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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
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 an export in Stackdriver and configure Cloud Pub/Sub to store logs in permanent storage for seven years.
C. Create a Cloud Storage bucket and develop your application to send logs directly to the bucket.
D. 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.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/routing/overview

NEW QUESTION # 12
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?

A. Roll back the experimental canary release.
B. Trace the origin of 500 errors and the root cause of increased latency.
C. Record data for the postmortem document of the incident.
D. Start monitoring latency, traffic, errors, and saturation.

Answer: D

NEW QUESTION # 13
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

A. Configure your network services on the Standard Tier.
B. Configure the VPC as a Shared VPC Host project.
C. Configure your Kubernetes duster as a Private Cluster.
D. Configure a Google Cloud HTTP Load Balancer as Ingress.

Answer: A

Explanation:
The Standard Tier network service offers lower network costs than the Premium Tier. This is the correct option to reduce the network cost for the application3.

NEW QUESTION # 14
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers

A. Customer Impact Assessor
B. Communications Lead
C. External Customer Communications Lead
D. Engineering Lead
E. Operations Lead

Answer: B,E

Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)."

NEW QUESTION # 15
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Create a cron job to terminate any Pods that have been running for more than five hours
B. Add a HTTP liveness probe to the microservice s deployment
C. Configure an alert to notify you whenever a Pod returns 403 errors
D. Monitor the Pods and terminate any Pods that have been running for more than five hours

Answer: B

Explanation:
Explanation
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

NEW QUESTION # 16
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