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

Section	Weight	Objectives
Topic 1: Monitoring, Logging, and Debugging	12%	- Log management 1. Configuring log retention policies 2. Structuring logs for efficient querying 3. Implementing log-based metrics - Debugging and troubleshooting 1. Analyzing performance profiles with Cloud Profiler 2. Using Cloud Debugger and Error Reporting 3. Debugging with Cloud Trace distributed tracing - Cloud Operations Suite 1. Configuring Cloud Monitoring metrics 2. Implementing Cloud Logging with log sinks 3. Creating uptime checks and alerts
Topic 2: Microservices Architecture	14%	- API management 1. Implementing API versioning strategies 2. Exposing APIs with Cloud Endpoints / Apigee - Container orchestration with GKE 1. Managing pod lifecycle and resource quotas 2. Designing Kubernetes cluster architectures 3. Configuring node pools and auto-scaling 4. Implementing workload deployment and scaling - Service mesh and networking 1. Implementing service-to-service authentication 2. Implementing Anthos Service Mesh / Istio 3. Configuring traffic management and load balancing
Topic 3: Reliability and Site Reliability Engineering (SRE)	24%	- Incident management 1. Post-incident reviews and blameless postmortems 2. Configuring automated incident response 3. Implementing on-call procedures - Monitoring and observability 1. Setting up alerting policies and incident management 2. Configuring Cloud Monitoring and Logging 3. Creating dashboards for service health visibility 4. Implementing distributed tracing with Cloud Trace - SLOs, SLIs, and SLAs 1. Error budget policies and management 2. Setting appropriate Service Level Agreements 3. Defining and implementing Service Level Objectives 4. Creating and interpreting Service Level Indicators
Topic 4: Cloud Infrastructure Automation	24%	- Configuration management 1. Managing secrets with Secret Manager 2. Using Ansible for configuration management 3. Implementing configuration drift detection - Deployment strategies 1. Rolling updates with Kubernetes 2. Blue-green deployments 3. Canary releases and progressive rollouts 4. Feature flags with Firebase Remote Config or LaunchDarkly - Infrastructure as Code (IaC) 1. Managing infrastructure modules and state 2. Implementing immutable infrastructure patterns 3. Implementing with Terraform
Topic 5: CI/CD Pipeline Development	26%	- CI/CD best practices 1. Configuring quality gates and code coverage 2. Managing secrets in CI/CD pipelines 3. Implementing shift-left testing - Designing and implementing CI/CD pipelines 1. Configuring build caching strategies 2. Setting up artifact management with Artifact Registry 3. Configuring build triggers and webhooks 4. Designing pipeline architecture (Cloud Build, Jenkins, GitLab CI, etc.) 5. Implementing build automation scripts - Containerization and Docker 1. Creating optimized Docker images (multi-stage builds) 2. Implementing container security best practices 3. Managing container registries

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Professional-Cloud-DevOps-Engineer Buch - Professional-Cloud-DevOps-Engineer Dumps

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Professional-Cloud-DevOps-Engineer Prüfungsfragen mit Lösungen (Q108-Q113):

108. Frage
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?

A. Confirm that the application is using the required client library and the service account key has proper permissions.
B. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
C. Confirm that your account has the proper permissions to use the Stackdriver dashboard.
D. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.

Antwort: D

Begründung:
https://cloud.google.com/monitoring/agent/monitoring/troubleshooting#checklist

109. Frage
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?

A. Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.
B. Use custom versions of predefined roles to exclude all iam.serviceAccountKeys. * service account role permissions.
C. Grant the roles/ iam.serviceAccountKeyAdmin IAM role to organization administrators only.
D. Apply the constraints/iam. disableServiceAccountKeyUp10ad constraint to the organization.

Antwort: A

Begründung:
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.

110. Frage
You are responsible for creating and modifying the Terraform templates that define your Infrastructure. Because two new engineers will also be working on the same code, you need to define a process and adopt a tool that will prevent you from overwriting each other's code. You also want to ensure that you capture all updates in the latest version. What should you do?

A. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day, confirm that all changes have been captured in the files within the folder structure and create a new .zip archive with a predefined naming convention.
* Upload the .zip archive to a versioned Cloud Storage bucket and accept it as the latest version.
B. * Store your code as text files in Google Drive in a defined folder structure that organizes the files.
* At the end of each day. confirm that all changes have been captured in the files within the folder structure.
* Rename the folder structure with a predefined naming convention that increments the version.
C. * Store your code in a Git-based version control system.
* Establish a process that allows developers to merge their own changes at the end of each day.
* Package and upload code lo a versioned Cloud Storage bucket as the latest master version.
D. * Store your code in a Git-based version control system.
* Establish a process that includes code reviews by peers and unit testing to ensure integrity and functionality before integration of code.
* Establish a process where the fully integrated code in the repository becomes the latest master version.

Antwort: C

111. Frage
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
B. Use an Admission Controller to verify that incoming requests originate from approved sources.
C. Configure the build system with protected branches that require pull request approval.
D. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

Antwort: D

112. Frage
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/new_connections
B. flex/instance/connections/current
C. tcp_ssl_proxy/open_connections
D. flex/connections/current

Antwort: D

Begründung:
Explanation
https://cloud.google.com/monitoring/api/metrics_gcp#gcp-appengine

113. Frage
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