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

Section	Weight	Objectives
Topic 1: Monitoring, Logging, and Debugging	12%	- Cloud Operations Suite 1. Creating uptime checks and alerts 2. Configuring Cloud Monitoring metrics 3. Implementing Cloud Logging with log sinks - Debugging and troubleshooting 1. Using Cloud Debugger and Error Reporting 2. Analyzing performance profiles with Cloud Profiler 3. Debugging with Cloud Trace distributed tracing - Log management 1. Configuring log retention policies 2. Implementing log-based metrics 3. Structuring logs for efficient querying
Topic 2: Reliability and Site Reliability Engineering (SRE)	24%	- Monitoring and observability 1. Configuring Cloud Monitoring and Logging 2. Creating dashboards for service health visibility 3. Setting up alerting policies and incident management 4. Implementing distributed tracing with Cloud Trace - SLOs, SLIs, and SLAs 1. Creating and interpreting Service Level Indicators 2. Setting appropriate Service Level Agreements 3. Defining and implementing Service Level Objectives 4. Error budget policies and management - Incident management 1. Implementing on-call procedures 2. Post-incident reviews and blameless postmortems 3. Configuring automated incident response
Topic 3: CI/CD Pipeline Development	26%	- Designing and implementing CI/CD pipelines 1. Setting up artifact management with Artifact Registry 2. Configuring build caching strategies 3. Implementing build automation scripts 4. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 5. Configuring build triggers and webhooks - CI/CD best practices 1. Configuring quality gates and code coverage 2. Implementing shift-left testing 3. Managing secrets in CI/CD pipelines - Containerization and Docker 1. Creating optimized Docker images (multi-stage builds) 2. Implementing container security best practices 3. Managing container registries
Topic 4: Cloud Infrastructure Automation	24%	- Configuration management 1. Using Ansible for configuration management 2. Managing secrets with Secret Manager 3. Implementing configuration drift detection - Deployment strategies 1. Canary releases and progressive rollouts 2. Rolling updates with Kubernetes 3. Feature flags with Firebase Remote Config or LaunchDarkly 4. Blue-green deployments - Infrastructure as Code (IaC) 1. Implementing immutable infrastructure patterns 2. Implementing with Terraform 3. Managing infrastructure modules and state
Topic 5: Microservices Architecture	14%	- API management 1. Exposing APIs with Cloud Endpoints / Apigee 2. Implementing API versioning strategies - Container orchestration with GKE 1. Configuring node pools and auto-scaling 2. Designing Kubernetes cluster architectures 3. Managing pod lifecycle and resource quotas 4. Implementing workload deployment and scaling - Service mesh and networking 1. Implementing service-to-service authentication 2. Configuring traffic management and load balancing 3. Implementing Anthos Service Mesh / Istio

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam 認定 Professional-Cloud-DevOps-Engineer 試験問題 (Q144-Q149):

質問 # 144
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. Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
B. Ensure that test cases that catch errors of this type are run successfully before new software releases.
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 # 145
You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?

A. Standard Tier with a global load balancer
B. Standard Tier with a regional load balancer
C. Premium Tier with a global load balancer
D. Premium Tier with a regional load balancer

正解：D

解説：
The most cost-effective network tier and load balancing configuration for your frontend tier is to use Premium Tier with a regional load balancer. Premium Tier is a network tier that provides high-performance and low-latency network connectivity across Google's global network. A regional load balancer is a load balancer that distributes traffic within a single region. Since your application is deployed entirely within the europe-west2 region and only serves users based in the United Kingdom, you can use Premium Tier with a regional load balancer to optimize the network performance and cost.

質問 # 146
You are deploying a Cloud Build job that deploys Terraform code when a Git branch is updated. While testing, you noticed that the job fails. You see the following error in the build logs:
Initializing the backend. ..
Error: Failed to get existing workspaces : querying Cloud Storage failed: googleapi : Error
403
You need to resolve the issue by following Google-recommended practices. What should you do?

A. Create a storage bucket with the name specified in the Terraform configuration.
B. Change the Terraform code to use local state.
C. Grant the roles/ owner Identity and Access Management (IAM) role to the Cloud Build service account on the project.
D. Grant the roles/ storage. objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.

正解：D

解説：
The correct answer is D. Grant the roles/storage.objectAdmin Identity and Access Management (IAM) role to the Cloud Build service account on the state file bucket.
According to the Google Cloud documentation, Cloud Build is a service that executes your builds on Google Cloud Platform infrastructure1. Cloud Build uses a service account to execute your build steps and access resources, such as Cloud Storage buckets2. Terraform is an open-source tool that allows you to define and provision infrastructure as code3. Terraform uses a state file to store and track the state of your infrastructure4. You can configure Terraform to use a Cloud Storage bucket as a backend to store and share the state file across multiple users or environments5.
The error message indicates that Cloud Build failed to access the Cloud Storage bucket that contains the Terraform state file. This is likely because the Cloud Build service account does not have the necessary permissions to read and write objects in the bucket. To resolve this issue, you need to grant the roles/storage.
objectAdmin IAM role to the Cloud Build service account on the state file bucket. This role allows the service account to create, delete, and manage objects in the bucket6. You can use the gcloud command-line tool or the Google Cloud Console to grant this role.
The other options are incorrect because they do not follow Google-recommended practices. Option A is incorrect because it changes the Terraform code to use local state, which is not recommended for production or collaborative environments, as it can cause conflicts, data loss, or inconsistency. Option B is incorrect because it creates a new storage bucket with the name specified in the Terraform configuration, but it does not grant any permissions to the Cloud Build service account on the new bucket. Option C is incorrect because it grants the roles/owner IAM role to the Cloud Build service account on the project, which is too broad and violates the principle of least privilege. The roles/owner role grants full access to all resources in the project, which can pose a security risk if misused or compromised.

質問 # 147
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 the team lead as the owner for all action items because they are in charge of the SRE team.
B. Assign multiple owners for each item to guarantee that the team addresses items quickly
C. Assign collaborators but no individual owners to the items to keep the postmortem blameless.
D. Assign one owner for each action item and any necessary collaborators.

正解：D

解説：
https://devops.com/when-it-disaster-strikes-part-3-conducting-a-blameless-post-mortem/

質問 # 148
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?

A. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
B. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.
C. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
D. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

正解：D

質問 # 149
......

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