You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

• A.Update the Deployment app-blue to use the new version of the application
• B.Update the Deployment ape-green to use the previous version of the application
• C.Change the selector on the Service app-2vc to app: my-app.
• D.Change the selector on the Service app-svc to app: my-app, version: blue

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You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

• A.An explanation of the root cause of the incident
• B.A list of employees responsible for causing the incident
• C.A list of action items to prevent a recurrence of the incident
• D.Your opinion of the incident's severity compared to past incidents
• E.Copies of the design documents for all the services impacted by the incident

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You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

• A.* Deploy the Stackdriver logging agent to the application servers.
  * Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
• B.* Deploy the Stackdriver monitoring agent to the application servers.
  * Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
• C.* Deploy the Stackdriver logging agent to the application servers.
  * Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
• D.* Install the gsutil command line tool on your application servers.
  * Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
  * Give the developers IAM Object Viewer access to view the logs in the specified bucket.

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As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the application runs for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

• A.Add high memory compute nodes to the cluster.
• B.Increase the memory limit in the application deployment.
• C.Add Cloud Trace to the application, and redeploy.
• D.Increase the CPU limit in the application deployment.

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You are performing a semiannual 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?

• A.Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
• B.Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
• C.Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
• D.Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.

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