PROFESSIONAL-CLOUD-NETWORK-ENGINEER CERTIFICATION TEST QUESTIONS, VALID PROFESSIONAL-CLOUD-NETWORK-ENGINEER PRACTICE QUESTIONS

Professional-Cloud-Network-Engineer Certification Test Questions, Valid Professional-Cloud-Network-Engineer Practice Questions

Professional-Cloud-Network-Engineer Certification Test Questions, Valid Professional-Cloud-Network-Engineer Practice Questions

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Google Professional-Cloud-Network-Engineer Exam is a valuable certification for network professionals who want to demonstrate their skills in deploying, managing, and ensuring the reliability of network infrastructure on the Google Cloud Platform. Professional-Cloud-Network-Engineer exam covers a wide range of topics, including network design, network security, network optimization, and network management. Passing Professional-Cloud-Network-Engineer Exam requires a thorough understanding of the Google Cloud Platform networking environment and its associated tools. If you are looking to enhance your career prospects and increase your earning potential, Professional-Cloud-Network-Engineer exam is a must-have.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q52-Q57):

NEW QUESTION # 52
Your company runs an enterprise platform on-premises using virtual machines (VMS). Your internet customers have created tens of thousands of DNS domains panting to your public IP addresses allocated to the Vtvls Typically, your customers hard-code your IP addresses In their DNS records You are now planning to migrate the platform to Compute Engine and you want to use Bring your Own IP you want to minimize disruption to the Platform What Should you d0?

  • A. Create a VPC and request static external IP addresses from Google Cloud Assagn the IP addresses to the Compute Engine instances. Notify your customers of the new IP addresses so they can update their DNS
  • B. Verify ownership of your IP addresses. After the verification, Google Cloud advertises and provisions the IP prefix for you_ Assign the IP addresses to the Compute Engine Instances
  • C. Create a VPC With the same IP address range as your on-premises network Asson the IP addresses to the Compute Engine Instances.
  • D. Verify ownership of your IP addresses. Use live migration to import the prefix Assign the IP addresses to Compute Engine instances.

Answer: D

Explanation:
The correct answer is D because it allows you to use your own public IP addresses in Google Cloud without disrupting the platform or requiring your customers to update their DNS records. Option A is incorrect because it involves changing the IP addresses and notifying the customers, which can cause disruption and errors. Option B is incorrect because it does not use live migration, which is a feature that lets you control when Google starts advertising routes for your prefix. Option C is incorrect because it does not involve bringing your own IP addresses, but rather using Google-provided IP addresses.


NEW QUESTION # 53
You have deployed a new internal application that provides HTTP and TFTP services to on-premises hosts.
You want to be able to distribute traffic across multiple Compute Engine instances, but need to ensure that clients are sticky to a particular instance across both services.
Which session affinity should you choose?

  • A. Client IP and protocol
  • B. None
  • C. Client IP
  • D. Client IP, port and protocol

Answer: C


NEW QUESTION # 54
(You are deploying an application to Google Kubernetes Engine (GKE). The application needs to make API calls to a private Cloud Storage bucket. You need to configure your application Pods to authenticate to the Cloud Storage API, but your organization policy prevents the usage of service account keys. You want to follow Google-recommended practices. What should you do?)

  • A. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 8 hours.
  • B. Create the GKE cluster with Workload Identity Federation. Create a Google service account and a Kubernetes ServiceAccount, and configure both service accounts to use Workload Identity Federation.Attach the Kubernetes ServiceAccount to the application Pods and configure the Google service account to access the bucket with Identity and Access Management (IAM).
  • C. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 24 hours.
  • D. Create the GKE cluster with Workload Identity Federation. Configure the default node service account to access the bucket. Deploy the application into the cluster so the application can use the node service account permissions. Use Identity and Access Management (IAM) to grant the service account access to the bucket.

Answer: B

Explanation:
Create a Google Service Account: You create a dedicated Google service account specifically for your application's interaction with the private Cloud Storage bucket. This allows you to grant precise IAM permissions to this service account on the bucket (e.g., roles/storage.objectViewer or roles/storage.
objectCreator).
* Create a Kubernetes ServiceAccount: You create a Kubernetes ServiceAccount within your GKE cluster. This is the identity that your application Pods will assume within the cluster.
* Configure Workload Identity Federation: You establish a trust relationship between the Kubernetes ServiceAccount and the Google service account using Workload Identity Federation. This involves configuring IAM policies that allow the Kubernetes ServiceAccount to impersonate the Google service account.
* Annotate Pods with the Kubernetes ServiceAccount: You associate the created Kubernetes ServiceAccount with your application Pods. When the application in these Pods makes a call to the Cloud Storage API, the Workload Identity agent running on the GKE nodes automatically exchanges the Kubernetes ServiceAccount token for a short-lived Google Cloud access token for the associated Google service account.
This approach offers several security advantages and aligns with Google's recommended practices:
* Principle of Least Privilege: The Google service account is granted only the necessary permissions to access the specific Cloud Storage bucket.
* No Service Account Keys to Manage: You avoid the security risks associated with creating, storing, and rotating service account keys.
* Auditable Authentication: All API calls are attributed to the specific Google service account, providing better auditability.
* Simplified Management: Workload Identity Federation automates the credential management process for your application.
Google Cloud Documentation References:
* Workload Identity: https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity 1 - This is the primary documentation explaining how to use Workload Identity to allow applications in GKE to access Google Cloud services securely without using service account keys.


NEW QUESTION # 55
Your company offers a popular gaming service. Your instances are deployed with private IP addresses, and external access is granted through a global load balancer. You have recently engaged a traffic-scrubbing service and want to restrict your origin to allow connections only from the traffic-scrubbing service.
What should you do?

  • A. Create a Cloud Armor Security Policy that blocks all traffic except for the traffic-scrubbing service.
  • B. Create a VPC Firewall rule that blocks all traffic except for the traffic-scrubbing service.
  • C. Create a VPC Service Control Perimeter that blocks all traffic except for the traffic-scrubbing service.
  • D. Create IPTables firewall rules that block all traffic except for the traffic-scrubbing service.

Answer: A

Explanation:
Global load balancer will proxy the connection . thus no trace of session origin IP. you should use Cloud Armor to geofence your service.
https://cloud.google.com/load-balancing/docs/https


NEW QUESTION # 56
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager. What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

  • A. Cloud Deployment Manager APIs could be deprecated in the future.
  • B. Cloud Deployment Manager can be used to permanently delete cloud resources.
  • C. Cloud Deployment Manager requires a Google APIs service account to run.
  • D. Cloud Deployment Manager only supports automation of Google Cloud resources.
  • E. Cloud Deployment Manager is unfamiliar to the company's engineers.
  • F. Cloud Deployment Manager uses Python.

Answer: B,D


NEW QUESTION # 57
......

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