信頼的なProfessional-Cloud-Network-Engineer参考書内容一回合格-便利なProfessional-Cloud-Network-Engineer実際試験

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Professional-Cloud-Network-Engineer実際試験 & Professional-Cloud-Network-Engineer過去問無料

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Google Cloud Certified - Professional Cloud Network Engineer 認定 Professional-Cloud-Network-Engineer 試験問題 (Q214-Q219):

質問 # 214
You are adding steps to a working automation that uses a service account to authenticate. You need to drive the automation the ability to retrieve files from a Cloud Storage bucket. Your organization requires using the least privilege possible.
What should you do?

正解:B

解説:
https://cloud.google.com/storage/docs/access-control/iam-permissions#bucket_permissions


質問 # 215
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?

正解:B

解説:
Running Shutdown Scripts "Create and run shutdown scripts that execute commands right before an instance is terminated or restarted, on a best-effort basis. This is useful if you rely on automated scripts to start up and shut down instances, allowing instances time to clean up or perform tasks, such as exporting logs, or syncing with other systems."
https://cloud.google.com/compute/docs/shutdownscript
To setup Shutdown Scripts, go to GCP console and follow the steps:
Compute Engine -> VM instance -> Create Instance -> (Expand) Management, disks, networking, SSH keys Enter the key "shutdown-script" and proper value


質問 # 216
You are configuring HA VPN for your organization to connect your on-premises environment to your Google Cloud network. Your on-premises environment is closest to the us-west1 Google Cloud region. You have Google Cloud resources in us-west2, which requires a throughput of
300,000 packets per second (PPS) and an approximate bandwidth of 4 Gbps. You need to have predictable bandwidth management and maintain an SLA of 99.99% with minimal costs. What should you do?

正解:C

解説:
HA VPN throughput and redundancy requirements:
Each HA VPN gateway can support a maximum of 3 Gbps of throughput per gateway with two tunnels in active/active mode. Since your requirement is approximately 4 Gbps of bandwidth and
300,000 PPS, one HA VPN gateway would not suffice. Using two HA VPN gateways ensures sufficient capacity to handle the required throughput.
SLA of 99.99%:
To achieve a 99.99% SLA, you need to configure HA VPN with two tunnels per gateway in active/active mode (equal routing priority). This ensures redundancy, load distribution, and high availability.
BGP configuration for load balancing:
- By configuring the base routing priority metric (100) equally on both tunnels of each gateway, you ensure that traffic is evenly distributed across all tunnels.
- On the on-premises router, configure the same multi-exit discriminator (MED) values for all tunnels to maintain consistent routing behavior.


質問 # 217
You plan to deploy Google Cloud Armor web application firewall (WAF) policies that use the preconfigured WAF rules. You want all Google Cloud Armor logs to be sent to Cloud Logging with the highest level of detail possible. You have enabled Cloud Load Balancing logs for all the backend services where Cloud Armor WAF policies are applied. What should you do?

正解:A

解説:
Enable Google Cloud Armor logging: Logging must be explicitly enabled for each backend service where Cloud Armor WAF policies are applied. Without enabling this logging, detailed logs for Cloud Armor won't be generated.
Set logging level to VERBOSE: The VERBOSE logging level captures the most detailed information, including request headers and more granular data about rule matches and actions taken by the WAF policies. This level provides the highest level of visibility for troubleshooting and monitoring.
While enabling Cloud Load Balancing logs is necessary for general traffic logs, setting the Google Cloud Armor logging to VERBOSE ensures that all relevant WAF-related details are captured and sent to Cloud Logging.


質問 # 218
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.)

正解:B、C

解説:
Need "backend"_request_count for us to find data about how the request are being "distributed".
https://cloud.google.com/load-balancing/docs/https/https-logging-monitoring


質問 # 219
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