professional Cloud Security Engineer Question 477
Single answerGoogle Cloud PlatformYour company is deploying a new application on Google Cloud. The application processes sensitive customer data and requires compliance with data residency regulations. It also has high throughput requirements for data processing and needs to be accessible from multiple locations with low latency. Which of the following approaches would best address the technical needs relative to compute, data, network, and storage?
- A
Use a multi-region Cloud Storage bucket for data storage, deploy the application to multiple Google Cloud regions, and use a global load balancer.
- B
Use a single-region Cloud Storage bucket in the region closest to your customers and deploy the application only in that region.
- C
Use a regional Cloud SQL instance, deploy the application in a single region, and use a regional load balancer.
- D
Store data in BigQuery with a multi-region dataset, deploy the application to multiple regions, and use a global load balancer.
Show answer and explanation
Correct answer: A
Explanation
The correct answer balances the technical needs of data residency compliance, high throughput, and low latency. Using a multi-region Cloud Storage bucket ensures compliance with regulations while being accessible from multiple locations. Deploying the application in multiple regions and using a global load balancer improves performance and availability, addressing the throughput and latency requirements.
- A. Correct.
This is the correct answer because it ensures compliance with data residency regulations by using a multi-region bucket, achieves high throughput by deploying the application in multiple regions, and reduces latency with a global load balancer.
- B. Incorrect.
This option may comply with certain data residency requirements but does not address the need for high throughput or low latency since it limits deployment to a single region.
- C. Incorrect.
This option is not suitable for high throughput or global access since it uses a single region for both compute and network resources. Additionally, regional load balancers are not ideal for low-latency global access.
- D. Incorrect.
While BigQuery is useful for analytics, it is not the optimal choice for storing sensitive customer data requiring data residency compliance. Additionally, this option does not directly address storage or networking needs for high-throughput, low-latency application performance.