REGUALER PROFESSIONAL-CLOUD-DEVOPS-ENGINEER UPDATE, TEST PROFESSIONAL-CLOUD-DEVOPS-ENGINEER ASSESSMENT

Regualer Professional-Cloud-DevOps-Engineer Update, Test Professional-Cloud-DevOps-Engineer Assessment

Regualer Professional-Cloud-DevOps-Engineer Update, Test Professional-Cloud-DevOps-Engineer Assessment

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Google Professional-Cloud-DevOps-Engineer certification exam is a challenging exam that requires a comprehensive understanding of various DevOps tools and practices. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including Google Cloud Platform infrastructure services, DevOps automation, continuous integration and delivery, monitoring, and logging. Professional-Cloud-DevOps-Engineer Exam also evaluates the candidate's ability to design and implement a DevOps pipeline using Google Cloud technologies.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q118-Q123):

NEW QUESTION # 118
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. Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
  • B. Check the metric by using Metrics Explorer.
  • C. Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
  • D. Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.

Answer: C

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.
Reference:
Monitoring metrics for Kubernetes system components, Node metrics, node/ephemeral_storage/used_bytes. Using Metrics Explorer, Querying metrics. How do I find out disk space utilization information using Linux command line?, df command. How to check disk space in Linux from the command line, du command.


NEW QUESTION # 119
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. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately
  • B. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
  • C. Enable VPC Flow Logs in both VPCs and monitor packet drops
  • D. 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

Answer: D

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 # 120
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?

  • A. Disable the service account key creation policy at the project's folder, and download the default key
  • B. Enable the default service account key. and download the key
  • C. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
  • D. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.

Answer: D

Explanation:
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.


NEW QUESTION # 121
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

  • A. Use the n1-highcpu-96 machine type in the configuration of the MIG.
  • B. Deploy the service in one region and use a global load balancer to route traffic to this region.
  • C. Monitor results of Stackdriver Trace to determine the required amount of resources.
  • D. Validate that the resource requirements are within the available quota limits of each region.

Answer: D

Explanation:
Explanation
https://cloud.google.com/compute/quotas#understanding_quotas
https://cloud.google.com/compute/quotas


NEW QUESTION # 122
You support a service with a well-defined Service Level Objective (SLO). Over the previous 6 months, your service has consistently met its SLO and customer satisfaction has been consistently high. Most of your service's operations tasks are automated and few repetitive tasks occur frequently. You want to optimize the balance between reliability and deployment velocity while following site reliability engineering best practices.
What should you do? (Choose two.)

  • A. Change the implementation of your Service Level Indicators (SLIs) to increase coverage.
  • B. Get the product team to prioritize reliability work over new features.
  • C. Increase the service's deployment velocity and/or risk.
  • D. Make the service's SLO more strict.
  • E. Shift engineering time to other services that need more reliability.

Answer: C,E

Explanation:
Explanation
(https://sre.google/workbook/implementing-slos/#slo-decision-matrix)


NEW QUESTION # 123
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