Free Access to Google.Professional-Cloud-Network-Engineer.v2026-01-02.q124 with Valid Practice Test (Page 2)

Question 1

You are designing an IP address scheme for new private Google Kubernetes Engine (GKE) clusters, Due to IP address exhaustion of the RFC 1918 address space in your enterprise, you plan to use privately used public IP space for the new dusters. You want to follow Google-recommended practices, What should you do after designing your IP scheme?

A.Create the minimum usable RFC 1918 primary and secondary subnet IP ranges for the clusters. Re-use the secondary address range for the pods across multiple private GKE clusters.
B.Create the minimum usable RFC 1918 primary and secondary subnet IP ranges for the clusters Re-use the secondary address range for the services across multiple private GKE clusters.
C.Create privately used public IP primary and secondary subnet ranges for the clusters. Create a private GKE cluster With the following options selected: --enab1e-ip-a1ias and --enable-private-nodes.
D.Create privately used public IP primary and secondary subnet ranges for the clusters. Create a private GKE cluster with the following options selected and - siable-default-snat, --enable-ip-alias, and - enable-private-nodes

Correct Answer: D

The correct answer is D. Create privately used public IP primary and secondary subnet ranges for the clusters.
Create a private GKE cluster with the following options selected: --disable-default-snat, --enable-ip-alias, and
--enable-private-nodes.
This answer is based on the following facts:
* Privately used public IP (PUPI) addresses are any public IP addresses not owned by Google that a customer can use privately on Google Cloud1. You can use PUPI addresses for GKE pods and services in private clusters to mitigate address exhaustion.
* A private GKE cluster is a cluster that has no public IP addresses on the nodes2. You can use private clusters to isolate your workloads from the public internet and enhance security.
* The --disable-default-snat option disables source network address translation (SNAT) for the cluster3.
This option allows you to use PUPI addresses without conflicting with other public IP addresses on the internet.
* The --enable-ip-alias option enables alias IP ranges for the cluster4. This option allows you to use separate subnet ranges for nodes, pods, and services, and to specify the size of those ranges.
* The --enable-private-nodes option enables private nodes for the cluster5. This option ensures that the nodes have no public IP addresses and can only communicate with other Google Cloud resources in the same VPC network or peered networks.
The other options are not correct because:
* Option A is not suitable. Creating RFC 1918 primary and secondary subnet IP ranges for the clusters does not solve the problem of address exhaustion. Re-using the secondary address range for pods across multiple private GKE clusters can cause IP conflicts and routing issues.
* Option B is also not suitable. Creating RFC 1918 primary and secondary subnet IP ranges for the clusters does not solve the problem of address exhaustion. Re-using the secondary address range for services across multiple private GKE clusters can cause IP conflicts and routing issues.
* Option C is not feasible. Creating privately used public IP primary and secondary subnet ranges for the clusters is a valid step, but creating a private GKE cluster with only --enable-ip-alias and --enable- private-nodes options is not enough. You also need to disable default SNAT to avoid IP conflicts with other public IP addresses on the internet.

Question 2

Question:
Your organization is deploying a mission-critical application with components in different regions due to strict compliance requirements. There are latency issues between different applications that reside in us- central1 and us-east4. The application team suspects the Google Cloud network as the source of the excessive latency despite using the Premium Network Service Tier. You need to use Google-recommended practices with the least amount of effort to verify the inter-region latency by investigating network performance. What should you do?

A.Set up the Performance Dashboard in Network Intelligence Center. Select the traffic type (cross-zonal), the metric (latency - RTT), the time period, the desired regions (us-central1 and us-east4), and the network tier.
B.Enable VPC Flow Logs for the VPC. Identify major bottlenecks from the application level using Flow Analyzer.
C.Configure two Linux VMs in each zone for each region. Install the application, and run a load test using each zone from different regions.
D.Configure a VM with a probe in Network Intelligence Center in each zone for each region. Choose the traffic type (cross-zonal), metric (latency - RTT), desired regions (us-central1 and us-east4), and the network tier.

Question 3

Question:
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.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.
B.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.
C.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.
D.Enable and review Cloud Logging for Cloud Armor. Look for logs with errors matching the destination IP address of the public SaaS provider.

Question 4

You need to enable Private Google Access for some subnets within your Virtual Private Cloud (VPC). Your security team set up the VPC to send all internet-bound traffic back to the on-premises data center for inspection before egressing to the internet, and is also implementing VPC Service Controls for API-level security control. You have already enabled the subnets for Private Google Access. What configuration changes should you make to enable Private Google Access while adhering to your security team's requirements?

A.Create a private DNS zone with a CNAME record for *.googleapis.com to private.googleapis.com, with an A record pointing to Google's private API address range.
Change the custom route that points the default route (0/0) to the default internet gateway as the next hop.
B.Create a private DNS zone with a CNAME record for *.googleapis.com to private.googleapis.com, with an A record pointing to Google's private API address range.
Create a custom route that points Google's private API address range to the default internet gateway as the next hop.
C.Create a private DNS zone with a CNAME record for *.googleapis.com to restricted.googleapis.com, with an A record pointing to Google's restricted API address range.
Create a custom route that points Google's restricted API address range to the default internet gateway as the next hop.
D.Create a private DNS zone with a CNAME record for *.googleapis.com to restricted.googleapis.com, with an A record pointing to Google's restricted API address range.
Change the custom route that points the default route (0/0) to the default internet gateway as the next hop.

Question 5

(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?)

A.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.
B.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.
C.Use Transfer Appliance to request an appliance. Load the data locally, and ship the appliance back to Google for ingestion into Cloud Storage.
D.Use Storage Transfer Service to move the data from the selected on-premises file storage systems to a Cloud Storage bucket.

Correct Answer: D

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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