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

Section	Weight	Objectives
Topic 1: Optimizing performance and cost	17%	- Apply FinOps practices 1. Right-size resources and eliminate waste 2. Use spot instances and committed use discounts 3. Monitor and analyze cloud costs - Balance cost, performance, and reliability 1. Optimize over time 2. Plan capacity and scaling 3. Make tradeoff decisions based on data - Improve system performance 1. Optimize resource allocation 2. Tune applications and infrastructure 3. Use caching and content delivery
Topic 2: Implementing observability and troubleshooting	20%	- Optimize observability strategy 1. Integrate observability into development 2. Reduce noise and prioritize signals 3. Scale monitoring for large environments - Build monitoring and logging systems 1. Create dashboards and alerts 2. Collect and analyze metrics, logs, traces 3. Use Cloud Monitoring, Cloud Logging, Cloud Trace - Troubleshoot complex issues 1. Isolate problems across layers 2. Trace requests end-to-end 3. Analyze performance and latency
Topic 3: Building and implementing CI/CD pipelines	25%	- Design CI/CD pipelines 1. Support hybrid/multi-cloud deployment 2. Plan pipelines for apps, infrastructure, ML workloads 3. Integrate artifact management - Optimize and maintain pipelines 1. Handle rollbacks and versioning 2. Monitor pipeline performance 3. Improve speed and reliability - Implement and secure pipelines 1. Manage pipeline secrets and credentials 2. Automate build, test, and deployment stages 3. Enforce security scanning and compliance checks
Topic 4: Applying site reliability engineering practices	18%	- Design for resilience 1. Test failure scenarios and recovery 2. Automate remediation and self-healing 3. Plan redundancy and fault tolerance - Manage incidents and outages 1. Detect and respond to issues quickly 2. Perform postmortems and root cause analysis 3. Implement improvements to prevent recurrence - Define reliability goals 1. Establish SLIs, SLOs, SLAs 2. Use error budgets to balance change and stability 3. Align reliability with business needs
Topic 5: Bootstrapping and maintaining a Google Cloud organization	20%	- Manage configuration and deployment 1. Automate resource provisioning 2. Enforce consistency across environments 3. Use Infrastructure as Code tools - Design resource hierarchy 1. Define IAM policies and access control 2. Organize resources by project/folder/application 3. Plan shared networking and connectivity - Set up governance and compliance 1. Configure audit logging and monitoring 2. Implement organization policies 3. Manage resource quotas and limits

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q183-Q188):

NEW QUESTION # 183
You are monitoring a service that uses n2-standard-2 Compute Engine instances that serve large files. Users have reported that downloads are slow. Your Cloud Monitoring dashboard shows that your VMS are running at peak network throughput. You want to improve the network throughput performance. What should you do?

A. Add additional network interface controllers (NICs) to your VMS.
B. Deploy the Ops Agent to export additional monitoring metrics.
C. Change the machine type for your VMS to n2-standard-8.
D. Deploy a Cloud NAT gateway and attach the gateway to the subnet of the VMS.

Answer: C

NEW QUESTION # 184
You are designing a system with three different environments: development, quality assurance (QA), and production. Each environment will be deployed with Terraform and has a Google Kubernetes Engine Enterprise (GKE Enterprise) cluster created so that application teams can deploy their applications. Config Sync will be used and templated to deploy infrastructure-level resources in each GKE Enterprise cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both infrastructure as code (IaC) and application code?

A. Cloud Infrastructure (Terraform) repository is shared: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repository is shared: different directories are different features
B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features
C. Cloud Infrastructure (Terraform) repository is shared: different directories are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different branches are different environmentsApplication (app source code) repositories are separated: different branches are different features
D. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environmentsGKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different overlay directories are different environmentsApplication (app source code) repositories are separated: different branches are different features

Answer: B

NEW QUESTION # 185
You work for a global organization and run a service with an availability target of 99% with limited engineering resources. For the current calendar month you noticed that the service has 99 5% availability.
You must ensure that your service meets the defined availability goals and can react to business changes including the upcoming launch of new features You also need to reduce technical debt while minimizing operational costs You want to follow Google-recommended practices What should you do?

A. Allocate available engineers to the feature backlog while you ensure that the sen/ice remains within the availability target
B. Define an error budget for your service level availability and minimize the remaining error budget
C. Identify, measure and eliminate toil by automating repetitive tasks
D. Add N+1 redundancy to your service by adding additional compute resources to the service

Answer: C

NEW QUESTION # 186
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?

A. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs.
B. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
C. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics.
D. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers the IAM Object Viewer access to view the logs in the specified bucket.

Answer: B

NEW QUESTION # 187
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?

A. Develop an App Engine application that pulls the logs from Stackdriver and saves them in BigQuery.
B. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
C. Create a sink in Stackdriver, name it, create a bucket on Cloud Storage for storing archived logs, and then select the bucket as the log export destination.
D. Create an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.

Answer: C

NEW QUESTION # 188
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