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Google Professional-Cloud-Network-Engineer Exam Syllabus Topics:

SectionObjectives
Topic 1: Implement Virtual Private Cloud (VPC) instances- Configure and manage VPC networks
  • 1. Implement Shared VPC
  • 2. Configure subnets and routes
  • 3. Manage GKE networking
  • 4. Configure firewall rules
Topic 2: Design, plan, and prototype a Google Cloud network- Design overall network architecture
  • 1. Design Virtual Private Cloud (VPC) networks
  • 2. Plan secure and scalable network topologies
  • 3. Design hybrid network connectivity
  • 4. Design IP addressing plans for Google Kubernetes Engine
Topic 3: Manage, monitor, and optimize network operations- Monitor and troubleshoot network infrastructure
  • 1. Monitor logs and metrics
  • 2. Optimize network cost and performance
  • 3. Troubleshoot connectivity issues
  • 4. Analyze latency and traffic flow
Topic 4: Implement network security- Secure Google Cloud network environments
  • 1. Configure third-party network security appliances
  • 2. Configure Identity and Access Management
  • 3. Implement secure SSH access
  • 4. Configure Cloud Armor policies
Topic 5: Implement hybrid interconnectivity- Implement hybrid networking solutions
  • 1. Configure Cloud VPN
  • 2. Configure Cloud Router and dynamic routing
  • 3. Implement site-to-site connectivity
  • 4. Configure Cloud Interconnect
Topic 6: Configure network services- Deploy and manage Google Cloud network services
  • 1. Configure Cloud CDN
  • 2. Configure load balancing
  • 3. Enable additional networking services
  • 4. Configure Cloud DNS

>> Sample Professional-Cloud-Network-Engineer Questions <<

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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q59-Q64):

NEW QUESTION # 59
(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?)

Answer: D

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 # 60
You need to ensure your personal SSH key works on every instance in your project. You want to accomplish this as efficiently as possible.
What should you do?

Answer: A


NEW QUESTION # 61
You need to define an address plan for a future new Google Kubernetes Engine (GKE) cluster in your Virtual Private Cloud (VPC). This will be a VPC-native cluster, and the default Pod IP range allocation will be used. You must pre-provision all the needed VPC subnets and their respective IP address ranges before cluster creation. The cluster will initially have a single node, but it will be scaled to a maximum of three nodes if necessary. You want to allocate the minimum number of Pod IP addresses. Which subnet mask should you use for the Pod IP address range?

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/flexible-pod-cidr#overview


NEW QUESTION # 62
You have enabled HTTP(S) load balancing for your application, and your application developers have reported that HTTP(S) requests are not being distributed correctly to your Compute Engine Virtual Machine instances. You want to find data about how the request are being distributed.
Which two methods can accomplish this? (Choose two.)

Answer: B,D


NEW QUESTION # 63
Your organization has Compute Engine instances in us-east1, us-west2, and us-central1. Your organization also has an existing Cloud Interconnect physical connection in the East Coast of the United States with a single VLAN attachment and Cloud Router in us-east1. You need to provide a design with high availability and ensure that if a region goes down, you still have access to all your other Virtual Private Cloud (VPC) subnets. You need to accomplish this in the most cost-effective manner possible. What should you do?

Answer: B


NEW QUESTION # 64
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