Explanation:
You may provide each of your pods with a consistent set of distinctive host names by using stateful sets
Explanation:
Designing an efficient cloud development and deployment strategy does not include minimizing the number of projects that are used in your GCP environment. The objective of cloud governance is to enable the consistent application of policies throughout the entire organization while also reducing the blast radius. The many-projects method can be used to accomplish this. Keeping the number of projects to a minimum prevents you from adequately managing access control and assigning tasks.
Explanation:
Making sure that your users have access to only what is necessary to perform their job obligations is the aim of the least privilege.
Explanation:
Rehydration of an AMI is not a metric, and AMIs are created by AWS and not the Google Cloud Platform.
Explanation:
Although all answers are technically valid, the question is seeking the best definition of the work of a Google Cloud Architect, which is an individual who can design, construct and manage resilient, secure, scalable, highly available, and dynamic solutions to drive business objectives.
Explanation:
The important thing to keep in mind is that in order for a service provider (in this case, GCP) to assume responsibility for its PaaS, the service must be made available as a managed service. GKE, a Kubernetes platform provided by GCP, is available. OpenShift, however, is not a PaaS service provided by Google. As a result, Google will not be held accountable for the architecture and internal workings of your OpenShift setups. All of the virtual machines that OpenShift will deploy as part of its GCP deployment must be managed. In light of the shared responsibility approach, this implementation is an IaaS.
Explanation:
The relational online transaction processing solution with petabyte scalability is called Cloud Spanner. Petabyte-scale data is not intended for use with Cloud SQL.