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

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

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q91-Q96):

NEW QUESTION # 91
You built a serverless application by using Cloud Run and deployed the application to your production environment You want to identify the resource utilization of the application for cost optimization What should you do?

A. Use Cloud Ops to create logs-based metrics to monitor the resource utilization of the application
B. Use Cloud Monitoring to monitor the container CPU and memory utilization of the application
C. Use Cloud Trace with distributed tracing to monitor the resource utilization of the application
D. Use Cloud Profiler with Ops Agent to monitor the CPU and memory utilization of the application

Answer: C

Explanation:
The best option for giving developers the ability to test the latest revisions of the service before the service is exposed to customers is to run the gcloud run deploy booking-engine --no-traffic --tag dev command and use the https://dev----booking-engine-abcdef.a.run.app URL for testing. The gcloud run deploy command is a command that deploys a new revision of your service or updates an existing service. By using the --no-traffic flag, you can prevent any traffic from being sent to the new revision. By using the --tag flag, you can assign a tag to the new revision, such as dev. This way, you can create a new revision of your service without affecting your customers. You can also use the tag-based URL (e.g., https://dev----booking-engine-abcdef.a.run.app) to access and test the new revision.

NEW QUESTION # 92
You are building and running client applications in Cloud Run and Cloud Functions Your client requires that all logs must be available for one year so that the client can import the logs into their logging service You must minimize required code changes What should you do?

A. Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and all functions in Cloud Functions to send logs to a file within the storage bucket
B. Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure the logging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs
C. Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into the topic Give your client access to the topic to retrieve the logs
D. Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging and the client's logging service Ensure that all the ports required to send logs are open in the VPC firewall

Answer: B

Explanation:
The best option for storing all logs for one year and minimizing required code changes is to create a logs bucket and logging sink, set the retention on the logs bucket to 365 days, configure the logging sink to send logs to the bucket, and give your client access to the bucket to retrieve the logs. A logs bucket is a Cloud Storage bucket that is used to store logs from Cloud Logging. A logging sink is a resource that defines where log entries are sent, such as a logs bucket, BigQuery dataset, or Pub/Sub topic. You can create a logs bucket and logging sink in Cloud Logging and set the retention on the logs bucket to 365 days. This way, you can ensure that all logs are stored for one year and protected from deletion. You can also configure the logging sink to send logs from Cloud Run and Cloud Functions to the logs bucket without any code changes. You can then give your client access to the logs bucket by using IAM policies or signed URLs.

NEW QUESTION # 93
You are using Jenkins to orchestrate your CI/CD pipelines deploying your applications to GKE and on-premises VMs. After expanding your on-premises infrastructure, all resource utilization is normal, but you notice that initiating on-premises deployments is taking longer than expected. You need to accelerate the initiation of on-premises deployments. What should you do?

A. Increase the number of Jenkins executor threads.
B. Implement a blue-green deployment strategy for your on-premises VMs.
C. Configure Jenkins to use an artifact repository in your on-premises environment.
D. Upgrade your on-premises VMs to have faster CPUs and more memory.

Answer: C

NEW QUESTION # 94
You are leading a DevOps project for your organization. The DevOps team is responsible for managing the service infrastructure and being on-call for incidents. The Software Development team is responsible for writing, submitting, and reviewing code. Neither team has any published SLOs. You want to design a new joint-ownership model for a service between the DevOps team and the Software Development team. Which responsibilities should be assigned to each team in the new joint-ownership model?

A. DevOps team responsibilitiesShared responsibilities for code reviewsSoftware Development team responsibilitiesManage the service infrastructureBe on-call for incidents on a rotation basisAdopt and publish SLOs for the serviceSubmit code to be reviewed
B. DevOps team responsibilitiesManage the service infrastructureBe on-call for incidentsSoftware Development team responsibilitiesAdopt and publish SLOs for the serviceSubmit code to be reviewedShared responsibilities for code reviews
C. DevOps team responsibilitiesManage the service infrastructurePerform code reviewsSoftware Development team responsibilitiesSubmit code to be reviewed by the DevOps teamBe on-call for incidentsPublish the SLOs that the DevOps team must meet
D. DevOps team responsibilitiesManage the service infrastructureBe on-call for incidentsPerform code reviewsSoftware Development team responsibilitiesSubmit code to be reviewed by the DevOps teamPublish the SLOs that the DevOps team must meet

Answer: B

Explanation:
Comprehensive and Detailed Explanation:
The best approach to a joint-ownership DevOps model follows SRE and DevOps best practices, where:
The DevOps team manages infrastructure and is on-call for incidents.
The Software Development team owns SLOs and submits code.
Code reviews should be a shared responsibility to ensure both teams maintain quality.
#Why not other options?
A (DevOps team reviewing all code)## Breaks DevOps best practices by making developers dependent on the DevOps team for code review.
B (DevOps does code reviews, developers handle incidents)## Developers should not handle on-call duties unless part of a shared rotation.
C (Developers manage infrastructure)## Developers should not be fully responsible for infrastructure.
#Official Reference:
SRE & DevOps Ownership Model
Shared Responsibility Model in Google Cloud

NEW QUESTION # 95
You are creating Cloud Logging sinks to export log entries from Cloud Logging to BigQuery for future analysis Your organization has a Google Cloud folder named Dev that contains development projects and a folder named Prod that contains production projects Log entries for development projects must be exported to dev_dataset. and log entries for production projects must be exported to prod_dataset You need to minimize the number of log sinks created and you want to ensure that the log sinks apply to future projects What should you do?

A. Create a single aggregated log sink at the organization level.
B. Create an aggregated Iog sink in the Dev and Prod folders
C. Create two aggregated log sinks at the organization level, and filter by project ID
D. Create a log sink in each project

Answer: B

Explanation:
Explanation
The best option for minimizing the number of log sinks created and ensuring that the log sinks apply to future projects is to create an aggregated log sink in the Dev and Prod folders. An aggregated log sink is a log sink that collects logs from multiple sources, such as projects, folders, or organizations. By creating an aggregated log sink in each folder, you can export log entries for development projects to dev_dataset and log entries for production projects to prod_dataset. You can also use filters to specify which logs you want to export.
Additionally, by creating an aggregated log sink at the folder level, you can ensure that the log sink applies to future projects that are created under that folder.

NEW QUESTION # 96
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