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

SectionWeightObjectives
Monitoring, Logging, and Debugging12%- Cloud Operations Suite
  • 1. Creating uptime checks and alerts
  • 2. Configuring Cloud Monitoring metrics
  • 3. Implementing Cloud Logging with log sinks
- Debugging and troubleshooting
  • 1. Debugging with Cloud Trace distributed tracing
  • 2. Using Cloud Debugger and Error Reporting
  • 3. Analyzing performance profiles with Cloud Profiler
- Log management
  • 1. Configuring log retention policies
  • 2. Implementing log-based metrics
  • 3. Structuring logs for efficient querying
CI/CD Pipeline Development26%- CI/CD best practices
  • 1. Implementing shift-left testing
  • 2. Managing secrets in CI/CD pipelines
  • 3. Configuring quality gates and code coverage
- Designing and implementing CI/CD pipelines
  • 1. Implementing build automation scripts
  • 2. Configuring build triggers and webhooks
  • 3. Setting up artifact management with Artifact Registry
  • 4. Configuring build caching strategies
  • 5. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.)
- Containerization and Docker
  • 1. Implementing container security best practices
  • 2. Creating optimized Docker images (multi-stage builds)
  • 3. Managing container registries
Cloud Infrastructure Automation24%- Configuration management
  • 1. Managing secrets with Secret Manager
  • 2. Implementing configuration drift detection
  • 3. Using Ansible for configuration management
- Deployment strategies
  • 1. Canary releases and progressive rollouts
  • 2. Blue-green deployments
  • 3. Feature flags with Firebase Remote Config or LaunchDarkly
  • 4. Rolling updates with Kubernetes
- Infrastructure as Code (IaC)
  • 1. Implementing immutable infrastructure patterns
  • 2. Implementing with Terraform
  • 3. Managing infrastructure modules and state
Reliability and Site Reliability Engineering (SRE)24%- Monitoring and observability
  • 1. Implementing distributed tracing with Cloud Trace
  • 2. Creating dashboards for service health visibility
  • 3. Configuring Cloud Monitoring and Logging
  • 4. Setting up alerting policies and incident management
- Incident management
  • 1. Implementing on-call procedures
  • 2. Post-incident reviews and blameless postmortems
  • 3. Configuring automated incident response
- SLOs, SLIs, and SLAs
  • 1. Defining and implementing Service Level Objectives
  • 2. Creating and interpreting Service Level Indicators
  • 3. Setting appropriate Service Level Agreements
  • 4. Error budget policies and management
Microservices Architecture14%- Service mesh and networking
  • 1. Implementing service-to-service authentication
  • 2. Implementing Anthos Service Mesh / Istio
  • 3. Configuring traffic management and load balancing
- API management
  • 1. Exposing APIs with Cloud Endpoints / Apigee
  • 2. Implementing API versioning strategies
- Container orchestration with GKE
  • 1. Implementing workload deployment and scaling
  • 2. Managing pod lifecycle and resource quotas
  • 3. Designing Kubernetes cluster architectures
  • 4. Configuring node pools and auto-scaling

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

Answer: B

Explanation:
Explanation
The most probable cause of the database timeout is an increased number of connections to the Cloud SQL instance. This could happen if the application does not close connections properly or if it creates too many connections at once. You can check the number of connections to the Cloud SQL instance using Cloud Monitoring or Cloud SQL Admin API .


NEW QUESTION # 22
Your company allows teams to self-manage Google Cloud projects, including project-level Identity and Access Management (IAM). You are concerned that the team responsible for the Shared VPC project might accidentally delete the project, so a lien has been placed on the project. You need to design a solution to restrict Shared VPC project deletion to those with the resourcemanager.projects.updateLiens permission at the organization level. What should you do?

