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Google Professional-Cloud-DevOps-Engineer certification is an excellent choice for IT professionals who want to validate their skills in DevOps practices and GCP services. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is highly regarded by employers and is recognized globally as a mark of excellence in the field. Passing the certification exam requires dedication, hard work, and a thorough understanding of DevOps practices and GCP services, but the rewards are well worth the effort.

To be eligible for the Professional-Cloud-DevOps-Engineer Certification Exam, candidates need to have at least three years of experience in cloud computing, software development, and DevOps practices. They also need to have a good understanding of GCP services and tools, including Compute Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Build, and Cloud Monitoring. Candidates are recommended to take the GCP Associate Cloud Engineer and GCP Professional Cloud Architect certification exams before attempting the Professional-Cloud-DevOps-Engineer certification exam.

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster. The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

A. Configure the VPC as a Shared VPC Host project.
B. Configure a Google Cloud HTTP Load Balancer as Ingress.
C. Configure your network services on the Standard Tier.
D. Configure your Kubernetes duster as a Private Cluster.

Answer: C

Explanation:
The Standard Tier network service offers lower network costs than the Premium Tier. This is the correct option to reduce the network cost for the application3.

NEW QUESTION # 13
You support an application running on GCP and want to configure SMS notifications to your team for the most critical alerts in Stackdriver Monitoring. You have already identified the alerting policies you want to configure this for. What should you do?

A. Ensure that your team members set their SMS/phone numbers in their Stackdriver Profile. Select the SMS notification option for each alerting policy and then select the appropriate SMS/phone numbers from the list.
B. Select the Webhook notifications option for each alerting policy, and configure it to use a third-party integration tool. Ensure that your team members add their SMS/phone numbers to the external tool.
C. Download and configure a third-party integration between Stackdriver Monitoring and an SMS gateway.
Ensure that your team members add their SMS/phone numbers to the external tool.
D. Configure a Slack notification for each alerting policy. Set up a Slack-to-SMS integration to send SMS messages when Slack messages are received. Ensure that your team members add their SMS/phone numbers to the external integration.

Answer: D

NEW QUESTION # 14
You manage applications deployed on Google Kubernetes Engine (GKE) clusters across multiple Google Cloud projects. You require a centralized and scalable solution to collect and query Prometheus metrics from these clusters by using a flexible query language. You want to follow Google-recommended practices. What should you do?

A. Configure the Ops Agent to collect metrics, and run queries in Metrics Explorer.
B. Deploy a Prometheus server as a sidecar to your applications on each cluster, and run queries in Cloud Monitoring.
C. Install Prometheus server on an admin cluster with cluster autoscaler enabled, and expose the Prometheus endpoint for queries.
D. Configure Google Cloud Managed Service for Prometheus with managed collection, and run queries in Metrics Explorer.

Answer: D

Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Google Cloud DevOps guides documents:
Google Cloud's recommended practice for scalable, multi-cluster monitoring is Google Cloud Managed Service for Prometheus (GMP). This service is a fully managed, multi-cloud-capable solution built on top of Monarch (the same globally scalable time-series database Google uses internally). By using managed collection, GKE clusters automatically deploy collectors that scrape metrics without the operational overhead of managing a manual Prometheus server, scaling, or long-term storage (sharding).
This solution satisfies the "centralized and scalable" requirement because GMP allows you to query data across multiple projects and clusters using PromQL, which provides the flexible query language requested.
While the Ops Agent (Option C) is useful for VM-based workloads, GMP is the purpose-built solution for Kubernetes environments. Standard sidecar deployments (Option A) or self-managed admin clusters (Option D) introduce significant administrative toil and fail to leverage the global scale and high availability of the Cloud Monitoring backend. By centralizing metrics in Metrics Explorer, SRE teams gain a unified view of system health, making it easier to define SLOs and manage incidents across a complex microservices landscape.

NEW QUESTION # 15
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

A. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
B. Enable VPC Flow Logs in both VPCs and monitor packet drops
C. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
D. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately

Answer: C

Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.

NEW QUESTION # 16
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

A. An explanation of the root cause of the incident
B. Your opinion of the incident's severity compared to past incidents
C. A list of employees responsible for causing the incident
D. Copies of the design documents for all the services impacted by the incident
E. A list of action items to prevent a recurrence of the incident

Answer: A,C

NEW QUESTION # 17
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