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

SectionWeightObjectives
Implementing observability and troubleshooting20%- 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. Reduce noise and prioritize signals
  • 3. Integrate observability into development
- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Isolate problems across layers
  • 3. Analyze performance and latency
Optimizing performance and cost17%- 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. Monitor and analyze cloud costs
  • 2. Use spot instances and committed use discounts
  • 3. Right-size resources and eliminate waste
- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Use caching and content delivery
  • 3. Optimize resource allocation
Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Enforce consistency across environments
  • 2. Automate resource provisioning
  • 3. Use Infrastructure as Code tools
- Set up governance and compliance
  • 1. Implement organization policies
  • 2. Manage resource quotas and limits
  • 3. Configure audit logging and monitoring
- Design resource hierarchy
  • 1. Define IAM policies and access control
  • 2. Organize resources by project/folder/application
  • 3. Plan shared networking and connectivity
Applying site reliability engineering practices18%- Design for resilience
  • 1. Automate remediation and self-healing
  • 2. Test failure scenarios and recovery
  • 3. Plan redundancy and fault tolerance
- Define reliability goals
  • 1. Establish SLIs, SLOs, SLAs
  • 2. Use error budgets to balance change and stability
  • 3. Align reliability with business needs
- Manage incidents and outages
  • 1. Perform postmortems and root cause analysis
  • 2. Detect and respond to issues quickly
  • 3. Implement improvements to prevent recurrence
Building and implementing CI/CD pipelines25%- Optimize and maintain pipelines
  • 1. Monitor pipeline performance
  • 2. Handle rollbacks and versioning
  • 3. Improve speed and reliability
- Design CI/CD pipelines
  • 1. Plan pipelines for apps, infrastructure, ML workloads
  • 2. Integrate artifact management
  • 3. Support hybrid/multi-cloud deployment
- Implement and secure pipelines
  • 1. Manage pipeline secrets and credentials
  • 2. Automate build, test, and deployment stages
  • 3. Enforce security scanning and compliance checks

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
You are running a web application deployed to a Compute Engine managed instance group Ops Agent is installed on all instances You recently noticed suspicious activity from a specific IP address You need to configure Cloud Monitoring to view the number of requests from that specific IP address with minimal operational overhead. What should you do?

Answer: C

Explanation:
The best option for configuring Cloud Monitoring to view the number of requests from a specific IP address with minimal operational overhead is to configure the Ops Agent with a logging receiver and create a logs-based metric. The Ops Agent is an agent that collects system metrics and logs from your VM instances and sends them to Cloud Monitoring and Cloud Logging. A logging receiver is a configuration that specifies which logs are collected by the Ops Agent and how they are processed. You can use a logging receiver to collect web server logs from your VM instances and send them to Cloud Logging. A logs-based metric is a metric that is extracted from log entries in Cloud Logging. You can use a logs-based metric to count the number of requests from a specific IP address by using a filter expression. You can then use Cloud Monitoring to view and analyze the logs-based metric.


NEW QUESTION # 31
You manage your company's primary revenue-generating application. You have an error budget policy in place that freezes production deployments when the application is close to breaching its SLO. A number of issues have recently occurred, and the application has exhausted its error budget. You need to deploy a new release to the application that includes a feature urgently required by your largest customer. You have been told that the release has passed all unit tests. What should you do?

Answer: B


NEW QUESTION # 32
You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?

Answer: A

Explanation:
The correct answer is
A, Select a latency metric for a request-based method of evaluation.
A latency metric measures how responsive your service is to users. For example, you can use the cloud.googleapis.com/http/server/response_latencies metric to measure the latency of HTTP requests to your service1. A request-based method of evaluation counts the number of successful requests that meet a certain criterion, such as being below a latency threshold, and compares it to the number of all requests. For example, you can define an SLI as the ratio of requests with latency below 300 ms to all requests2. A request-based method of evaluation is suitable for measuring performance over time, such as per calendar month. You can set an SLO for the SLI to be at least 90%, which means that you expect 90% of the requests to have latency below 300 ms in a month3.
Reference:
Creating an SLO | Operations Suite | Google Cloud, Choosing a metric, Latency metric. Concepts in service monitoring | Operations Suite | Google Cloud, Service-level indicators, Request-based SLIs. Learn how to set SLOs - SRE tips | Google Cloud Blog, Setting SLOs.


NEW QUESTION # 33
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region. Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?

Answer: C

Explanation:
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States


NEW QUESTION # 34
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

Answer: A

Explanation:
Explanation
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
https://plugins.jenkins.io/google-compute-engine/


NEW QUESTION # 35
......

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