Answer: B

Explanation:
Comprehensive and Detailed Explanation From General Google Cloud IAM and Organization Policy Knowledge:
The core requirement is to prevent accidental deletion of a Shared VPC host project, even by project owners, by ensuring that only users with a specific permission at the organization level can remove the lien that protects the project.
A lien (resourcemanager.projects.delete) has already been placed on the project. This prevents its deletion.
The challenge is to prevent the removal of this lien by project-level administrators.
The permission to remove a lien is resourcemanager.projectLiens.update (or resourcemanager.projects.
updateLiens as stated in the question, which implies a broader update capability including liens).
Option A (Enable VPC Service Controls for the container.googleapis.com API service): VPC Service Controls are for data exfiltration prevention by creating service perimeters. They do not directly control IAM permissions for lien management or project deletion.
Option B (Revoke the resourcemanager.projects.updateLiens permission from all users associated with the project): While this would prevent project-level users from removing the lien, it doesn't enforce therequirement that only users with this permission at the organization level can remove it. A project owner could potentially re-grant themselves this permission at the project level if not otherwise restricted. The goal is a stronger, centrally enforced restriction.
Option C (Enable the compute.restrictXpnProjectLienRemoval organization policy constraint): This is specifically designed for the scenario described.Organization Policies allow centralized control over resource configurations across the organization.
The compute.restrictXpnProjectLienRemoval constraint, when enforced (set to True), restricts the removal of liens on Shared VPC host projects. Only users who have the resourcemanager.projectLiens.update permission (or resourcemanager.projects.updateLiens) granted at the organization level can then remove such liens. This prevents project owners or other project-level principals from removing the lien unless they also have this specific permission at the org level.
Option D (Instruct teams to only perform IAM permission management as code with Terraform): While Infrastructure as Code (IaC) is a good practice for managing IAM, it's an operational guideline and doesn't technically enforce the restriction on lien removal. A user with sufficient project-level IAM permissions could still manually remove the lien via the console or gcloud if not prevented by an organization policy.
Therefore, enabling the compute.restrictXpnProjectLienRemoval organization policy is the direct and most effective way to meet the requirement.
Reference (Based on Google Cloud Organization Policy and Shared VPC documentation):
Google Cloud documentation on Resource Manager Liens: https://cloud.google.com/resource-manager/docs
/project-liens
Google Cloud documentation on Organization Policy Constraints: https://cloud.google.com/resource-manager
/docs/organization-policy/org-policy-constraints
Specifically, the compute.restrictXpnProjectLienRemoval constraint: "When set to true, liens on Shared VPC host projects can only be removed by users that have resourcemanager.projectLiens.update permission on the organization." (or similar wording indicating org-level permission is required). This constraint ensures that the protection afforded by the lien on a critical Shared VPC host project cannot be easily circumvented at the project level.


NEW QUESTION # 23
Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?

Answer: D


NEW QUESTION # 24
You are the Operations Lead for an ongoing incident with one of your services. The service usually runs at around 70% capacity. You notice that one node is returning 5xx errors for all requests. There has also been a noticeable increase in support cases from customers. You need to remove the offending node from the load balancer pool so that you can isolate and investigate the node. You want to follow Google-recommended practices to manage the incident and reduce the impact on users. What should you do?

Answer: D

Explanation:
Explanation
The correct answer is A. Communicate your intent to the incident team. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.
This answer follows the Google-recommended practices for incident management, as described in the Chapter
9 - Incident Response, Google SRE Book1. According to this source, some of the best practices are:
Maintain a clear line of command. Designate clearly defined roles. Keep a working record of debugging and mitigation as you go. Declare incidents early and often.
Communicate your intent before taking any action that might affect the service or the incident response.
This helps to avoid confusion, duplication of work, or unintended consequences.
Perform a load analysis before removing a node from the load balancer pool, as this might affect the capacity and performance of the service. Scale the pool as necessary to handle the expected load.
Drain traffic from the unhealthy node before removing it from service, as this helps to avoid dropping requests or causing errors for users.
Answer A follows these best practices by communicating the intent to the incident team, performing a load analysis and scaling the pool, and draining traffic from the unhealthy node before removing it.
Answer B does not follow the best practice of performing a load analysis before adding or removing nodes, as this might cause overloading or underutilization of resources.
Answer C does not follow the best practice of communicating the intent before taking any action, as this might cause confusion or conflict with other responders.
Answer D does not follow the best practice of draining traffic from the unhealthy node before removing it, as this might cause errors for users.
References:
1: Chapter 9 - Incident Response, Google SRE Book


NEW QUESTION # 25
You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?

Answer: A


NEW QUESTION # 26
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