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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q129-Q134):

NEW QUESTION # 129
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/open_connections
B. flex/instance/connections/current
C. flex/connections/current
D. tcp_ssl_proxy/new_connections

Answer: C

Explanation:
Explanation
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

NEW QUESTION # 130
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

A. Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
B. Delete the managed instance group and recreate it after updating the instance template
C. Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
D. Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

Answer: D

NEW QUESTION # 131
You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?
Choose 2 answers

A. Create a new Google service account, and assign the appropriate 1AM permissions
B. Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods
C. Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account
D. Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication
E. Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable

Answer: A,C

NEW QUESTION # 132
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
B. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
C. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
D. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.

Answer: C

NEW QUESTION # 133
You support a user-facing web application. When analyzing the application's error budget over the previous six months, you notice that the application has never consumed more than 5% of its error budget in any given time window. You hold a Service Level Objective (SLO) review with business stakeholders and confirm that the SLO is set appropriately. You want your application's SLO to more closely reflect its observed reliability.
What steps can you take to further that goal while balancing velocity, reliability, and business needs? (Choose two.)

A. Tighten the SLO match the application's observed reliability.
B. Announce planned downtime to consume more error budget, and ensure that users are not depending on a tighter SLO.
C. Have more frequent or potentially risky application releases.
D. Implement and measure additional Service Level Indicators (SLIs) fro the application.
E. Add more serving capacity to all of your application's zones.

Answer: B,D

Explanation:
https://sre.google/sre-book/service-level-objectives/
You want the application's SLO to more closely reflect it's observed reliability. The key here is error budget never goes over 5%. This means they can have additional downtime and still stay within their budget.

NEW QUESTION # 134
......

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