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Google Professional Cloud Network Engineer Certification Path

The Google Professional Cloud Network Engineer Certification is the highest level of certification mainly focussing to the Solution Architect Professional.There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google Professional Cloud Network Engineer.You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path

Google Professional-Cloud-Network-Engineer Certification is beneficial for networking professionals who want to advance their careers in cloud networking. Google Cloud Certified - Professional Cloud Network Engineer certification demonstrates the candidate's expertise in designing and implementing network solutions in the cloud and validates their ability to work with Google Cloud Platform's networking services. Google Cloud Certified - Professional Cloud Network Engineer certification can also help professionals to differentiate themselves in a competitive job market and increase their earning potential.

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Google Professional-Cloud-Network-Engineer Exam is a comprehensive exam that covers all aspects of network infrastructure on the Google Cloud Platform. It includes multiple-choice questions, case studies, and performance-based scenarios. Professional-Cloud-Network-Engineer exam is designed to test your knowledge of various networking concepts, including virtual private clouds, cloud load balancing, network security, and network monitoring. Passing Professional-Cloud-Network-Engineer Exam requires a thorough understanding of the Google Cloud Platform networking environment and its associated tools.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q209-Q214):

NEW QUESTION # 209
The security team has disabled external SSH access into production virtual machines in GCP.
The operations team needs to remotely manage the VMs and other resources. What can they do?

A. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
B. Grant the operations team access to use Google Cloud Shell.
C. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
D. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

Answer: B

Explanation:
Grant the operations team access to use Google Cloud Shell.
B (Correct Answer) - Grant the operations engineers access to use Google Cloud Shell.
All the engineer asked is remote access the VMs just like using SSH, so if the machines still have an external IP address, the engineers can access them via SSH using Google Cloud Shell.
This is easies effective way to meet the requirements. All other answers are possible options that might require more setup than worthwhile for your needs.

NEW QUESTION # 210
Your company is running out of network capacity to run a critical application in the on-premises data center. You want to migrate the application to GCP. You also want to ensure that the Security team does not lose their ability to monitor traffic to and from Compute Engine instances.
Which two products should you incorporate into the solution? (Choose two.)

A. Stackdriver Trace
B. VPC flow logs
C. Cloud Audit logs
D. Compute Engine instance system logs
E. Firewall logs

Answer: A,C

NEW QUESTION # 211
You are designing the network architecture for your organization. Your organization has three developer teams: Web, App, and Database. All of the developer teams require access to Compute Engine instances to perform their critical tasks. You are part of a small network and security team that needs to provide network access to the developers. You need to maintain centralized control over network resources, including subnets, routes, and firewalls. You want to minimize operational overhead. How should you design this topology?

A. Configure a host project with a Shared VPC. Create service projects for Web, App, and Database.
B. Configure three Shared VPC host projects, each with a service project: one for Web, one for App, and one for Database.
C. Configure one VPC for Web, one VPC for App, and one VPC for Database. Use VPC Network Peering to connect all VPCs in a full mesh.
D. Configure one VPC for Web, one VPC for App, and one VPC for Database. Configure HA VPN between each VPC.

Answer: B

NEW QUESTION # 212
You are a network administrator at your company planning a migration to Google Cloud and you need to finish the migration as quickly as possible, To ease the transition, you decided to use the same architecture as your on-premises network' a hub-and-spoke model. Your on-premises architecture consists of over 50 spokes. Each spoke does not have connectivity to the other spokes, and all traffic IS sent through the hub for security reasons. You need to ensure that the Google Cloud architecture matches your on-premises architecture. You want to implement a solution that minimizes management overhead and cost, and uses default networking quotas and limits. What should you do?

A. Connect all the spokes to the hub with Cloud VPN.
B. Connect all the spokes to the hub With Cloud VPN. Use a third-party network appliance as a default gateway to prevent connectivity between the spokes
C. Connect all the spokes to the hub with VPC Network Peering. Use a third-party network appliance as a default gateway to prevent connectivity between the spokes.
D. Connect all the spokes to the hub with VPC Network Peering.

