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Google Professional-Cloud-Network-Engineer Certification Exam is an important certification for IT professionals who want to demonstrate their expertise in designing, implementing, and managing network solutions on the Google Cloud Platform. With the increasing demand for cloud-based network solutions, this certification can help IT professionals stand out in a competitive job market and advance their careers.
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All these Professional-Cloud-Network-Engineer certification exam benefits will not only prove your skills but also assist you to put your career on the right track and achieve your career objectives in a short time period. These are all the advantages of the Google Cloud Certified - Professional Cloud Network Engineer (Professional-Cloud-Network-Engineer) certification exam. To avail of all these advantages you just need to enroll in the Google exam dumps and pass it with good scores. To pass the Professional-Cloud-Network-Engineer exam you can get help from TestKingFree Google Questions easily.
The Google Professional-Cloud-Network-Engineer Exam for the Google Professional-Cloud-Network-Engineer certification tests the candidate's knowledge and skills in several key areas. These include designing, implementing, and managing networks on the Google Cloud Platform, including virtual private clouds, subnets, and firewalls. Professional-Cloud-Network-Engineer exam also covers network security, load balancing, and network optimization techniques, as well as the use of Google Cloud Platform tools and services for network monitoring and management.
NEW QUESTION # 176
You deployed a hub-and-spoke architecture in your Google Cloud environment that uses VPC Network Peering to connect the spokes to the hub. For security reasons, you deployed a private Google Kubernetes Engine (GKE) cluster in one of the spoke projects with a private endpoint for the control plane. You configured authorized networks to be the subnet range where the GKE nodes are deployed. When you attempt to reach the GKE control plane from a different spoke project, you cannot access it. You need to allow access to the GKE control plane from the other spoke projects. What should you do?
Answer: C
NEW QUESTION # 177
Your team is developing an application that will be used by consumers all over the world. Currently, the application sits behind a global external application load balancer You need to protect the application from potential application-level attacks. What should you do?
Answer: B
Explanation:
The correct answer is C because it meets the requirement of protecting the application from potential application-level attacks. Google Cloud Armor security policies are sets of rules that match on attributes from Layer 3 to Layer 7 to protect externally facing applications1. Web application firewall (WAF) rules are predefined rules that detect and mitigate common web attacks such as cross-site scripting (XSS), SQL injection, remote file inclusion, and more2. By applying a Google Cloud Armor security policy with WAF rules to the backend service, you can filter out malicious requests before they reach your application.
Option A is incorrect because Cloud CDN is a content delivery network that caches static content at the edge of Google's network, but it does not provide any protection against application-level attacks3. Option B is incorrect because firewall rules are applied at the VPC network level, not at the load balancer level4. Firewall rules also only match on Layer 3 and 4 attributes, not on Layer 7 attributes that are relevant for application-level attacks4. Option D is incorrect because VPC Service Controls perimeter is a feature that helps you secure your data from unauthorized access by users outside your organization, but it does not protect your application from external attacks.
Reference:
Security policy overview | Google Cloud Armor
Web application firewall (WAF) rules | Google Cloud Armor
Cloud CDN overview | Google Cloud
Using firewall rules | VPC
[VPC Service Controls overview | Google Cloud]
NEW QUESTION # 178
You are designing a Google Kubernetes Engine (GKE) cluster for your organization. The current cluster size is expected to host 10 nodes, with 20 Pods per node and 150 services. Because of the migration of new services over the next 2 years, there is a planned growth for 100 nodes, 200 Pods per node, and 1500 services. You want to use VPC-native clusters with alias IP ranges, while minimizing address consumption.
How should you design this topology?
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters
NEW QUESTION # 179
Your company has just launched a new critical revenue-generating web application. You deployed the application for scalability using managed instance groups, autoscaling, and a network load balancer as frontend. One day, you notice severe bursty traffic that the caused autoscaling to reach the maximum number of instances, and users of your application cannot complete transactions. After an investigation, you think it as a DDOS attack. You want to quickly restore user access to your application and allow successful transactions while minimizing cost.
Which two steps should you take? (Choose two.)
Answer: B,E
NEW QUESTION # 180
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.)
Answer: B,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 # 181
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