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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

A. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
B. Configure Access Context Manager to allow only these members to export logs.
C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
D. Grant the team members the IAM role of logging.configWriter on Cloud IAM.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/access-control
The logging.configWriter role grants permissions to create, update, and delete log exports. This is the correct role to give team members who need to export logs2.

NEW QUESTION # 34
You recently configured an App Hub application. You are able to see the managed instance group, backend service, and URL map listed in App Hub, but you do not see the forwarding rule. You must ensure that the forwarding rule is listed. What should you do?

A. Configure the forwarding rule to forward to the correct target proxy.
B. Register the forwarding rule as a service in the application configuration.
C. Enable the App Hub API in the project containing the forwarding rule.
D. Attach the project containing the forwarding rule as an App Hub service project.

Answer: B

NEW QUESTION # 35
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. Instrumentation coded directly in the client
B. A synthetic client that periodically sends simulated user requests
C. Metrics exported from the application servers
D. Your application servers' logs
E. GKE health checks for your application servers

Answer: B,E

NEW QUESTION # 36
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

A. Deploy the service in one region and use a global load balancer to route traffic to this region.
B. Validate that the resource requirements are within the available quota limits of each region.
C. Monitor results of Stackdriver Trace to determine the required amount of resources.
D. Use the n1-highcpu-96 machine type in the configuration of the MIG.

Answer: D

NEW QUESTION # 37
Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?

A. Create SLIs from metrics Enable Alert Policies if the services do not pass
B. Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass
C. Use the metrics from Anthos Service Mesh to measure the health of the microservices
D. Create a SLO Create an Alert Policy on select_slo_bum_rate

Answer: D

NEW QUESTION # 38
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