Answer: C

Explanation:
The correct answer is D because it meets the following requirements:
It matches the hub-and-spoke model of the on-premises network, where each spoke is a separate VPC network that is connected to a central hub VPC network.
It minimizes management overhead and cost, because VPC Network Peering is a simple and low-cost way to connect VPC networks without using any external IP addresses or VPN gateways1.
It uses default networking quotas and limits, because VPC Network Peering does not consume any quota or limit for VPN tunnels, external IP addresses, or forwarding rules2.
It prevents connectivity between the spokes, because VPC Network Peering is non-transitive by default, meaning that a spoke can only communicate with the hub, not with other spokes1. To enforce this restriction, a third-party network appliance can be used as a default gateway in each spoke VPC network, which can filter out any traffic destined for other spokes3.
Option A is incorrect because it does not minimize cost, as Cloud VPN charges for egress traffic and requires external IP addresses for the VPN gateways4. Option B is incorrect because it does not prevent connectivity between the spokes, as VPC Network Peering allows direct communication between peered VPC networks by default1. Option C is incorrect because it does not minimize cost or use default quotas and limits, for the same reasons as option A.
Reference:
VPC Network Peering overview | VPC
Quotas and limits | VPC
Hub-and-spoke network architecture | Cloud Architecture Center
Cloud VPN overview | Google Cloud

NEW QUESTION # 213
(You are developing an internet of things (IoT) application that captures sensor data from multiple devices that have already been set up. You need to identify the global data storage product your company should use to store this data. You must ensure that the storage solution you choose meets your requirements of sub- millisecond latency. What should you do?)

A. Store the IoT data in Spanner. Use caches to speed up the process and avoid latencies.
B. Store the IoT data in Cloud Storage. Implement caching by using Cloud CDN.
C. Capture IoT data in BigQuery datasets.
D. Store the IoT data in Bigtable.

Answer: A,B,C,D

Explanation:
Let's evaluate each option based on the requirement of sub-millisecond latency for globally stored IoT data:
A: Spanner with Caching: While Spanner offers strong consistency and global scalability, the base latency might not consistently be sub-millisecond for all read/write operations globally. Introducing caching adds complexity and doesn't guarantee sub-millisecond latency for all initial reads or cache misses.
B: Bigtable: Bigtable is a highly scalable NoSQL database service designed for low-latency, high-throughput workloads. It excels at storing and retrieving large volumes of time-series data, which is typical for IoT sensor data. Its architecture is optimized for single-key lookups and scans, providing consistent sub-millisecond latency, making it a strong candidate for this use case.
C: BigQuery: BigQuery is a fully managed, serverless data warehouse designed for analytical queries on large datasets. While it's excellent for analyzing IoT data in batch, it's not optimized for the low-latency, high- throughput ingestion and retrieval required for real-time IoT applications with sub-millisecond latency needs.
D: Cloud Storage with Cloud CDN: Cloud Storage is object storage and is not designed for low-latency transactional workloads. Cloud CDN is a content delivery network that caches content closer to users for faster delivery, but it's not suitable for the primary storage of rapidly incoming IoT sensor data requiring sub- millisecond write latency.
Google Cloud Documentation References:
Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This document highlights Bigtable's suitability for low-latency and high-throughput applications, including IoT. It mentions its ability to handle massive amounts of data with consistent performance.
Spanner Overview: https://cloud.google.com/spanner/docs/overview - While Spanner offers low latency, Bigtable is generally preferred for extremely high-throughput, low-latency use cases like raw sensor data ingestion due to its optimized architecture for such workloads.
BigQuery Overview: https://cloud.google.com/bigquery/docs/introduction - This emphasizes BigQuery's analytical capabilities rather than low-latency operational workloads.
Cloud Storage Overview: https://cloud.google.com/storage/docs/overview - This describes Cloud Storage as object storage, not ideal for sub-millisecond latency reads and writes required for real-time IoT data.

NEW QUESTION # 214
......

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