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

SectionObjectives
Topic 1: Implement security and compliance- Secure CI/CD pipelines
  • 1. Secret and credential management
    • 2. IAM and least privilege access
      - Compliance and governance
      • 1. Audit logging and policy enforcement
        Topic 2: Develop and implement CI/CD pipelines- Build and manage CI/CD pipelines using Google Cloud tools
        • 1. Artifact repository management
          • 2. Cloud Build pipeline design
            - Automate build, test, and deployment processes
            • 1. Deployment automation strategies
              • 2. Release management practices
                Topic 3: Optimize performance and continuous delivery- Monitoring and observability
                • 1. Performance tuning and feedback loops
                  • 2. Cloud Monitoring and Logging
                    - System performance optimization
                    • 1. Scaling strategies and load handling
                      Topic 4: Implement site reliability engineering (SRE) practices- Define and manage SLI, SLO, and SLA
                      • 1. Error budgets and monitoring strategies
                        - Incident management and postmortems
                        • 1. Alerting and on-call practices

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                          Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q168-Q173):

                          NEW QUESTION # 168
                          You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

                          Answer: A

                          Explanation:
                          The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods. A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).


                          NEW QUESTION # 169
                          You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

                          Answer: B

                          Explanation:
                          Explanation
                          https://cloud.google.com/anthos/clusters/docs/on-prem/1.7/concepts/logging-and-monitoring


                          NEW QUESTION # 170
                          As part of your company's initiative to shift left on security, the infoSec team is asking all teams to implement guard rails on all the Google Kubernetes Engine (GKE) clusters to only allow the deployment of trusted and approved images You need to determine how to satisfy the InfoSec teams goal of shifting left on security. What should you do?

                          Answer: A

                          Explanation:
                          The best option for implementing guard rails on all GKE clusters to only allow the deployment of trusted and approved images is to use Binary Authorization to attest images during your CI/CD pipeline. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization to create policies that specify which images are allowed or denied in your GKE clusters. You can also use Binary Authorization to attest images during your CI/CD pipeline by using tools such as Container Analysis or third-party integrations. An attestation is a digital signature that certifies that an image meets certain criteria, such as passing vulnerability scans or code reviews. By using Binary Authorization to attest images during your CI/CD pipeline, you can ensure that only trusted and approved images are deployed to your GKE clusters.


                          NEW QUESTION # 171
                          Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

                          Answer: D

                          Explanation:
                          Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
                          https://plugins.jenkins.io/google-compute-engine/


                          NEW QUESTION # 172
                          Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

                          Answer: C

                          Explanation:
                          The best option for implementing a scalable solution to support global Prometheus querying and minimize management overhead is to use Google Cloud Managed Service for Prometheus. Google Cloud Managed Service for Prometheus is a fully managed service that allows you to collect, query, and visualize metrics from your GKE clusters using Prometheus-based tooling. You can use Google Cloud Managed Service for Prometheus to query metrics across multiple clusters and regions using a global view. You can also use Google Cloud Managed Service for Prometheus to integrate with other Google Cloud services, such as Cloud Monitoring, Cloud Logging, and BigQuery. By using Google Cloud Managed Service for Prometheus, you can avoid managing and scaling your own Prometheus servers and focus on your application performance.


                          NEW QUESTION # 173
                          ......

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