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

SectionWeightObjectives
Topic 1: Bootstrapping and maintaining a Google Cloud organization20%- Manage configuration and deployment
  • 1. Automate resource provisioning
  • 2. Use Infrastructure as Code tools
  • 3. Enforce consistency across environments
- Set up governance and compliance
  • 1. Manage resource quotas and limits
  • 2. Implement organization policies
  • 3. Configure audit logging and monitoring
- Design resource hierarchy
  • 1. Organize resources by project/folder/application
  • 2. Define IAM policies and access control
  • 3. Plan shared networking and connectivity
Topic 2: Applying site reliability engineering practices18%- Manage incidents and outages
  • 1. Implement improvements to prevent recurrence
  • 2. Detect and respond to issues quickly
  • 3. Perform postmortems and root cause analysis
- Design for resilience
  • 1. Test failure scenarios and recovery
  • 2. Automate remediation and self-healing
  • 3. Plan redundancy and fault tolerance
- Define reliability goals
  • 1. Align reliability with business needs
  • 2. Establish SLIs, SLOs, SLAs
  • 3. Use error budgets to balance change and stability
Topic 3: Implementing observability and troubleshooting20%- Troubleshoot complex issues
  • 1. Trace requests end-to-end
  • 2. Analyze performance and latency
  • 3. Isolate problems across layers
- 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
- Optimize observability strategy
  • 1. Reduce noise and prioritize signals
  • 2. Integrate observability into development
  • 3. Scale monitoring for large environments
Topic 4: Optimizing performance and cost17%- Apply FinOps practices
  • 1. Use spot instances and committed use discounts
  • 2. Right-size resources and eliminate waste
  • 3. Monitor and analyze cloud costs
- Balance cost, performance, and reliability
  • 1. Optimize over time
  • 2. Make tradeoff decisions based on data
  • 3. Plan capacity and scaling
- Improve system performance
  • 1. Tune applications and infrastructure
  • 2. Optimize resource allocation
  • 3. Use caching and content delivery
Topic 5: Building and implementing CI/CD pipelines25%- Design CI/CD pipelines
  • 1. Support hybrid/multi-cloud deployment
  • 2. Plan pipelines for apps, infrastructure, ML workloads
  • 3. Integrate artifact management
- Implement and secure pipelines
  • 1. Enforce security scanning and compliance checks
  • 2. Automate build, test, and deployment stages
  • 3. Manage pipeline secrets and credentials
- Optimize and maintain pipelines
  • 1. Handle rollbacks and versioning
  • 2. Monitor pipeline performance
  • 3. Improve speed and reliability

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q136-Q141):

NEW QUESTION # 136
You are designing a new Google Cloud organization for a client. Your client is concerned with the risks associated with long-lived credentials created in Google Cloud. You need to design a solution to completely eliminate the risks associated with the use of JSON service account keys while minimizing operational overhead. What should you do?

Answer: B

Explanation:
The correct answer is B. Apply the constraints/iam.disableServiceAccountKeyCreation constraint to the organization.
According to the Google Cloud documentation, the constraints/iam.disableServiceAccountKeyCreation constraint is an organization policy constraint that prevents the creation of user-managed service account keys1.User-managed service account keys are long-lived credentials that can be downloaded as JSON or P12 files and used to authenticate as a service account2.These keys pose severe security risks if they are leaked, stolen, or misused by unauthorized entities34.By applying this constraint to the organization, you can completely eliminate the risks associated with the use of JSON service account keys and enforce a more secure alternative for authentication, such as Workload Identity or short-lived access tokens12. This also minimizes operational overhead by avoiding the need to manage, rotate, or revoke user-managed service account keys.
The other options are incorrect because they do not completely eliminate the risks associated with the use of JSON service account keys. Option A is incorrect because it only restricts the IAM permissions to create, list, get, delete, or sign service account keys, but it does not prevent existing keys from being used or leaked.
Option C is incorrect because it only disables the upload of user-managed service account keys, but it does not prevent the creation or download of such keys. Option D is incorrect because it only limits the IAM role that can create and manage service account keys, but it does not prevent the keys from being distributed or exposed to unauthorized entities.
Reference:
Disable user-managed service account key creation, Disable user-managed service account key creation.
Service accounts, User-managed service accounts.Help keep your Google Cloud service account keys safe, Help keep your Google Cloud service account keys safe.Stop Downloading Google Cloud ServiceAccount Keys!, Stop Downloading Google Cloud Service Account Keys! [Service Account Keys], Service Account Keys. [Disable user-managed service account key upload], Disable user-managed service account key upload.
[Granting roles to service accounts], Granting roles to service accounts.


NEW QUESTION # 137
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

Answer: A


NEW QUESTION # 138
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?

Answer: D

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


NEW QUESTION # 139
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

Answer: A

Explanation:
The best option for optimizing your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time is to confirm that the pipeline is storing and retrieving the terraform.tfstate file from Cloud Storage with the Terraform gcs backend. The terraform.tfstate file is a file that Terraform uses to store the current state of your infrastructure. The Terraform gcs backend is a backend type that allows you to store the terraform.tfstate file in a Cloud Storage bucket. By using the Terraform gcs backend, you can ensure that your pipeline has access to the latest state of your infrastructure and avoid creating multiple copies of the entire infrastructure stack.


NEW QUESTION # 140
You are designing a system with three different environments: development, quality assurance (QA), and production. Each environment will be deployed with Terraform and has a Google Kubernetes Engine Enterprise (GKE Enterprise) cluster created so that application teams can deploy their applications. Config Sync will be used and templated to deploy infrastructure-level resources in each GKE Enterprise cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both infrastructure as code (IaC) and application code?

Answer: A


NEW QUESTION # 141
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