Prepare for the Google Professional Cloud Network Engineer exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Google Professional-Cloud-Network-Engineer exam and achieve success.
You created a VPC network named Retail in auto mode. You want to create a VPC network named Distribution and peer it with the Retail VPC.
How should you configure the Distribution VPC?
(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?)
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:
Your organization wants to set up hybrid connectivity with VLAN attachments that terminate in a single Cloud Router with 99.9% uptime. You need to create a network design for your on-premises router that meets those requirements and has an active/passive configuration that uses only one VLAN attachment at a time. What should you do?
The BGP multi-exit discriminator (MED) attribute is used in BGP configurations to influence the choice of path in an active/passive setup by prioritizing one path over another for egress traffic. This is ideal for a design that uses only one VLAN attachment at a time.
You are troubleshooting connectivity issues between Google Cloud and a public SaaS provider. Connectivity between the two environments is through the public internet. Your users are reporting intermittent connection errors when using TCP to connect; however, ICMP tests show no failures. According to users, errors occur around the same time every day. You want to troubleshoot and gather information by using Google Cloud tools that are most likely to provide insights into what is occurring within Google Cloud. What should you do?
Creating a Connectivity Test using TCP in Network Intelligence Center allows you to simulate the connection to the public SaaS provider and receive real-time data plane analysis. This will help determine whether there are any issues with the network path for the specific TCP connection.
You recently deployed Cloud VPN to connect your on-premises data canter to Google Cloud. You need to monitor the usage of this VPN and set up alerts in case traffic exceeds the maximum allowed. You need to be able to quickly decide whether to add extra links or move to a Dedicated Interconnect. What should you do?
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