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Professional-Cloud-DevOps-Engineer Zertifikatsfragen & Professional-Cloud-DevOps-Engineer Schulungsangebot

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Professional-Cloud-DevOps-Engineer Schulungsangebot, Professional-Cloud-DevOps-Engineer Probesfragen

Die Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung ist schon eine der beliebten IT-Zertifizierungsprüfungen geworden. Aber für die Prüfung braucht man viel Zeit und Energie, um die Fachkenntnisse gut zu beherrschen. Im diesem Zeitalter, wo die Zeit sehr geschätzt wird, betrachtet man Zeit wie Geld. Das Schulungsprogramm zur Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung von PrüfungFrage dauert ungefähr 20 Stunden. Dann können Sie Ihre Fachkenntnisse konsolidierern und sich gut auf die Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung vorbereiten.

Google Professional-Cloud-DevOps-Engineer ist eine Zertifizierungsprüfung, die von Google Cloud angeboten wird und die Fähigkeiten und Kenntnisse von Fachleuten im Bereich cloud-basierter DevOps testet. Diese Zertifizierung zeigt die Fähigkeit eines Kandidaten, DevOps-Praktiken auf der Google Cloud-Plattform zu entwerfen, zu implementieren und zu verwalten. Es erfordert ein solides Verständnis von Softwareentwicklung, Bereitstellung und Cloud-Infrastrukturmanagement.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Professional-Cloud-DevOps-Engineer Prüfungsfragen mit Lösungen (Q198-Q203):

198. Frage
You manage an application that runs in Google Kubernetes Engine (GKE) and uses the blue/green deployment methodology Extracts of the Kubernetes manifests are shown below:

The Deployment app-green was updated to use the new version of the application During post-deployment monitoring you notice that the majority of user requests are failing You did not observe this behavior in the testing environment You need to mitigate the incident impact on users and enable the developers to troubleshoot the issue What should you do?

A. Change the selector on the Service app-svc to app: my-app, version: blue
B. Update the Deployment ape-green to use the previous version of the application
C. Change the selector on the Service app-2vc to app: my-app.
D. Update the Deployment app-blue to use the new version of the application

Antwort: C

199. Frage
You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
B. Use Cloud Storage to cache intermediate artifacts.
C. Run multiple Jenkins agents to parallelize the build.
D. Use multiple smaller build steps to minimize execution time.

Antwort: D

200. Frage
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline.
Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

A. Compare the canary with a new deployment of the previous production version.
B. Compare the canary with the average performance of a sliding window of previous production versions.
C. Compare the canary with a new deployment of the current production version.
D. Compare the canary with the existing deployment of the current production version.

Antwort: C

Begründung:
https://cloud.google.com/architecture/automated-canary-analysis-kubernetes-engine-spinnaker
https://spinnaker.io/guides/user/canary/best-practices/#compare-canary-against-baseline-not-against- production

201. Frage
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?

A. Redefine the related Service Level Objective so that the error budget is not exhausted.
B. Distribute the alerts to engineers in different time zones.
C. Eliminate unactionable alerts.
D. Create an incident report for each of the alerts.

Antwort: C

Begründung:
Eliminate bad monitoring : Unactionable alerts (i.e., spam)https://cloud.google.com/blog/products
/management-tools/meeting-reliability-challenges-with-sre-principles
agree with kyubiblaze about having to remove unactionable items aka spam: "good monitoring alerts on actionable problems" @https://cloud.google.com/blog/products/management-tools/meeting-reliability- challenges-with-sre-principles

202. Frage
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?

A. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repositories are separated: different branches are different features
B. Cloud Infrastructure (Terraform) repository is shared: different branches are different environments GKE Enterprise Infrastructure (Config Sync Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repository is shared: different directories are different features
C. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environments GKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different overlay directories are different environments Application (app source code) repositories are separated: different branches are different features
D. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Enterprise Infrastructure (Config Sync Kustomize manifests) repositories are separated: different branches are different environments Application (app source code) repositories are separated: different branches are different features

Antwort: A

Begründung:
Comprehensive and Detailed Explanation:
To follow GitOps best practices and Google Cloud's recommended repository structure for Terraform (IaC), Config Sync, and application code, we should use a shared repository for Terraform and Config Sync while keeping application repositories separate.
Cloud Infrastructure (Terraform) repository is shared # This allows infrastructure teams to manage all environments in a single repository with different directories per environment (dev, QA, production). This is the standard approach to structuring Terraform repositories.
GKE Enterprise Infrastructure (Config Sync) repository is shared # Using Kustomize overlays per environment (instead of separate repositories) aligns with Config Sync's best practices and makes managing configurations easier.
Application repositories are separated, using different branches for features # This allows application teams to follow the Git branching model (feature branches, main branch, release branches, etc.) without affecting infrastructure.
#Official Reference:
Config Sync Best Practices
Terraform Structure Best Practices
GitOps Best Practices

203. Frage
......

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Tony King Tony King

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