You recently migrated an on-premises monolithic application to a microservices application on Google Kubernetes Engine (GKE). The application has dependencies on backend services on-premises, including a CRM system and a MySQL database that contains personally identifiable information (PII). The backend services must remain on-premises to meet regulatory requirements.
You established a Cloud VPN connection between your on-premises data center and Google Cloud. You notice that some requests from your microservices application on GKE to the backend services are failing due to latency issues caused by fluctuating bandwidth, which is causing the application to crash. How should you address the latency issues?

A. Use Memorystore to cache frequently accessed PII data from the on-premises MySQL database

B. Use Istio to create a service mesh that includes the microservices on GKE and the on-premises services

C. Increase the number of Cloud VPN tunnels for the connection between Google Cloud and the on-premises services

D. Decrease the network layer packet size by decreasing the Maximum Transmission Unit (MTU) value from its default value on Cloud VPN








 

Correct Answer: A

This question is in Google Professional Cloud Developer Exam
For getting Google Professional Cloud Developer Certificate