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

To determine the Pod per node CIDR range, you need to calculate how many IP addresses are required for each node, and then choose the smallest CIDR range that can accommodate that number. A CIDR range of /n means that there are 2^(32-n) IP addresses available in that range. For example, a /24 range has 2^(32-24) = 256 IP addresses.

According to the question, the application team requires a minimum of 60 Pods per node and a maximum of 100 Pods per node. Therefore, you need to choose a CIDR range that can provide at least 100 IP addresses per node, but not more than necessary. A /25 range has 2^(32-25) = 128 IP addresses, which is enough for 100 Pods per node. A /26 range has 2^(32-26) = 64 IP addresses, which is not enough for 60 Pods per node. A /24 range has 256 IP addresses, which is more than needed and wastes IP address space. A /28 range has 2^(32-28) = 16 IP addresses, which is far too small for any node.

Therefore, the best option is B. /25. This is also consistent with the Google Kubernetes Engine documentation, which states that each node is allocated a /24 range of IP addresses for Pods by default, but the maximum number of Pods per node is 1101. This means that there are approximately twice as many available IP addresses as possible Pods, which is similar to the ratio of 128 to 100 in the /25 range.

1: Configure maximum Pods per node | Google Kubernetes Engine (GKE) | Google Cloud