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Professional-Cloud-Network-Engineer Mock Exam - Certification Professional-Cloud-Network-Engineer Training

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Google Professional-Cloud-Network-Engineer certification exam is a challenging and comprehensive assessment of a candidate's skills and knowledge in designing and implementing network solutions on the Google Cloud Platform. Achieving this certification demonstrates a candidate's expertise and ability to work with networking technologies on the cloud, making them a valuable asset for any organization looking to leverage the power of the Google Cloud Platform for their networking needs.

Google Professional-Cloud-Network-Engineer Certification Exam is a challenging and comprehensive exam that requires significant preparation. It is a two-hour, multiple-choice exam that consists of 50 questions. Professional-Cloud-Network-Engineer exam is available in English and Japanese and can be taken at any of the authorized testing centers worldwide.

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Career Opportunities

Earning the Google Professional Cloud Network Engineer certification proves that you can perform successful Cloud implementations with the help of the command-line interface or Google Cloud Platform Console. The knowledge and skills gained during exam preparation qualify you for numerous networking-related job roles. Some of the titles that the certified candidates can consider include a Cloud Network Engineer, a Cloud Technical Solutions Engineer, a Cloud Infrastructure Engineer, a Cloud Security Engineer, a Server Infrastructure Engineer, a Data Engineer, a Corporate Sales Engineer, and a Sales Engineer, among others. The median salary associated with these positions is $132,279 per year.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q120-Q125):

NEW QUESTION # 120
Your end users are located in close proximity to us-east1 and europe-west1. Their workloads need to communicate with each other. You want to minimize cost and increase network efficiency.
How should you design this topology?

A. Create 2 VPCs, each with their own region and individual subnets. Use external IP addresses on the instances to establish connectivity between these regions.
B. Create 1 VPC with 2 regional subnets. Deploy workloads in these subnets and have them communicate using private RFC1918 IP addresses.
C. Create 1 VPC with 2 regional subnets. Create a global load balancer to establish connectivity between the regions.
D. Create 2 VPCs, each with their own regions and individual subnets. Create 2 VPN gateways to establish connectivity between these regions.

Answer: B

Explanation:
VPC Network Peering enables you to peer VPC networks so that workloads in different VPC networks can communicate in private RFC 1918 space. Traffic stays within Google's network and doesn't traverse the public internet.

NEW QUESTION # 121
(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?)

A. Migrate your data to Spanner.
B. Migrate your data to Firebase.
C. Migrate your data to Bigtable.
D. Migrate your data to AlloyDB.

Answer: B,C,D

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.

NEW QUESTION # 122
You have a data workflow which consists of data ingestion layer, data transformation layer, data analytics layer and data storage layer. You are looking for a service that would ease the tasks of creating, scheduling, monitoring and managing workflows without dealing with the management of the infrastructure .Please select the right service that would fulfil the requirement.

A. Stackdriver
B. Apache Airflow
C. Cloud Composer
D. Istio

Answer: C

Explanation:
Option B is the Correct choice because, Cloud Composer is a managed Apache Airflow service that helps you create, schedule, monitor and manage workflows.
Option A is Incorrect choice because, you could install Apache Airflow on a VM instance but it would mean you will have to manage the infrastructure.
Option C is Incorrect because, Istio an open platform to connect, monitor, and secure microservices.
Option D is Incorrect because, Stackdriver is a monitoring and management for services, containers, applications, and infrastructure.

NEW QUESTION # 123
Your organization has resources in two different VPCs, each in different Google Cloud projects, and requires connectivity between the resources in the two VPCs. You have already determined that there is no IP address overlap; however, one VPC uses privately used public IP (PUPI) ranges. You would like to enable connectivity between these resources by using a lower cost and higher performance method. What should you do?

A. Create a VPC Network Peering connection between the two VPCs that allows the export and import of subnet routes with public IP addresses. Create the necessary ingress VPC firewall rules that target the specific resources by using IP ranges as the source filter.
B. Create a VPC Network Peering connection between the two VPCs that allows the export and import of subnet routes with public IP addresses. Create the necessary ingress VPC firewall rules that target the specific resources by using network tags as the source filter.
C. Create an HA VPN between the two VPCs that includes the PUPI ranges in the custom route advertisements of the Cloud Router. Create the necessary ingress VPC firewall rules that target the specific resources by using IP ranges as the source filter.
D. Create a VPC Network Peering connection between the two VPCs that allows the export and import of custom routes for public IP addresses. Create the necessary ingress VPC firewall rules that target the specific resources by using service accounts as the source filter.

Answer: A

Explanation:
Explanation: VPC Network Peering is the most cost-effective and high-performance method for connecting two VPCs. Since one VPC uses privately used public IP (PUPI) ranges, you need to configure peering to allow the export and import of subnet routes with public IP addresses. Firewall rules can be used to control traffic between the resources.

NEW QUESTION # 124
You want to create a service in GCP using IPv6.
What should you do?

A. Configure an internal load balancer with the designated IPv6 address.
B. Configure a global load balancer with the designated IPv6 address.
C. Create the instance with the designated IPv6 address.
D. Configure a TCP Proxy with the designated IPv6 address.

Answer: B

Explanation:
https://cloud.google.com/load-balancing/docs/ipv6

NEW QUESTION # 125
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