Professional-Cloud-DevOps-Engineer Exam Questions Tutorials

The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice’s deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice’s deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

Comprehensive and Detailed 150 to 200 words of Explanation From Google Cloud DevOps guides documents:

In Site Reliability Engineering (SRE), the most effective way to manage an SLO is through Burn Rate Alerting. According to Google Cloud’s SRE documentation, a burn rate is the speed at which the error budget is being consumed relative to the SLO's compliance period. Relying on simple threshold alerts (Option D) or manual dashboard checks (Option B) often leads to "alert fatigue" or missed signals because they do not account for the rate of depletion over time.

By creating an alerting policy in Cloud Monitoring specifically based on the burn rate, you can identify "fast burns" (sudden outages) and "slow burns" (gradual regressions like increased latency). The system calculates the projection; if the current rate of error budget consumption is high enough to exhaust the remaining budget before the end of the 30-day window, it triggers a proactive notification. This allows the team to intervene while they still have a portion of the error budget remaining, effectively preventing an SLO violation rather than merely reacting to one after the fact. This approach aligns perfectly with Google Cloud's recommended practices for automated, data-driven incident prevention.

The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods. A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).