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Google Professional-Cloud-DevOps-Engineer 認定試験の出題範囲：

トピック出題範囲
トピック 1
  • Create environments dynamically per feature branch with GKE, Cloud Deployment Manager
  • Collecting third-party and structured logs with Stackdriver Logging, Fluentd
トピック 2
  • Implementing SLO monitoring and alerting with Stackdriver Monitoring
  • Ensure healthy communication and collaboration for operations
トピック 3
  • Manage different development environments
  • Vulnerability analysis with Container Registry
トピック 4
  • Communicate postmortem to stakeholders
  • Agree to consequences of not meeting the error budget
  • Construct feedback loops to decide what to build next
トピック 5
  • Artifact repositories with Container Registry
  • Balance change, velocity, and reliability of the service
トピック 6
  • Implementing service monitoring strategies
  • Develop plan to optimize areas of greatest cost or lowest utilization
トピック 7
  • Perform investigation to isolate most likely actual cause
  • Applying site reliability engineering principles to a service
トピック 8
  • Immutable artifacts with Container Registry
  • Deployment strategies with Cloud Build, Spinnaker
トピック 9
  • Testing a new version with Spinnaker
  • Decide on the number of environments and their purpose

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q25-Q30):

質問 # 25
Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

  • A. Ensure that test cases that catch errors of this type are run successfully before new software releases.
  • B. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
  • C. Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.
  • D. Identify engineers responsible for the incident and escalate to their senior management.

正解：B


質問 # 26
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 at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
  • C. 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.
  • D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

正解：D


質問 # 27
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

  • A. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
  • B. An availability SLI: the ratio of healthy microservices to the total number of microservices
  • C. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
  • D. A quality SLI: the ratio of non-degraded responses to total responses

正解：A


質問 # 28
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

  • A. A synthetic client that periodically sends simulated user requests
  • B. Metrics exported from the application servers
  • C. GKE health checks for your application servers
  • D. Your application servers' logs
  • E. Instrumentation coded directly in the client

正解：A、E


質問 # 29
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?

  • A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
  • B. Use Stackdriver Logging to create a logs-based metric from the Cloud Build logs. Create an Alert with a Webhook notification type.
  • C. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
  • D. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.

正解：A


質問 # 30
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