Google Professional-Cloud-DevOps-Engineer Exam With Confidence Using Practice Dumps

Monitor latency of your services for average percentile latency.

Review your increased capacity requirements and plan for the required quota management.

Create alerts in Cloud Monitoring for all common failures that your application experiences.

Ensure that relevant system metrics are being captured with Cloud Monitoring and create alerts at levels of interest.

Configure Anthos Service Mesh on the application to identify issues on the topology map.

Develop an appropriate error budget policy in cooperation with all service stakeholders.

Negotiate with the product team to always prioritize service reliability over releasing new features.

Negotiate with the development team to reduce the release frequency to no more than once a week.

Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

Create one Google Cloud project per team In each project create a cluster for development and one forproduction Grant the teams Identity and Access Management (1AM) access to their respective clusters

Create one Google Cloud project per team In each project create a cluster with a Kubernetes namespacefor development and one for production Grant the teams Identity and Access Management (1AM) access to their respective clusters.

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Identity-Aware Proxy so that each team can onlyaccess its own namespace

Create a development and a production GKE cluster in separate projects In each cluster create a Kubernetes namespace per team and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace