Professional-Cloud-Network-Engineer Relevant Questions | Latest Professional-Cloud-Network-Engineer Exam Answers

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Implement GCP VPCs

Configure & Manage Firewall Rules: This part will measure one’s knowledge of priority, firewall logs, ingress & egress rules, network protocols, and target service accounts & network tags.
Configure VPCs: This subject area requires that the candidates have the ability to configure GCP virtual private Cloud resources; configure VPC peering; create shared VPCs and explain the process of sharing subnets with the other projects;
Configure & Maintain Google Kubernetes Engine Clusters: This subsection covers the skills in using private clusters, clustered with the shared VPC, VPC-native clustered with the use of alias IPs and including authorized networks for cluster master access;

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q89-Q94):

NEW QUESTION # 89
You recently reviewed the user behavior for your main application, which uses an external global Application Load Balancer, and found that the backend servers were overloaded due to erratic spikes in the rate of client requests. You need to limit the concurrent sessions and return an HTTP 429 Too Many Requests response back to the client while following Google-recommended practices. What should you do?

A. Create a Cloud Armor security policy, and apply the predefined Open Worldwide Security Application Project (OWASP) rules to automatically implement the rate limit per client IP address.
B. Configure a VM with Linux, implement the rate limit through iptables, and use a firewall rule to send an HTTP 429 response to the client application.
C. Create a Cloud Armor security policy, and associate the policy with the load balancer. Configure the security policy's settings as follows: action: throttle; conform action: allow; exceed action:
deny-429.
D. Configure the load balancer to accept only the defined amount of requests per client IP address, increase the backend servers to support more traffic, and redirect traffic to a different backend to burst traffic.

Answer: C

Explanation:
Using Google Cloud Armor, you can create a security policy to implement rate limiting on an external global Application Load Balancer. This is a Google-recommended practice for handling erratic spikes in traffic and limiting concurrent sessions to prevent backend server overload.
Cloud Armor rate limiting:
- The action: throttle setting enables rate limiting based on client behavior, such as the number of requests from a specific IP address.
- The exceed action: deny-429 returns an HTTP 429 (Too Many Requests) response to clients exceeding the configured rate, signaling them to reduce their request rate.
- This approach ensures the backend servers are protected from being overloaded while providing proper feedback to clients.

NEW QUESTION # 90
Your organization has a single project that contains multiple Virtual Private Clouds (VPCs). You need to secure API access to your Cloud Storage buckets and BigQuery datasets by allowing API access only from resources in your corporate public networks. What should you do?

A. Create an access context policy that allows your VPC and corporate public network IP ranges, and then attach the policy to Cloud Storage and BigQuery.
B. Create a VPC Service Controls perimeter for each VPC with an access context policy that allows your corporate public network IP ranges.
C. Create a VPC Service Controls perimeter for your project with an access context policy that allows your corporate public network IP ranges.
D. Create a firewall rule to block API access to Cloud Storage and BigQuery from unauthorized networks.

Answer: C

Explanation:
https://cloud.google.com/vpc-service-controls/docs/create-service-perimeters

NEW QUESTION # 91
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?

A. Create a custom Google Compute Engine image with your public ssh key embedded.
B. Upload your public ssh key to each instance Metadata.
C. Use gcloud compute sshto automatically copy your public ssh key to the instance.
D. Upload your public ssh key to the project Metadata.

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys

NEW QUESTION # 92
You have recently taken over responsibility for your organization's Google Cloud network security configurations. You want to review your Cloud Next Generation Firewall (Cloud NGFW) configurations and ensure there are no rules that are allowing ingress traffic to your VMs and services from the internet. You want to avoid manual work. What should you do?

A. Enable the Network Analyzer API and review the "VPC Network" category insights.
B. Review the firewall policy rules associated with the VPC, and filter for rules that allow ingress from 0.0.0.0/0.
C. Enable "Overly permissive rules insights" in Firewall Insights. Review results for rules that show allowed ingress traffic from internet sources.
D. Run Connectivity Tests from multiple external sources to double-check ingress traffic settings.

Answer: C

Explanation:
Firewall Insights in Google Cloud provides a feature called "Overly permissive rules insights," which automatically identifies and highlights firewall rules that allow excessive or broad access, such as ingress traffic from 0.0.0.0/0 (all internet sources). By enabling this feature, you can quickly and efficiently identify rules that could pose security risks, such as those allowing unauthorized ingress traffic to your VMs and services from the internet. This approach avoids the need for manual inspection and ensures that you have a comprehensive view of potential security issues in your network configuration.

NEW QUESTION # 93
You are planning to use Terraform to deploy the Google Cloud infrastructure for your company The design must meet the following requirements
* Each Google Cloud project must represent an Internal project that your team Will work on
* After an internal project is finished, the infrastructure must be deleted
* Each Internal project must have Its own Google Cloud project owner to manage the Google Cloud resources-
* You have 10-100 projects deployed at a time,
While you are writing the Terraform code, you need to ensure that the deployment IS Simple, and the code IS reusable With centralized management What should you doo

A. Create a single Shared VPC and attach each Google Cloud project as a service project
B. Create a Single pt0Ject and additional VPCs for each Internal project
C. Create a Single Project and Single VPC for each internal project
D. Create a Shared VPC and service project for each Internal project

Answer: A

Explanation:
The correct answer is C. Create a single Shared VPC and attach each Google Cloud project as a service project.
This answer is based on the following facts:
* A Shared VPC allows you to share one or more VPC networks across multiple Google Cloud projects1.
This simplifies the deployment and management of the network infrastructure, as you only need to create and maintain one VPC network for all your internal projects.
* A Shared VPC consists of a host project that owns the VPC network and one or more service projects that use the VPC network2. You can attach and detach service projects as needed, depending on the lifecycle of your internal projects. You can also delete service projects without affecting the host project or other service projects.
* A Shared VPC allows you to delegate administrative roles to different project owners3. You can grant the Shared VPC Admin role to the owner of the host project, who can manage the VPC network and its subnets. You can also grant the Service Project Admin role to the owners of the service projects, who can manage the Google Cloud resources in their own projects.
* The other options are not correct because:
* Option A is not suitable. Creating a single project and additional VPCs for each internal project will increase the complexity and cost of the network infrastructure. You will need to create and maintain multiple VPC networks, firewall rules, routes, and VPN tunnels. You will also have a limit on the number of VPC networks per project4.
* Option B is not feasible. Creating a single project and single VPC for each internal project will not meet the requirement of having separate project owners for each internal project. You will have only one project owner who can manage all the Google Cloud resources in the same project.
* Option D is not optimal. Creating a Shared VPC and service project for each internal project will not meet the requirement of having a simple and reusable code with centralized management.
You will need to create and maintain multiple Shared VPCs, which will increase the complexity and cost of the network infrastructure. You will also have more Terraform code to write and manage for each Shared VPC.

NEW QUESTION # 94
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