Professional-Cloud-Network-Engineer Valid Real Test - Professional-Cloud-Network-Engineer Reliable Test Vce

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To prepare for the Google Professional-Cloud-Network-Engineer Certification Exam, candidates should have a strong understanding of networking technologies and principles, as well as experience working with Google Cloud Platform products. Google offers a variety of training resources and certification preparation materials to help candidates prepare for the exam, including online training courses, study guides, and practice exams.

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Google Professional-Cloud-Network-Engineer Certification Exam is designed to test the skills and knowledge of individuals who work with Google Cloud Platform and specialize in network engineering. Google Cloud Certified - Professional Cloud Network Engineer certification demonstrates that an individual has the expertise to design, implement, and manage secure, scalable, and highly available networks on Google Cloud Platform. Professional-Cloud-Network-Engineer exam is intended for professionals with at least three years of experience in network engineering and a thorough understanding of cloud networking principles.

Google Professional-Cloud-Network-Engineer Exam is one of the latest certifications offered by Google to validate an individual's expertise in deploying, managing, and ensuring the reliability of network infrastructure on the Google Cloud Platform. Professional-Cloud-Network-Engineer exam is designed to test your understanding of various network architectures, network security, and network optimization concepts. If you are looking to become a Google Cloud Certified Professional Cloud Network Engineer, Professional-Cloud-Network-Engineer exam is a must-have.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q242-Q247):

NEW QUESTION # 242
You are designing a Google Kubernetes Engine (GKE) cluster for a highly sensitive application that processes confidential financial data in a single shared VPC. Your developers need to be able to securely access the Kubernetes API endpoint from their corporate network, which is connected to Google Cloud through Cloud VPN. You need to design the highest level of network security and ensure that the GKE control plane is not exposed to the internet. What should you do?

A. Create a public GKE cluster, and configure authorized networks on the control plane to restrict access to the corporate network's external IP address.
B. Deploy a private GKE cluster with the public endpoint disabled. Enable Private Service Connect to the control plane, allowing access only from within the VPC network or on-premises networks through Cloud VPN.
C. Create a GKE cluster with a public endpoint. Implement VPC Service Controls to prevent any unauthorized access to the Kubernetes API from the internet.
D. Deploy a private GKE cluster with a public endpoint disabled. Use an internal TCP/UDP load balancer with identity proxy as a backend to connect to the Kubernetes API within the VPC network.

Answer: B

Explanation:
A private GKE cluster with the public control plane endpoint disabled prevents the Kubernetes API from being exposed to the internet. Using Private Service Connect to the control plane provides a private, VPC-internal access path that can be reached from your corporate network over Cloud VPN (through the shared VPC), keeping control plane access confined to private connectivity only.

NEW QUESTION # 243
Your company is working with a partner to provide a solution for a customer. Both your company and the partner organization are using GCP. There are applications in the partner's network that need access to some resources in your company's VPC. There is no CIDR overlap between the VPCs.
Which two solutions can you implement to achieve the desired results without compromising the security? (Choose two.)

A. Cloud NAT
B. VPC peering
C. Shared VPC
D. Dedicated Interconnect
E. Cloud VPN

Answer: B,E

Explanation:
Google Cloud VPC Network Peering allows internal IP address connectivity across two Virtual Private Cloud (VPC) networks regardless of whether they belong to the same project or the same organization.

NEW QUESTION # 244
You are developing an HTTP API hosted on a Compute Engine virtual machine instance that must be invoked only by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service. What should you do?

A. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.
B. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/.
C. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Clients should use this IP address to connect to the service.
D. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/.

Answer: A

NEW QUESTION # 245
You have several microservices running in a private subnet in an existing Virtual Private Cloud (VPC). You need to create additional serverless services that use Cloud Run and Cloud Functions to access the microservices. The network traffic volume between your serverless services and private microservices is low. However, each serverless service must be able to communicate with any of your microservices. You want to implement a solution that minimizes cost. What should you do?

A. Deploy your serverless services to the existing VPC. Configure firewall rules to allow traffic between the serverless services and your existing microservices.
B. Create a serverless VPC access connector for each serverless service. Configure the connectors to allow traffic between the serverless services and your existing microservices.
C. Create a serverless VPC access connector. Configure the serverless service to use the connector for communication to the microservices.
D. Deploy your serverless services to the serverless VPC. Peer the serverless service VPC to the existing VPC. Configure firewall rules to allow traffic between the serverless services and your existing microservices.

Answer: C

NEW QUESTION # 246
You are increasing your usage of Cloud VPN between on-premises and GCP, and you want to support more traffic than a single tunnel can handle. You want to increase the available bandwidth using Cloud VPN.
What should you do?

A. Add a second Cloud VPN gateway in a different region than the existing VPN gateway. Create a new tunnel on the second Cloud VPN gateway that forwards the same IP range, but points to the existing on-premises VPN gateway IP address.
B. Create two VPN tunnels on the same Cloud VPN gateway that point to the same destination VPN gateway IP address.
C. Add a second on-premises VPN gateway with a different public IP address. Create a second tunnel on the existing Cloud VPN gateway that forwards the same IP range, but points at the new on-premises gateway IP.
D. Double the MTU on your on-premises VPN gateway from 1460 bytes to 2920 bytes.

Answer: C

Explanation:
https://cloud.google.com/network-connectivity/docs/vpn/concepts/classic-topologies#redundancy-options

NEW QUESTION # 247
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