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Google Professional-Cloud-Network-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified - Professional Cloud Network Engineer
Exam Number:	Professional-Cloud-Network-Engineer
Exam Price:	$200 USD
Certificate Validity Period:	2 years
Real Exam Qty:	50-60
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer
Available Languages:	English, Japanese
Exam Duration:	120 minutes
Exam Format:	Multiple Choice, Multiple Select
Passing Score:	Not publicly disclosed
Sample Questions:	Google Professional-Cloud-Network-Engineer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Google recommends 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-network-engineer

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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q132-Q137):

NEW QUESTION # 132
Question:
Your company's current network architecture has three VPC Service Controls perimeters:
* One perimeter (PERIMETER_PROD) to protect production storage buckets
* One perimeter (PERIMETER_NONPROD) to protect non-production storage buckets
* One perimeter (PERIMETER_VPC) that contains a single VPC (VPC_ONE)
In this single VPC (VPC_ONE), the IP_RANGE_PROD is dedicated to the subnets of the production workloads, and the IP_RANGE_NONPROD is dedicated to subnets of non-production workloads. Workloads cannot be created outside those two ranges. You need to ensure that production workloads can access only production storage buckets and non-production workloads can access only non-production storage buckets with minimal setup effort. What should you do?

A. Develop a design that uses the IP_RANGE_PROD and IP_RANGE_NONPROD perimeters to create two access levels, with each access level referencing a single range. Create two ingress access policies with each access policy referencing one of the two access levels. Update the PERIMETER_PROD and PERIMETER_NONPROD perimeters.
B. Develop a design that removes the PERIMETER_VPC perimeter. Update the PERIMETER_PROD perimeter to include the project containing VPC_ONE. Remove the PERIMETER_NONPROD perimeter.
C. Develop a design that removes the PERIMETER_VPC perimeter. Update the PERIMETER_NONPROD perimeter to include the project containing VPC_ONE. Remove the PERIMETER_PROD perimeter.
D. Develop a design that creates a new VPC (VPC_NONPROD) in the same project as VPC_ONE.
Migrate all the non-production workloads from VPC_ONE to the PERIMETER_NONPROD perimeter.
Remove the PERIMETER_VPC perimeter. Update the PERIMETER_PROD perimeter to include VPC_ONE and the PERIMETER_NONPROD perimeter to include VPC_NONPROD.

Answer: A

Explanation:
Using IP range-based access levels for VPC Service Controls allows segmentation of production and non- production resources within the same VPC. By creating separate access levels and ingress policies for each IP range, you ensure that only production subnets access production buckets and non-production subnets access non-production buckets, providing the required isolation.

NEW QUESTION # 133
Your organization wants to seamlessly migrate a global external web application from Compute Engine to GKE. You need to deploy a simple, cloud-first solution that exposes both applications and sends 10% of the requests to the new application. What should you do?

A. Configure two separate global external Application Load Balancers, and use Cloud DNS geolocation routing policies.
B. Configure a global external Application Load Balancer with weighted traffic splitting.
C. Configure a global external Application Load Balancer with a Service Extension that points to an application running in a VM, which controls which requests go to each application.
D. Configure a global external Application Load Balancer with weighted request mirroring.

Answer: B

Explanation:
Weighted traffic splitting allows you to gradually route a percentage of traffic to the new GKE application while still serving the majority of requests through the Compute Engine instance. This gradual transition minimizes risks and ensures seamless traffic distribution during migration.

NEW QUESTION # 134
You need to enable Cloud CDN for all the objects inside a storage bucket. You want to ensure that all the object in the storage bucket can be served by the CDN.
What should you do in the GCP Console?

A. Create a new SSL proxy load balancer, select the storage bucket as a backend, and then enable Cloud CDN on the backend.
B. Create a new cloud storage bucket, and then enable Cloud CDN on it.
C. Create a new TCP load balancer, select the storage bucket as a backend, and then enable Cloud CDN on the backend.
D. Create a new HTTP load balancer, select the storage bucket as a backend, enable Cloud CDN on the backend, and make sure each object inside the storage bucket is shared publicly.

Answer: B

NEW QUESTION # 135
You have an application that is running in a managed instance group. Your development team has released an updated instance template which contains a new feature which was not heavily tested. You want to minimize impact to users if there is a bug in the new template.
How should you update your instances?

A. Perform a canary update by starting a rolling update and specifying a target size for your instances to receive the new template.
Verify the new feature on the canary instances, and then roll forward to the rest of the instances.
B. Deploy a new instance group and canary the updated template in that group.
Verify the new feature in the new canary instance group, and then update the original instance group.
C. Using the new instance template, perform a rolling update across all instances in the instance group.
Verify the new feature once the rollout completes.
D. Manually patch some of the instances, and then perform a rolling restart on the instance group.

Answer: B

Explanation:
https://cloud.google.com/compute/docs/instance-groups/creating-groups-of-managed-instances

NEW QUESTION # 136
You ate 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 do?

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

Answer: B

Explanation:
The correct answer is D because it meets the following requirements:
Each internal project has its own Google Cloud project, which can be easily created and deleted by Terraform using the google_project resource1.
Each internal project has its own Google Cloud project owner, which can be assigned by Terraform using the google_project_iam_member resource1.
The deployment is simple and the code is reusable with centralized management, because the Shared VPC allows you to connect multiple service projects to a single host project that contains the network resources2. This way, you can use Terraform modules to create and manage the network resources in the host project, and then reference them in the service projects3.
Option A is incorrect because it does not create separate Google Cloud projects for each internal project, which makes it harder to delete the infrastructure and assign project owners. Option B is incorrect because it does not create separate Google Cloud projects for each internal project, and also because it attaches the service projects to a Shared VPC, which is not recommended for short-lived projects2. Option C is incorrect because it does not use a Shared VPC, which means that each internal project has to create and manage its own network resources, which increases complexity and reduces reusability.
Reference:
google_project - Terraform Registry
Managing infrastructure as code with Terraform, Cloud Build, and GitOps | Google Cloud Automating your automation by Creating Google Cloud Projects Automatically

NEW QUESTION # 137
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