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To obtain the Google Cloud Certified - Professional Cloud Network Engineer certification, candidates must pass a rigorous exam that tests their knowledge and expertise in various areas such as cloud networking, network security, and network optimization. Professional-Cloud-Network-Engineer Exam is intended to assess the candidate's ability to design, develop and implement a secure, scalable and reliable network infrastructure on the Google Cloud Platform.

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The Google Professional-Cloud-Network-Engineer Exam covers a wide range of topics, including designing, configuring, and managing network infrastructure on Google Cloud. It tests the candidate's knowledge of Google Cloud networking services such as Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud DNS, and Cloud CDN. It also evaluates the candidate's ability to troubleshoot network issues, optimize network performance, and implement network security best practices.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q295-Q300):

NEW QUESTION # 295
You are troubleshooting an application in your organization's Google Cloud network that is not functioning as expected. You suspect that packets are getting lost somewhere. The application sends packets intermittently at a low volume from a Compute Engine VM to a destination on your on-premises network through a pair of Cloud Interconnect VLAN attachments. You validated that the Cloud Next Generation Firewall (Cloud NGFW) rules do not have any deny statements blocking egress traffic, and you do not have any explicit allow rules. Following Google- recommended practices, you need to analyze the flow to see if packets are being sent correctly out of the VM to isolate the issue. What should you do?

Answer: A

Explanation:
To troubleshoot packet loss and verify if packets are being sent correctly from the VM to the on- premises destination, enabling VPC Flow Logs is the recommended approach.
VPC Flow Logs capture metadata about the traffic flow to and from the VM, including source and destination IPs, ports, protocols, and whether traffic was allowed or denied.
By setting the SAMPLE_RATE to 1.0, you capture all traffic flows for comprehensive analysis, minimizing the chance of missing any intermittent packet flow.
Logs Explorer allows you to query and analyze these logs to identify potential issues, such as dropped packets or routing problems.
This approach aligns with Google-recommended practices for network troubleshooting, providing detailed insights without requiring additional infrastructure like packet mirroring, which may introduce complexity and resource overhead.


NEW QUESTION # 296
(You are managing an application deployed on Cloud Run. The development team has released a new version of the application. You want to deploy and redirect traffic to this new version of the application. To ensure traffic to the new version of the application is served with no startup time, you want to ensure that there are two idle instances available for incoming traffic before adjusting the traffic flow. You also want to minimize administrative overhead. What should you do?)

Answer: A,B,D

Explanation:
Let's analyze each option to find the one that meets the requirements of no startup time for new traffic, two idle instances, and minimal administrative overhead:
A: Unchecking "Serve this revision immediately" and using a traffic simulation tool: Unchecking "Serve this revision immediately" does prevent the new revision from receiving traffic immediately. However, manually using a traffic simulation tool adds administrative overhead. It also doesn't guarantee that two idle instances will be ready before traffic is shifted; you would need to monitor and adjust traffic manually based on the simulation.
B: Configuring service autoscaling and setting the minimum number of instances to 2: Service-level autoscaling applies to all revisions of the service. Setting the minimum instances at the service level would ensure at least two instances are running across all active revisions, not specifically for the new revision before traffic shift.
C: Configuring revision autoscaling for the new revision and setting the minimum number of instances to 2:
This is the correct approach. By configuring revision autoscaling specifically for the new revision and setting the minimum number of instances to 2, Cloud Run will ensure that at least two instances of the new version are running and ready to serve traffic before you redirect any traffic to it. This eliminates startup latency when you do shift traffic. It also minimizes administrative overhead as Cloud Run manages the instance scaling based on this configuration.
D: Configuring revision autoscaling for the existing revision and setting the minimum number of instances to
2: This would ensure the existing version has at least two idle instances, which doesn't directly address the requirement of having idle instances ready for the new version before traffic redirection.
Google Cloud Documentation References:
Cloud Run Autoscaling: https://cloud.google.com/run/docs/configuring/min-instances - This document explains how to configure minimum and maximum instances for Cloud Run services and revisions. It clarifies that you can set minimum instances at the revision level to ensure instances are always ready.
Cloud Run Traffic Management: https://cloud.google.com/run/docs/managing/traffic - This describes how to deploy new revisions and gradually shift traffic between them. Combining minimum instances on the new revision with traffic splitting allows for zero-downtime deployments with pre-warmed instances.


NEW QUESTION # 297
Your company hosts a critical banking application in Google Cloud VPC. This application frequently interacts with a Cloud SQL for MySQL instance that stores sensitive customer data.
Due to strict compliance and security requirements, all communication between your application's VPC and the Cloud SQL instance must remain private without traversing the public internet. You need to conserve IP space as much as possible and establish a communication connection with minimal network overhead and complexity. What should you do?

Answer: A

Explanation:
Private Service Connect provides private, VPC-internal connectivity to a Google-managed service without requiring large reserved IP ranges for service networking, which conserves IP space and keeps traffic off the public internet with minimal configuration overhead.


NEW QUESTION # 298
After a network change window one of your company's applications stops working. The application uses an on-premises database server that no longer receives any traffic from the application. The database server IP address is 10.2.1.25. You examine the change request, and the only change is that 3 additional VPC subnets were created. The new VPC subnets created are 10.1.0.0/16, 10.2.0.0/16, and 10.3.1.0/24/ The on-premises router is advertising 10.0.0.0/8.
What is the most likely cause of this problem?

Answer: D

Explanation:
10.0.0.0/8 is part of 10.1.0.0/24 10.2.0.0/24 and 10.3.0.0/24, but, VPC network route priority is VPC higher than 10.0.0.0/8.
https://cloud.google.com/vpc/docs/routes#routeselection


NEW QUESTION # 299
Your company has a single Virtual Private Cloud (VPC) network deployed in Google Cloud with access from your on-premises network using Cloud Interconnect. You must configure access only to Google APIs and services that are supported by VPC Service Controls through hybrid connectivity with a service level agreement (SLA) in place. What should you do?

Answer: A

Explanation:
https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid


NEW QUESTION # 300
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