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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:

Section	Objectives
Topic 1: Implement security and compliance	- Compliance and governance 1. Audit logging and policy enforcement - Secure CI/CD pipelines 1. Secret and credential management 2. IAM and least privilege access
Topic 2: Implement site reliability engineering (SRE) practices	- Incident management and postmortems 1. Alerting and on-call practices - Define and manage SLI, SLO, and SLA 1. Error budgets and monitoring strategies
Topic 3: Optimize performance and continuous delivery	- System performance optimization 1. Scaling strategies and load handling - Monitoring and observability 1. Cloud Monitoring and Logging 2. Performance tuning and feedback loops
Topic 4: Develop and implement CI/CD pipelines	- Build and manage CI/CD pipelines using Google Cloud tools 1. Cloud Build pipeline design 2. Artifact repository management - Automate build, test, and deployment processes 1. Deployment automation strategies 2. Release management practices

>> Professional-Cloud-DevOps-Engineer練習問題 <<

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q26-Q31):

質問 # 26
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?

A. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
B. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
C. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
D. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

正解：D

解説：
Explanation
https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics The Google Cloud HTTP Load Balancer (GCLB) provides metrics on the number of requests and the response latency for each backend service. These metrics can be used as custom metrics for the horizontal pod autoscaler (HPA) to scale the deployment based on the load. This is the correct solution to use an appropriate SLI for scaling.

質問 # 27
You support a large service with a well-defined Service Level Objective (SLO). The development team deploys new releases of the service multiple times a week. If a major incident causes the service to miss its SLO, you want the development team to shift its focus from working on features to improving service reliability. What should you do before a major incident occurs?

A. Negotiate with the product team to always prioritize service reliability over releasing new features.
B. Negotiate with the development team to reduce the release frequency to no more than once a week.
C. Develop an appropriate error budget policy in cooperation with all service stakeholders.
D. Add a plugin to your Jenkins pipeline that prevents new releases whenever your service is out of SLO.

正解：C

解説：
Reason : Incident has not occurred yet, even when development team is already pushing new features multiple times a week. The option A says, to define an error budget "policy", not to define error budget(It is already present). Just simple means to bring in all stakeholders, and decide how to consume the error budget effectively that could bring balance between feature deployment and reliability.
The goals of this policy are to: -- Protect customers from repeated SLO misses -- Provide an incentive to balance reliability with other features https://sre.google/workbook/error-budget-policy/

質問 # 28
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 applicationruns 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. Add Cloud Trace to the application, and redeploy.
C. Increase the memory limit in the application deployment.
D. Increase the CPU limit in the application deployment.

正解：C

質問 # 29
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

A. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
B. Assign the Container Developer role to the Cloud Build service account.
C. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
D. Create a new service account with the Container Developer role and use it to run Cloud Build.

正解：B

解説：
Explanation
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts

質問 # 30
You are creating and assigning action items in a postmodern for an outage. The outage is over, but you need to address the root causes. You want to ensure that your team handles the action items quickly and efficiently. How should you assign owners and collaborators to action items?

A. Assign collaborators but no individual owners to the items to keep the postmortem blameless.
B. Assign multiple owners for each item to guarantee that the team addresses items quickly
C. Assign one owner for each action item and any necessary collaborators.
D. Assign the team lead as the owner for all action items because they are in charge of the SRE team.

正解：C

質問 # 31
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