GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM EXAM SHEETS - PROFESSIONAL-CLOUD-DEVOPS-ENGINEER FREE TRAINING & PROFESSIONAL-CLOUD-DEVOPS-ENGINEER STUDY REVIEW

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Exam Sheets - Professional-Cloud-DevOps-Engineer Free Training & Professional-Cloud-DevOps-Engineer Study Review

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Exam Sheets - Professional-Cloud-DevOps-Engineer Free Training & Professional-Cloud-DevOps-Engineer Study Review

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q122-Q127):

NEW QUESTION # 122
You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

  • A. Enable logging on the firewall rule
  • B. Enable Packet Mirroring on the VPC
  • C. Enable VPC Flow Logs on the subnet
  • D. Install the Ops Agent on the Compute Engine instances.

Answer: C

Explanation:
The best option for configuring Cloud Logging to log each IP address that accesses the API by using the fewest number of steps is to enable logging on the firewall rule. A firewall rule is a rule that controls the traffic to and from your Compute Engine instances. You can enable logging on a firewall rule to capture information about the traffic that matches the rule, such as source and destination IP addresses, protocols, ports, and actions. You can use Cloud Logging to view and export the firewall logs to other destinations, such as BigQuery, for further analysis.


NEW QUESTION # 123
You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

  • A. Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
  • B. Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
  • C. Confirm that the application is using the required client library and the service account key has proper permissions.
  • D. Confirm that your account has the proper permissions to use the Stackdriver dashboard.

Answer: B


NEW QUESTION # 124
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?

  • A. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat- images.
  • B. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
  • C. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/altostrat-images/.
  • D. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.

Answer: D


NEW QUESTION # 125
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

  • A. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
  • B. Enable VPC Flow Logs in both VPCs and monitor packet drops
  • C. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
  • D. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately

Answer: C

Explanation:
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.


NEW QUESTION # 126
Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely on ephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You need to identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?

  • A. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  • B. Check the metric by using Metrics Explorer.
  • C. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
  • D. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.

Answer: A

Explanation:
Explanation
The correct answer is A. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
The node/ephemeral_storage/used_bytes metric reports the total amount of ephemeral storage used by Pods on each node1. You can use Metrics Explorer to query and visualize this metric and filter it by node name, namespace, or Pod name2. This way, you can identify which Pods are consuming the most ephemeral storage and causing disk pressure on the nodes. You do not need to have execute access to the workloads or nodes to use Metrics Explorer.
The other options are incorrect because they require execute access to the workloads or nodes, which you do not have. The df -h and du -sh * commands are Linux commands that can measure disk usage, but you need to run them inside the Pods or on the nodes, which is not possible in your scenario34.


NEW QUESTION # 127
......

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