Google Professional Cloud DevOps Engineer

Topic 1: Professional Cloud DevOps Engineer

You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users.

You need to implement a solution that will reduce the network cost. What should you do?

Topic 1: Professional Cloud DevOps Engineer

You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned

to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering

recommended practices. What should you do first?

Topic 1: Professional Cloud DevOps Engineer

You are performing a semi-annual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the

next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP), using a Google Kubernetes Engine (GKE) Standard regional

cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against

the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding

unnecessary costs. How should you prepare to handle the predicted growth?

Topic 1: Professional Cloud DevOps Engineer

Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the

image is updated while minimizing the development effort. What should you do?

Topic 1: Professional Cloud DevOps Engineer

Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to

another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within

five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:

* Mean Time to Detect (MTTD) in minutes

* Mean Time to Repair (MTTR) in minutes

* Mean Time Between Failure (MTBF) in days

* User Impact Percentage

The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new

database failing in one zone. What would be the values for the risk of database failover with the new system?