A customer is migrating there on-promises data analytics solution to Google Cloud. The current solution has a lot of data being read form and written to disk. The performance of this approach has occasionally been a bottleneck for a scale of operations that your cus-tomer has. The application is fault tolerant and can with stand machine going down fre-quently. In moving to Google Cloud they are asking your advice on any way to improve performance?
You are working with a government agency. A web application serves users of the country. It al-lows citizens to receive certain services in providing their national identity. Citizens have com-plained that they are seeing delays in web page loading compared to before. On investigating, they are seeing a lot of spurious traffic coming in from a few IPs which they have identified as for-eign. What should they do?
A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be pre-allocated. Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the mo-ment. What would be your recommendation?
“With cloud messaging you can Customize and deliver messages accordingly to the predetermined time in the user's local time zone.” Comment on the above statement.
TESTED 21 Nov 2024
