Professional-Cloud-Network-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud Network Engineer

When diagnosing latency issues that are suspected to be a Google Cloud platform issue, the Network Intelligence Center Performance Dashboard is the recommended tool. It provides visibility into network performance metrics across Google Cloud, including inter-region latency, which can help confirm if the increased latency is due to a platform-wide issue rather than specific to your VPC or application. While Connectivity Tests are useful for verifying reachability and basic network configurations, and tcpdump is for in-instance packet analysis, neither provides the broad, platform-level visibility needed to assess general Google Cloud network performance trends and baselines.

Exact Extract:

"The Performance Dashboard in Network Intelligence Center helps you visualize network performance metrics for your Google Cloud network, including inter-region latency and packet loss. It provides insights into the health of the Google Cloud network and can help you identify if performance degradations are due to the underlying platform."

"The Performance Dashboard provides an aggregated view of network performance across Google Cloud, allowing you to compare your current latency with historical trends and Google Cloud's overall network performance."Reference: Google Cloud Network Intelligence Center Documentation - Performance Dashboard

For GKE pods that need to egress directly to the internet for most of their communications, the most cost-efficient and straightforward approach is to deploy a GKE cluster with public cluster nodes. Public nodes have external IP addresses, allowing pods to directly reach the internet. This eliminates the need for additional services like Cloud NAT or Secure Web Proxy for outbound internet access, which would incur extra costs and management overhead.

Exact Extract:

"Public clusters have nodes with external IP addresses, allowing them to directly initiate connections to the internet. This is the simplest configuration for clusters that require direct internet egress for their workloads."

"When using public clusters, Cloud NAT is not required for outbound internet connectivity from the nodes or pods, as they can use their external IP addresses. This can reduce operational overhead and cost compared to private clusters that need NAT."Reference: Google Kubernetes Engine Documentation - Cluster network configuration, Public clusters vs Private clusters