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Manage & Monitor Network Operations

In this part of the exam content, the students should be able to log and monitor with the use of GCP Console or Stackdriver. They must have competence in the management and maintenance of security, which includes firewalls and diagnosing & resolving IAM problems. Besides that, they need to be able to deal with the following objective:

Maintain & Troubleshoot Connectivity Issues: It includes the identification of traffic flow topology, redirecting and draining of traffic flows, and cross-connect hand-off for interconnect. It also measures one’s knowledge of the monitoring of egress and ingress traffic with the use of flow logs as well as monitoring firewall logs. This section will also evaluate the learners’ skills in troubleshooting and managing VPNs and troubleshooting peering issues with Cloud Router BGP.

The applicants should also demonstrate competence in troubleshooting, monitoring, and maintaining traffic flow and latency, which include routing issues, network latency testing & throughput, and tracing traffic flow.

To pass the Google Professional-Cloud-Network-Engineer exam, candidates must have a strong understanding of networking concepts and protocols, as well as experience working with Google Cloud Platform tools and services. They must also be familiar with cloud computing concepts and best practices, and be able to apply them to real-world scenarios. Professional-Cloud-Network-Engineer Exam consists of multiple-choice and scenario-based questions, and candidates have two hours to complete it. Upon passing the exam, candidates will receive the Google Cloud Certified - Professional Cloud Network Engineer certification, which demonstrates their expertise in designing and managing networking solutions in the cloud. Google Cloud Certified - Professional Cloud Network Engineer certification is recognized by employers and IT professionals around the world, and can lead to new career opportunities and higher salaries.

Google Professional-Cloud-Network-Engineer Exam is a valuable certification for network professionals who want to demonstrate their skills in deploying, managing, and ensuring the reliability of network infrastructure on the Google Cloud Platform. Professional-Cloud-Network-Engineer exam covers a wide range of topics, including network design, network security, network optimization, and network management. Passing Professional-Cloud-Network-Engineer exam requires a thorough understanding of the Google Cloud Platform networking environment and its associated tools. If you are looking to enhance your career prospects and increase your earning potential, Professional-Cloud-Network-Engineer exam is a must-have.

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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q117-Q122):

NEW QUESTION # 117
You are creating a new application and require access to Cloud SQL from VPC instances without public IP addresses.
Which two actions should you take? (Choose two.)

A. Activate the Service Networking API in your project.
B. Create a custom static route to allow the traffic to reach the Cloud SQL API.
C. Enable Private Google Access.
D. Create a private connection to a service producer.
E. Activate the Cloud Datastore API in your project.

Answer: C,D

Explanation:
https://cloud.google.com/sql/docs/mysql/configure-private-services-access#console_1 C: If you are using private IP for any of your Cloud SQL instances, you only need to configure private services access one time for every Google Cloud project that has or needs to connect to a Cloud SQL instance.
If your Google Cloud project has a Cloud SQL instance, you can either configure it yourself or let Cloud SQL do it for you to use private IP. Cloud SQL configures private services access for you when all the conditions below are true: https://cloud.google.com/sql/docs/postgres/configure-private-services- access#before_you_begin E: You can enable Private Google access on a subnet level and any VMs on that subnet can access Google APIs by using their internal IP address. https://cloud.google.com/vpc/docs/configure-private-google-access

NEW QUESTION # 118
Your organization has distributed geographic applications with significant data volumes. You need to create a design that exposes the HTTPS workloads globally and keeps traffic costs to a minimum. What should you do?

A. Deploy a global external proxy Network Load Balancer with Standard Network Service Tier.
B. Deploy a global external Application Load Balancer with Premium Network Service Tier.
C. Deploy a regional external Application Load Balancer with Premium Network Service Tier.
D. Deploy a regional external Application Load Balancer with Standard Network Service Tier.

Answer: B

Explanation:
The global external Application Load Balancer with Premium Network Service Tier provides optimized routing and lower latency for HTTPS workloads on a global scale. Premium tier minimizes costs by avoiding multiple regional configurations while ensuring reliable performance for global users.

NEW QUESTION # 119
You are using the gcloudcommand line tool to create a new custom role in a project by copying a predefined role. You receive this error message:
INVALID_ARGUMENT: Permission resourcemanager.projects.list is not valid What should you do?

A. Add the resourcemanager.projects.setIamPolicypermission, and try again.
B. Add the resourcemanager.projects.getpermission, and try again.
C. Remove the resourcemanager.projects.listpermission, and try again.
D. Try again with a different role with a new name but the same permissions.

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/iam/docs/understanding-custom-roles

NEW QUESTION # 120
You need to create a GKE cluster in an existing VPC that is accessible from on-premises. You must meet the following requirements:
IP ranges for pods and services must be as small as possible.
The nodes and the master must not be reachable from the internet.
You must be able to use kubectl commands from on-premises subnets to manage the cluster.
How should you create the GKE cluster?

A. * Create a VPC-native GKE cluster using user-managed IP ranges.
* Enable a GKE cluster network policy, set the pod and service ranges as /24.
* Set up a network proxy to access the master.
* Enable master authorized networks.
B. * Create a VPC-native GKE cluster using GKE-managed IP ranges.
* Set the pod IP range as /21 and service IP range as /24.
* Set up a network proxy to access the master.
C. * Create a private cluster that uses VPC advanced routes.
* Set the pod and service ranges as /24.
* Set up a network proxy to access the master.
D. * Create a VPC-native GKE cluster using user-managed IP ranges.
* Enable privateEndpoint on the cluster master.
* Set the pod and service ranges as /24.
* Set up a network proxy to access the master.

Answer: D

Explanation:
* Enable master authorized networks.
Explanation:
Creating GKE private clusters with network proxies for controller access When you create a GKE private cluster with a private cluster controller endpoint, the cluster's controller node is inaccessible from the public internet, but it needs to be accessible for administration. By default, clusters can access the controller through its private endpoint, and authorized networks can be defined within the VPC network. To access the controller from on-premises or another VPC network, however, requires additional steps. This is because the VPC network that hosts the controller is owned by Google and cannot be accessed from resources connected through another VPC network peering connection, Cloud VPN or Cloud Interconnect. https://cloud.google.com/solutions/creating-kubernetes-engine-private-clusters-with-net-proxies

NEW QUESTION # 121
You have enabled HTTP(S) load balancing for your application, and your application developers have reported that HTTP(S) requests are not being distributed correctly to your Compute Engine Virtual Machine instances. You want to find data about how the request are being distributed.
Which two methods can accomplish this? (Choose two.)

A. In Stackdriver Monitoring, create a new dashboard and track the https/backend_request_count metric for the load balancer.
B. In Stackdriver Monitoring, select Resources > Metrics Explorer and search for https
/request_bytes_count metric.
C. In Stackdriver Error Reporting, look for any unacknowledged errors for the Cloud Load Balancers service.
D. In Stackdriver Monitoring, select Resources > Google Cloud Load Balancers and review the Key Metrics graphs in the dashboard.
E. On the Load Balancer details page of the GCP Console, click on the Monitoring tab, select your backend service, and look at the graphs.

Answer: A,E

NEW QUESTION # 122
......

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