You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?

• A.Establish a communication channel where incident responders and leads can communicate with each other.
• B.Look for ways to mitigate user impact and deploy the mitigations to production.
• C.Contact the affected service owners and update them on the status of the incident.
• D.Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

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You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

• A.In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
• B.Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
• C.Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.
• D.Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.

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You are ready to deploy a new feature of a web-based application to production. You want to use Google Kubernetes Engine (GKE) to perform a phased rollout to half of the web server pods.
What should you do?

• A.Use a partitioned rolling update.
• B.Use Node taints with NoExecute.
• C.Use a replica set in the deployment specification.
• D.Use a stateful set with parallel pod management policy.

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You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

• A.Compare the canary with a new deployment of the previous production version.
• B.Compare the canary with a new deployment of the current production version.
• C.Compare the canary with the average performance of a sliding window of previous production versions.
• D.Compare the canary with the existing deployment of the current production version.

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You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

• A.Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
• B.Create a Managed Instance Group with a single instance and use health checks to determine the system status.
• C.Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.
• D.File a bug with the development team so they can find the root cause of the crashing instance.

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