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Google Professional-Cloud-Network-Engineer Certification Exam covers a wide range of topics, including network architecture and design, network security, network optimization and management, and network troubleshooting. Candidates are expected to have a strong understanding of networking concepts and technologies, as well as a thorough knowledge of the Google Cloud Platform.

Exam Topics

To pass the Google Professional Cloud Network Engineer certification exam, the candidates must have a good comprehension of the topics covered in it. The test takers are recommended to go through the official guide to get a comprehensive understanding of the knowledge areas they need to develop mastery in. The highlights of the domains that make part of the exam syllabus are provided below:

Implementation of Network Security
Here the students will need to demonstrate their skills in configuring Identity & Access Management (IAM). This part also requires their proficiency in configuring the Cloud Armor policies as well as configuring the third-party device incorporation into Virtual Private Cloud with the help of multi-nic (NGFW). Besides that, the applicants should know how to perform the management of keys for Secure Shell (SSH) access.
Implementation of Hybrid Interconnectivity
The technical tasks covered in this section include the configuration of interconnect, configuration of site-to-site IP Security VPN (including policy-based, route-based, dynamic/static routing), as well as configuration of Cloud Router for reliability.
Implementation of Virtual Private Cloud (VPC) on Google Cloud Platform
Within this subject area, the examinees will be evaluated based on their ability to configure Virtual Private Clouds as well as configure routing. They will also be asked to demonstrate their proficiency in configuring & maintaining the Google Kubernetes Engine clusters and firewall rules.
Google Cloud Platform Network Designing, Planning & Prototyping
This topic measures the skills of the candidates in designing the general network architecture, designing a hybrid network, as well as designing Virtual Private Cloud (VPC). The applicants should also be capable of designing the container IP addressing plan for the Google Kubernetes Engine.
Management & Monitoring of Network Operations
In the framework of this module, the learners will be asked to prove their understanding of logging & monitoring with Google Cloud Platform Console or Stackdriver. Other skills measured within this area include the management and maintenance of security; maintenance and troubleshooting of connectivity issues; monitoring, maintenance, and troubleshooting of the latency & traffic flow.

Prerequisites

The Google Professional Cloud Network Engineer certification exam is designed for the specialists who work on Cloud or networking teams with the architects designing the infrastructure. There are no obligatory requirements that the candidates need to meet to go for this test. Nevertheless, some industry experience will be a benefit. It is recommended that the applicants have at least three years of professional experience, including one or more years designing and managing solutions with the help of Google Cloud Platform.

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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q149-Q154):

NEW QUESTION # 149
You are designing a Google Kubernetes Engine (GKE) cluster for your organization. The current cluster size is expected to host 10 nodes, with 20 Pods per node and 150 services. Because of the migration of new services over the next 2 years, there is a planned growth for 100 nodes, 200 Pods per node, and 1500 services. You want to use VPC-native clusters with alias IP ranges, while minimizing address consumption.
How should you design this topology?

A. Use gcloud container clusters create [CLUSTER NAME] to create a VPC-native cluster.
B. Create a subnet of size/28 with 2 secondary ranges of: /24 for Pods and /24 for Services. Create a VPC-native cluster and specify those ranges. When the services are ready to be deployed, resize the subnets.
C. Create a subnet of size/25 with 2 secondary ranges of: /17 for Pods and /21 for Services. Create a VPC-native cluster and specify those ranges.
D. Use gcloud container clusters create [CLUSTER NAME]--enable-ip-alias to create a VPC-native cluster.

Answer: C

Explanation:
The service range setting is permanent and cannot be changed. Please see https://stackoverflow.com/questions/60957040/how-to-increase-the-service-address-range-of-a-gke-cluster I think the correc tanswer is A since: Grow is expected to up to 100 nodes (that would be /25), then up to 200 pods per node (100 times 200 = 20000 so /17 is 32768), then 1500 services in a /21 (up to 2048)
https://docs.netgate.com/pfsense/en/latest/book/network/understanding-cidr-subnet-mask-notation.html

NEW QUESTION # 150
You are configuring an Application Load Balancer. The backend resides in your on-premises data center and is connected by Dedicated Interconnect. You need to ensure the load balancer can reference these on-premises resources. You do not want the traffic to traverse the internet at all. What should you do?

