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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q64-Q69):

NEW QUESTION # 64
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

A. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
B. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
C. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
D. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.

Answer: D

NEW QUESTION # 65
You are currently planning how to display Cloud Monitoring metrics for your organization's Google Cloud projects. Your organization has three folders and six projects:

You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?

A. Use the current app-one-prod project as the scoping project
B. Create a single new scoping project
C. Create new scoping projects for each folder
D. Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder

Answer: C

Explanation:
Explanation
The best option for configuring Cloud Monitoring dashboards to only display metrics from the projects within one folder is to create new scoping projects for each folder. A scoping project is a project that defines which resources are monitored by Cloud Monitoring. You can create new scoping projects for each folder by using the gcloud monitoring register-project command. This way, you can associate each scoping project with a folder and only monitor the resources within that folder. You can then configure Cloud Monitoring dashboards to use the scoping projects as data sources and only display metrics from the projects within one folder.

NEW QUESTION # 66
You are building and deploying a microservice on Cloud Run for your organization Your service is used by many applications internally You are deploying a new release, and you need to test the new version extensively in the staging and production environments You must minimize user and developer impact. What should you do?

A. Deploy a new environment with the green tag to use as the staging environment Deploy the new version of the service to the green environment and test the new version If the tests pass, send all traffic to the green environment and delete the existing staging environment Repeat for the production environment
B. Deploy the new version of the service to the staging environment Split the traffic, and allow 1 % of traffic through to the latest version Test the latest version If the test passes gradually roll out the latest version to the staging and production environments
C. Deploy the new version of the service to the staging environment with a new-release tag without serving traffic Test the new-release version If the test passes; gradually roll out this tagged version Repeat for the production environment
D. Deploy the new version of the service to the staging environment Split the traffic, and allow 50% of traffic through to the latest version Test the latest version If the test passes, send all traffic to the latest version Repeat for the production environment

Answer: C

NEW QUESTION # 67
You recently noticed that one of your services has exceeded the error budget for the current rolling window period. Your company's product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices. What should you do?

A. Look through other metrics related to the product and find SLOs with remaining error budget. Reallocate the error budgets and allow the feature launch.
B. Escalate the situation and request additional error budget.
C. Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.
D. Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.

Answer: D

NEW QUESTION # 68
You are investigating issues in your production application that runs on Google Kubernetes Engine (GKE).
You determined that the source Of the issue is a recently updated container image, although the exact change in code was not identified. The deployment is currently pointing to the latest tag. You need to update your cluster to run a version of the container that functions as intended. What should you do?

A. Apply the latest tag to the previous container image, and do a rolling update on the deployment.
B. Alter the deployment to point to the sha2 56 digest of the previously working container.
C. Build a new container from a previous Git tag, and do a rolling update on the deployment to the new container.
D. Create a new tag called stable that points to the previously working container, and change the deployment to point to the new tag.

Answer: B

NEW QUESTION # 69
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