Google techtarget pass Using Professional-cloud-network-engineer Exam Dumps by Andy q107 vce pdf

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Exam Name:	Google Cloud Certified - Professional Cloud Network Engineer
Exam Code:	Professional-Cloud-Network-Engineer Dumps
Vendor:	Google	Certification:	Google Cloud Platform
Questions:	233 Q&A's	Shared By:	andy

Question 56

You just finished your company’s migration to Google Cloud and configured an architecture with 3 Virtual Private Cloud (VPC) networks: one for Sales, one for Finance, and one for Engineering. Every VPC contains over 100 Compute Engine instances, and now developers using instances in the Sales VPC and the Finance VPC require private connectivity between each other. You need to allow communication between Sales and Finance without compromising performance or security. What should you do?

Options:

Configure an HA VPN gateway between the Finance VPC and the Sales VPC.

Configure the instances that require communication between each other with an external IP address.

Create a VPC Network Peering connection between the Finance VPC and the Sales VPC.

Configure Cloud NAT and a Cloud Router in the Sales and Finance VPCs.

Discussion

Question 57

You have the following private Google Kubernetes Engine (GKE) cluster deployment:

Questions 57

You have a virtual machine (VM) deployed in the same VPC in the subnetwork kubernetes-management with internal IP address 192.168.40 2/24 and no external IP address assigned. You need to communicate with the cluster master using kubectl. What should you do?

Options:

Add the network 192.168.40.0/24 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2.

Add the network 192.168.38.0/28 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2

Add the network 192.168.36.0/24 to the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 192.168.38.2

Add an external IP address to the VM, and add this IP address in the masterAuthorizedNetworksConfig. Configure kubectl to communicate with the endpoint 35.224.37.17.

Discussion

Question 58

Your organization has a hub and spoke architecture with VPC Network Peering, and hybrid connectivity is centralized at the hub. The Cloud Router in the hub VPC is advertising subnet routes, but the on-premises router does not appear to be receiving any subnet routes from the VPC spokes. You need to resolve this issue. What should you do?

Options:

Create custom routes at the Cloud Router in the hub to advertise the subnets of the VPC spokes.

Create custom learned routes at the Cloud Router in the hub to advertise the subnets of the VPC spokes.

Create custom routes at the Cloud Router in the spokes to advertise the subnets of the VPC spokes.

Create a BGP route policy at the Cloud Router, and ensure the subnets of the VPC spokes are being announced towards the on-premises environment.

Discussion

Question 59

(Your digital media company stores a large number of video files on-premises. Each video file ranges from 100 MB to 100 GB. You are currently storing 150 TB of video data in your on-premises network, with no room for expansion. You need to migrate all infrequently accessed video files older than one year to Cloud Storage to ensure that on-premises storage remains available for new files. You must also minimize costs and control bandwidth usage. What should you do?)

Options:

Create a Cloud Storage bucket. Establish an Identity and Access Management (IAM) role with write permissions to the bucket. Use the gsutil tool to directly copy files over the network to Cloud Storage.

Set up a Cloud Interconnect connection between the on-premises network and Google Cloud. Establish a private endpoint for Filestore access. Transfer the data from the existing Network File System (NFS) to Filestore.

Use Transfer Appliance to request an appliance. Load the data locally, and ship the appliance back to Google for ingestion into Cloud Storage.

Use Storage Transfer Service to move the data from the selected on-premises file storage systems to a Cloud Storage bucket.

Discussion

Answer:

Explanation:

Comprehensive and Detailed In Depth Explanation:

Let's analyze each option:

A. Using gsutil: While gsutil can transfer data to Cloud Storage, for 150 TB of infrequently accessed data, direct transfer over the network might be slow and consume significant bandwidth, potentially impacting other network operations. It also lacks built-in mechanisms for filtering files based on age.

B. Using Cloud Interconnect and Filestore: Cloud Interconnect provides a dedicated connection, but Filestore is a fully managed NFS service primarily designed for high-performance file sharing for applications running in Google Cloud. Migrating 150 TB of infrequently accessed data to Filestore would be cost-inefficient compared to Cloud Storage and doesn't directly address the requirement of moving older than one year files.

C. Using Transfer Appliance: Transfer Appliance is suitable for very large datasets (petabytes) or when network connectivity is poor or unreliable. While it addresses bandwidth concerns, it involves a physical appliance and might be an overkill for 150 TB of data, especially if network connectivity is reasonable.

D. Using Storage Transfer Service: Storage Transfer Service is specifically designed for moving large amounts of data between online storage systems, including on-premises file systems and Cloud Storage. It offers features like filtering by file age, scheduling transfers, and bandwidth control, directly addressing all the requirements of the question: migrating infrequently accessed files older than one year to Cloud Storage, minimizing costs (by using appropriate Cloud Storage classes for infrequent access), and controlling bandwidth usage.

Google Cloud Documentation References:

Storage Transfer Service Overview: https://cloud.google.com/storage-transfer-service/docs/overview - This page details the capabilities and use cases of Storage Transfer Service, including transferring from on-premises.

Storage Transfer Service for on-premises data: https://cloud.google.com/storage-transfer-service/docs/on-prem-overview - This specifically covers transferring data from on-premises file systems.

Cloud Storage Classes: https://cloud.google.com/storage/docs/storage-classes - Understanding the different storage classes (Standard, Nearline, Coldline, Archive) is crucial for cost optimization of infrequently accessed data. Storage Transfer Service can be configured to move data to a cost-effective class like Nearline or Coldline.

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