A. Q Configure a hybrid network endpoint group (NEG) as a backend service as part of the load balancer.Ensure firewalls are opened for the proxy-only subnet.
B. Q Configure an internet network endpoint group (NEG) as a backend service as part of the load balancer. Ensure firewalls are opened for the proxy-only subnet.
C. Q Configure a zonal network endpoint group (NEG) as a backend service as part of the load balancer.
Ensure firewalls are opened for the client source IPs.
D. Q Configure a Private Service Connect network endpoint group (NEG) as a backend service as part of the load balancer. Ensure firewalls are opened for the client source IPs.

Answer: A

Explanation:
To connect an Application Load Balancer to on-premises resources via Dedicated Interconnect without traversing the internet, you must use a hybrid network endpoint group (NEG). Hybrid NEGs are specifically designed for connecting Google Cloud load balancers to on-premises or other cloud environments via hybrid connectivity solutions like Cloud Interconnect or Cloud VPN. The proxy-only subnet is essential for the load balancer's proxies to communicate with the backends.
Exact Extract:
"A hybrid NEG enables you to use an external HTTP(S) Load Balancer with backends that are outside of Google Cloud, such as your on-premises data centers or other cloud providers. This is typically used in conjunction with hybrid connectivity solutions like Cloud Interconnect or Cloud VPN."
"When using an external HTTP(S) Load Balancer with hybrid NEGs, you must configure a proxy-only subnet in the region where the load balancer is deployed. This subnet is used by the load balancer's proxies to reach your backends."Reference: Google Cloud Load Balancing Documentation - Hybrid NEG overview

NEW QUESTION # 151
Your organization is running out of private IPv4 IP addresses. You need to create a new design pattern to reduce IP usage in your Google Kubernetes Engine clusters. Each new GKE cluster should have a unique /24 range of routable RFC1918 IP addresses. What should you do?

A. Q Share the primary and secondary ranges between multiple clusters.
B. Q Configure NAT by using the IP masquerading agent in the GKE cluster.
C. Q Configure the secondary ranges outside the RFC1918 space, or use privately used public IPs.
D. Q Use dual stack IPv4/IPv6 clusters, and assign IPv6 ranges for Pods and Services.

Answer: D

Explanation:
The most effective long-term solution to address IPv4 address exhaustion in GKE clusters, while still ensuring routability and unique ranges per cluster, is to transition to dual-stack IPv4/IPv6 clusters and leverage IPv6 for Pods and Services. This allows you to conserve IPv4 addresses for critical use cases while providing a vast address space with IPv6 for pods and services, significantly reducing the pressure on your private IPv4 ranges. Google Cloud GKE fully supports dual-stack networking.
Exact Extract:
"Dual-stack clusters enable you to assign both IPv4 and IPv6 addresses to Pods and Services. This approach helps conserve IPv4 address space by shifting a significant portion of the network communication to IPv6, particularly for internal cluster communication or communication with other IPv6-enabled services."
"When you enable dual-stack networking, GKE assigns an IPv6 address range to your Pods and can also assign IPv6 addresses to Services. This significantly expands the available addressing capacity within your cluster."Reference: Google Kubernetes Engine Documentation - Dual-stack networking

NEW QUESTION # 152
You have the following private Google Kubernetes Engine (GKE) cluster deployment:

You have a virtual machine (VM) deployed in the same VPC in the subnetwork kubernetes-management with internal IP address 192.168.40 2/24 and no external IP address assigned. You need to communicate with the cluster master using kubectl. What should you do?

A. Add an external IP address to the VM, and add this IP address in the masterAuthorizedNetworksConfig.Configure kubectl to communicate with the endpoint 35.224.37.17.
B. Add the network 192.168.36.0/24 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2
C. Add the network 192.168.40.0/24 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2.
D. Add the network 192.168.38.0/28 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2

Answer: C

NEW QUESTION # 153
All the instances in your project are configured with the custom metadata enable-oslogin value set to FALSE and to block project-wide SSH keys. None of the instances are set with any SSH key, and no project-wide SSH keys have been configured. Firewall rules are set up to allow SSH sessions from any IP address range. You want to SSH into one instance.
What should you do?

A. Generate a new SSH key pair. Verify the format of the public key and add it to the project. SSH into the instance using a third-party tool like putty or ssh.
B. Generate a new SSH key pair. Verify the format of the private key and add it to the instance. SSH into the instance using a third-party tool like putty or ssh.
C. Open the Cloud Shell SSH into the instance using gcloud compute ssh.
D. Set the custom metadata enable-oslogin to TRUE, and SSH into the instance using a third-party tool like putty or ssh.

Answer: D

NEW QUESTION # 154
......

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