Google Professional-Cloud-Network-Engineer Free Certification Exam Questions Answer Jul 2025 update

You have the following firewall ruleset applied to all instances in your Virtual Private Cloud (VPC):

You need to update the firewall rule to add the following rule to the ruleset:

You are using a new user account. You must assign the appropriate identity and Access Management (IAM) user roles to this new user account before updating the firewall rule. The new user account must be able to apply the update and view firewall logs. What should you do?

Assign the compute.securityAdmin and logging.viewer rule to the new user account. Apply the new firewall rule with a priority of 50.

Assign the compute.securityAdmin and logging.bucketWriter role to the new user account. Apply the new firewall rule with a priority of 150.

Assign the compute.orgSecurityPolicyAdmin and logging.viewer role to the new user account. Apply the new firewall rule with a priority of 50.

Assign the compute.orgSecurityPolicyAdmin and logging.bucketWriter role to the new user account. Apply the new firewall rule with a priority of 150.

Question # 42

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?

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.

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.

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.

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.

Question # 43

Question:

Your organization is deploying a mission-critical application with components in different regions due to strict compliance requirements. There are latency issues between different applications that reside in us-central1 and us-east4. The application team suspects the Google Cloud network as the source of the excessive latency despite using the Premium Network Service Tier. You need to use Google-recommended practices with the least amount of effort to verify the inter-region latency by investigating network performance. What should you do?

Set up the Performance Dashboard in Network Intelligence Center. Select the traffic type (cross-zonal), the metric (latency - RTT), the time period, the desired regions (us-central1 and us-east4), and the network tier.

Enable VPC Flow Logs for the VPC. Identify major bottlenecks from the application level using Flow Analyzer.

Configure two Linux VMs in each zone for each region. Install the application, and run a load test using each zone from different regions.

Configure a VM with a probe in Network Intelligence Center in each zone for each region. Choose the traffic type (cross-zonal), metric (latency - RTT), desired regions (us-central1 and us-east4), and the network tier.

Question # 44

(You need to migrate multiple PostgreSQL databases from your on-premises data center to Google Cloud. You want to significantly improve the performance of your databases while minimizing changes to your data schema and application code. You expect to exceed 150 TB of data per geographical region. You want to follow Google-recommended practices and minimize your operational costs. What should you do?)

Migrate your data to AlloyDB.

Migrate your data to Spanner.

Migrate your data to Firebase.

Migrate your data to Bigtable.

Explanation:

Comprehensive and Detailed In Depth Explanation:

Let's analyze each option based on the requirements: PostgreSQL compatibility, significant performance improvement, minimal schema/code changes, handling large data volumes, Google-recommended practices, and cost minimization:

A. Migrate your data to AlloyDB: AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service that offers significant performance improvements over standard PostgreSQL due to its architectural optimizations. It is designed to handle large data volumes and minimizes the need for schema and application code changes as it's wire-compatible with PostgreSQL. This aligns well with the requirements for performance improvement, minimal changes, large data, and being a Google-recommended option for PostgreSQL workloads.

B. Migrate your data to Spanner: Spanner is a globally distributed, horizontally scalable database with strong consistency. While it offers excellent scalability and performance, it's not directly PostgreSQL-compatible. Migrating to Spanner would likely require significant schema and application code changes due to differences in data modeling and SQL dialect.

C. Migrate your data to Firebase: Firebase is a suite of mobile and web development tools, with its primary database offering being Firestore (a NoSQL document database) and Realtime Database. These are not PostgreSQL-compatible and would require substantial changes to the data model and application code.

D. Migrate your data to Bigtable: Bigtable is a highly scalable NoSQL wide-column store. It's not compatible with PostgreSQL and requires a completely different data model and application logic.

Therefore, AlloyDB is the most suitable option as it provides PostgreSQL compatibility for minimal migration effort, significant performance improvements, scalability for large data volumes, and is a recommended Google Cloud database service for PostgreSQL workloads.

Google Cloud Documentation References:

AlloyDB for PostgreSQL Overview: https://cloud.google.com/alloydb/docs/overview - This document highlights AlloyDB 's PostgreSQL compatibility, performance benefits, scalability, and suitability for migrating existing PostgreSQL workloads.

Spanner Overview: https://cloud.google.com/spanner/docs/overview - This emphasizes Spanner 's unique features and differences from traditional relational databases like PostgreSQL.

Firebase Documentation: https://firebase.google.com/docs - This outlines the features of Firebase, including Firestore and Realtime Database, highlighting their NoSQL nature and incompatibility with PostgreSQL.

Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This describes Bigtable as a NoSQL database, emphasizing its differences from relational databases like PostgreSQL.

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Question # 45

You work for a university that is migrating to Google Cloud.

These are the cloud requirements:

On-premises connectivity with 10 Gbps

Lowest latency access to the cloud

Centralized Networking Administration Team

New departments are asking for on-premises connectivity to their projects. You want to deploy the most cost-efficient interconnect solution for connecting the campus to Google Cloud.

What should you do?

Use Shared VPC, and deploy the VLAN attachments and Dedicated Interconnect in the host project.

Use Shared VPC, and deploy the VLAN attachments in the service projects. Connect the VLAN attachment to the Shared VPC's host project.

Use standalone projects, and deploy the VLAN attachments in the individual projects. Connect the VLAN attachment to the standalone projects' Dedicated Interconnects.

Use standalone projects and deploy the VLAN attachments and Dedicated Interconnects in each of the individual projects.

Question # 46

Question:

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?

Create a Connectivity Test by using TCP, the source IP address of your test VM, and the destination IP address of the public SaaS provider. Review the live data plane analysis and take the next steps based on the test results.

Enable and review Cloud Logging on your Cloud NAT gateway. Look for logs with errors matching the destination IP address of the public SaaS provider.

Enable the Firewall insights API. Set the deny rule insights observation period to one day. Review the insights to assure there are no firewall rules denying traffic.

Enable and review Cloud Logging for Cloud Armor. Look for logs with errors matching the destination IP address of the public SaaS provider.

Question # 47

You built a web application with several containerized microservices. You want to run those microservices on Cloud Run. You must also ensure that the services are highly available to your customers with low latency. What should you do?

Deploy the Cloud Run services to multiple availability zones. Create a global TCP load balancer. Add the Cloud Run endpoints to its backend service.

Deploy the Cloud Run services to multiple regions. Create serverless network endpoint groups (NEGs) that point to the services. Create a global HTTPS load balancer, and attach the serverless NEGs as backend services of the load balancer.

Deploy the Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTTPS load balancer, and attach the Cloud Endpoints to its backend

Deploy the Cloud Run services to multiple regions. Configure a round-robin A record in Cloud DNS.

Question # 48

You are trying to update firewall rules in a shared VPC for which you have been assigned only Network Admin permissions. You cannot modify the firewall rules. Your organization requires using the least privilege necessary.

Which level of permissions should you request?

Security Admin privileges from the Shared VPC Admin.

Service Project Admin privileges from the Shared VPC Admin.

Shared VPC Admin privileges from the Organization Admin.

Organization Admin privileges from the Organization Admin.

Question # 49

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?

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.

Create a VPC Service Controls perimeter for your project with an access context policy that allows your corporate public network IP ranges.

Create a firewall rule to block API access to Cloud Storage and BigQuery from unauthorized networks.

Create a VPC Service Controls perimeter for each VPC with an access context policy that allows your corporate public network IP ranges.

Question # 50

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?

None

Client IP

Client IP and protocol

Client IP, port and protocol

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