Professional-Cloud-DevOps-Engineer Übungsmaterialien - Professional-Cloud-DevOps-Engineer Lernressourcen & Professional-Cloud-DevOps-Engineer Prüfungsfragen

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Die Schulungsunterlagen für die Vorbereitung der Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung beinhalten die Simulationsprüfungen sowie die jetzigen Prüfungsfragen und Antworten zur Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung. Im Internet haben Sie vielleicht auch einige ähnliche Ausbildungswebsites gesehen. Nach dem Vergleich würden Sie aber finden, dass die Schulungsunterlagen zur Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung von Fast2test eher zielgerichtet sind. Sie sind nicht nur von guter Qualität, sondern auch die umfassendeste.

Die Professional-Cloud-Devops-Engineer-Zertifizierungsprüfung ist eine der gefragtesten Zertifizierungen in der Cloud Computing-Branche. Diese Zertifizierungsprüfung bestätigt die Fähigkeiten des Kandidaten beim Entwerfen, Aufbau und Verwalten von Cloud -Lösungen, die skalierbar, zuverlässig und sicher sind. Die Prüfung deckt eine breite Palette von Themen ab, einschließlich der Automatisierung der Infrastruktur, der kontinuierlichen Integration und Lieferung, Überwachung und Protokollierung, Sicherheit und Einhaltung.

Die Prüfung wurde entwickelt, um das Wissen und die Fähigkeiten eines Kandidaten in einer Reihe von Themen zu testen, einschließlich Cloud -Architektur, Anwendungsentwicklung, Automatisierung, Compliance und Sicherheit. Die Prüfung deckt auch Best Practices für die Verwaltung und Überwachung von Cloud-basierten DevOps-Prozessen sowie Strategien zur Implementierung der kontinuierlichen Integration und Bereitstellung ab. Kandidaten, die die Prüfung bestehen, können ihre Fähigkeit demonstrieren, komplexe Cloud-basierte DevOps-Umgebungen zu entwerfen und zu verwalten.

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Professional-Cloud-DevOps-Engineer Trainingsunterlagen & Professional-Cloud-DevOps-Engineer Vorbereitung

Solange Sie die Prüfung benötigen, können wir jederzeit die Schulungsunterlagen zur Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung aktualisieren, um Ihre Prüfungsbedürfnisse abzudecken. Die Schulungsunterlagen von Fast2test enthalten viele Übungsfragen und Antworten zur Google Professional-Cloud-DevOps-Engineer Zertifizierungsprüfung und geben Ihnen eine 100%-Pass-Garantie. Mit unseren Schulungsunterlagen können Sie sich besser auf Ihre Professional-Cloud-DevOps-Engineer Prüfung vorbereiten. Außerdem bieten wir Ihnen einen einjährigen kostenlosen Update-Service.

Die Google Professional-Cloud-Devops-Engineer-Zertifizierungsprüfung ist ideal für Personen, die an DevOps und Cloud Computing interessiert sind. Diese Zertifizierung ist besonders für Fachkräfte von Vorteil, die ihre Fähigkeiten und Kenntnisse in DevOps -Praktiken und -Prinzipien sowie diejenigen, die ihre Karrieren im Cloud -Computing vorantreiben möchten, verbessern möchten. Die Zertifizierungsprüfung soll Kandidaten auf ihre Fähigkeit testen, robuste und skalierbare DevOps -Lösungen mithilfe von Google Cloud -Technologien zu entwerfen und zu implementieren, was es zu einem wertvollen Berechtigungsnachweis für Fachleute in diesem Bereich macht.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Professional-Cloud-DevOps-Engineer Prüfungsfragen mit Lösungen (Q70-Q75):

70. Frage
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

A. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.
B. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
C. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
D. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.

Antwort: B

71. Frage
You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

A. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.
B. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.
C. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).
D. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.

Antwort: D

Begründung:
The correct answer is B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
According to the Google Cloud documentation, Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run1.
Binary Authorization uses attestations to certify that a specific image has completed a previous stage in the CI
/CD pipeline, such as passing a load test2.Attestations are signed by private keys that are associated with attestors, which are entities that verify the attestations3.To follow Google-recommended practices, you should store your private keys in Cloud Key ManagementService (Cloud KMS), which is a secure and scalable service for managing cryptographic keys4.You should also use Workload Identity, which is a feature that allows Kubernetes service accounts to act as Google service accounts, to authenticate to Cloud KMS and sign attestations without having to manage or expose service account keys5.
The other options are incorrect because they do not follow Google-recommended practices. Option A and option D require human intervention to sign the attestations, which is not scalable or automated. Option C exposes the service account JSON key as a Kubernetes Secret, which is less secure than using Workload Identity.
Reference:
Creating an attestor, Creating an attestor.Cloud Key Management Service Documentation, Overview.
Attestations overview, Attestations overview.Using Workload Identity with Binary Authorization, Using Workload Identity with Binary Authorization.Binary Authorization, Binary Authorization.

72. 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 the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?

A. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
B. Implement static code analysis tooling against the Docker files used to create the containers.
C. Configure the containers in the build pipeline to always update themselves before release.
D. Reconfigure the existing operating system vulnerability software to exist inside the container.

Antwort: B

Begründung:
https://cloud.google.com/binary-authorization
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run. With Binary Authorization, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. By enforcing validation, you can gain tighter control over your container environment by ensuring only verified images are integrated into the build-and-release process.

73. 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 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.
C. 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.
D. 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.

Antwort: C

74. Frage
You need to define Service Level Objectives (SLOs) for a high-traffic multi-region web application.
Customers expect the application to always be available and have fast response times. Customers are currently happy with the application performance and availability. Based on current measurement, you observe that the
90th percentile of latency is 120ms and the 95th percentile of latency is 275ms over a 28-day window. What latency SLO would you recommend to the team to publish?

A. 90th percentile - 120ms95th percentile - 275ms
B. 90th percentile - 250ms95th percentile - 400ms
C. 90th percentile - 150ms95th percentile - 300ms
D. 90th percentile - 100ms95th percentile - 250ms

Antwort: C

Begründung:
https://sre.google/sre-book/service-level-objectives/

75. Frage
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