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Google Professional-Cloud-Network-Engineer Certification Exam is designed to test the skills and knowledge of professionals who are responsible for designing, implementing, and managing networks on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Network Engineer certification exam is a part of the Google Cloud Certified program, which aims to provide candidates with the skills and knowledge required to become effective cloud professionals.

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Google Professional-Cloud-Network-Engineer Certification Exam is a specialized certification designed for those who wish to demonstrate their expertise in designing, implementing, and managing Google Cloud Platform (GCP) networking solutions. Google Cloud Certified - Professional Cloud Network Engineer certification is intended for network engineers, network administrators, and other IT professionals who are responsible for designing and managing enterprise-grade networking solutions.

Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q139-Q144):

NEW QUESTION # 139
You are troubleshooting connectivity issues between Google Cloud and a public SaaS provider. Connectivity between the two environments is through the public internet. Your users are reporting intermittent connection errors when using TCP to connect; however, ICMP tests show no failures. According to users, errors occur around the same time every day. You want to troubleshoot and gather information by using Google Cloud tools that are most likely to provide insights into what is occurring within Google Cloud. What should you do?

A. Enable and review Cloud Logging for Cloud Armor. Look for logs with errors matching the destination IP address of the public SaaS provider.
B. Enable the Firewall Insights API. Set the deny rule insights observation period to one day. Review the insights to assure there are no firewall rules denying traffic.
C. Create a Connectivity Test by using TCP, the source IP address of your test VM, and the destination IP address of the public SaaS provider. Review the live data plane analysis and take the next steps based on the test results.
D. Enable and review Cloud Logging on your Cloud NAT gateway. Look for logs with errors matching the destination IP address of the public SaaS provider.

Answer: C

Explanation:
Explanation: Creating a Connectivity Test using TCP in Network Intelligence Center allows you to simulate the connection to the public SaaS provider and receive real-time data plane analysis. This will help determine whether there are any issues with the network path for the specific TCP connection.

NEW QUESTION # 140
Question:
You are designing the architecture for your organization so that clients can connect to certain Google APIs.
Your plan must include a way to connect to Cloud Storage and BigQuery. You also need to ensure the traffic does not traverse the internet. You want your solution to be cloud-first and require the least amount of configuration steps. What should you do?

A. Configure a global Secure Web Proxy and remove the default route to the internet.
B. Configure Private Google Access on the VPC resource. Create a default route to the internet.
C. Configure Cloud NAT and remove the default route to the internet.
D. Configure Private Google Access on the subnet resource. Create a default route to the internet.

Answer: D

Explanation:
Enabling Private Google Access on the subnet allows VMs to access Google APIs (like Cloud Storage and BigQuery) directly, without routing traffic over the internet. This approach is cloud-native and involves minimal setup, aligning with a cloud-first strategy.

NEW QUESTION # 141
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?

A. Create a subnet of size/28 with 2 secondary ranges of: /24 for Pods and /24 for Services. Create a VPC-native cluster and specify those ranges. When the services are ready to be deployed, resize the subnets.
B. Use gcloud container clusters create [CLUSTER NAME]--enable-ip-alias to create a VPC-native cluster.
C. Create a subnet of size/25 with 2 secondary ranges of: /17 for Pods and /21 for Services. Create a VPC-native cluster and specify those ranges.
D. Use gcloud container clusters create [CLUSTER NAME] to create a VPC-native cluster.

Answer: C

Explanation:
The service range setting is permanent and cannot be changed. Please see https://stackoverflow.com/questions/60957040/how-to-increase-the-service-address-range-of-a-gke-cluster I think the correc tanswer is A since: Grow is expected to up to 100 nodes (that would be /25), then up to 200 pods per node (100 times 200 = 20000 so /17 is 32768), then 1500 services in a /21 (up to 2048)
https://docs.netgate.com/pfsense/en/latest/book/network/understanding-cidr-subnet-mask-notation.html

NEW QUESTION # 142
Your company's logo is published as an image file across multiple websites that are hosted by your company You have implemented Cloud CDN, however, you want to improve the performance of the cache hit ratio associated with this image file. What should you do?

A. Configure custom cache keys for the backend service that holds the image file, and clear the Host and Protocol checkboxes-
B. Configure versioned IJRLs for each domain to serve users the *mage file before the cache entry expires
C. Configure the default time to live (TTL) as O for the image file.
D. Configure Cloud Storage as a custom origin backend to host the image file, and select multi-region as the location type

Answer: A

Explanation:
This answer meets the requirement of improving the performance of the cache hit ratio associated with the image file. The reason is:
Custom cache keys allow you to control which parts of the request URL are used to build the cache key. The cache key is a unique identifier that Cloud CDN uses to store and retrieve cached content1.
By default, Cloud CDN uses the complete request URL, including the protocol (http or https) and the host (the domain name), to build the cache key. This means that if the same image file is requested from different domains or protocols, Cloud CDN will cache multiple copies of it, which reduces the cache hit ratio1.
By clearing the Host and Protocol checkboxes, you can tell Cloud CDN to ignore these parts of the request URL when building the cache key. This way, Cloud CDN will cache only one copy of the image file, regardless of which domain or protocol it is requested from, which improves the cache hit ratio1.
Option B is incorrect because configuring Cloud Storage as a custom origin backend does not affect the cache hit ratio. It only affects how Cloud CDN retrieves the content from the origin if it is not cached. Option C is incorrect because configuring versioned URLs for each domain does not improve the cache hit ratio. It actually worsens it, because it creates more variations of the request URL that Cloud CDN has to cache separately. Option D is incorrect because configuring the default TTL as 0 for the image file means that Cloud CDN will not cache it at all, which defeats the purpose of using Cloud CDN.
Reference:
Custom cache keys | Cloud CDN | Google Cloud

NEW QUESTION # 143
You recently deployed Cloud VPN to connect your on-premises data center to Google Cloud. You need to monitor the usage of this VPN and set up alerts in case traffic exceeds the maximum allowed. You need to be able to quickly decide whether to add extra links or move to a Dedicated Interconnect. What should you do?

A. In Network Intelligence Center, check for the number of packet drops on the VPN.
B. In the Monitoring section of the Google Cloud console, use the Dashboard section to select a default dashboard for VPN usage.
C. In the VPN section of the Google Cloud console, select the VPN under hybrid connectivity and then select monitoring to display utilization on the dashboard.
D. In the Google Cloud console, use Monitoring Query Language to create a custom alert for bandwidth utilization.

Answer: D

Explanation:
Explanation: Using Monitoring Query Language (MQL) to create a custom alert for bandwidth utilization gives you flexibility and precision in setting thresholds. This helps you quickly determine when VPN traffic exceeds the limits, allowing for timely decisions about adding more links or transitioning to a Dedicated Interconnect.

NEW QUESTION # 144
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