You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

• A.Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
• B.Reroute the user traffic from the affected region to other regions that don't report issues.
• C.Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
• D.Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

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Your organization wants to implement Site Reliability Engineering (SRE) culture and principles. Recently, a service that you support had a limited outage. A manager on another team asks you to provide a formal explanation of what happened so they can action remediations. What should you do?

• A.Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it with the manager only.
• B.Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it with the manager only.
• C.Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it on the engineering organization's document portal.
• D.Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it on the engineering organization's document portal.

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You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

• A.Use Stackdriver Kubernetes Engine Monitoring.
• B.Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
• C.Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
• D.Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

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You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

• A.Analyze the web proxy logs only and capture response time of each request.
• B.Modify the code to capture additional information for user interaction.
• C.Use current and historic Request Logs to trace customer interaction with the application.
• D.Create new synthetic clients to simulate a user journey using the application.
• E.Review current application metrics and add new ones as needed.

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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.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.
• B.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.
• C.In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
• D.Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.

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