DOWNLOAD GOOGLE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM DUMPS AND START PREPARATION TODAY

Download Google Professional-Cloud-DevOps-Engineer exam Dumps and start preparation today

Download Google Professional-Cloud-DevOps-Engineer exam Dumps and start preparation today

Blog Article

Tags: Exam Professional-Cloud-DevOps-Engineer Objectives, Professional-Cloud-DevOps-Engineer Sample Test Online, Exam Professional-Cloud-DevOps-Engineer Answers, Vce Professional-Cloud-DevOps-Engineer Exam, Exam Professional-Cloud-DevOps-Engineer Demo

We provide free PDF demo for each exam. This free demo is a small part of the official complete Google Professional-Cloud-DevOps-Engineer training dumps. The free demo can show you the quality of our exam materials. You can download any time before purchasing. You can tell if our products and service have advantage over others. I believe our Google Professional-Cloud-DevOps-Engineer training dumps will be the highest value with competitive price comparing other providers.

Google Professional-Cloud-DevOps-Engineer is a certification exam that is designed to test an individual's ability to effectively integrate and manage cloud technologies with DevOps practices. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is intended for cloud professionals who have a strong background in software development, infrastructure management, and operations.

>> Exam Professional-Cloud-DevOps-Engineer Objectives <<

Professional-Cloud-DevOps-Engineer Sample Test Online - Exam Professional-Cloud-DevOps-Engineer Answers

Our company is professional brand. There are a lot of experts and professors in the field in our company. All the experts in our company are devoting all of their time to design the best Professional-Cloud-DevOps-Engineer Professional-Cloud-DevOps-Engineer study materials for all people. In order to ensure quality of the products, a lot of experts keep themselves working day and night. We believe that our study materials will have the ability to help all people pass their Professional-Cloud-DevOps-Engineer Exam and get the related exam in the near future.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
You are designing a system with three different environments: development, quality assurance (QA), and production.
Each environment will be deployed with Terraform and has a Google Kubemetes Engine (GKE) cluster created so that application teams can deploy their applications. Anthos Config Management will be used and templated to deploy infrastructure level resources in each GKE cluster. All users (for example, infrastructure operators and application owners) will use GitOps. How should you structure your source control repositories for both Infrastructure as Code (laC) and application code?

  • A. Cloud Infrastructure (Terraform) repository is shared: different branches are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repository is shared:
    different directories are different features
  • B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repository is shared: different overlay directories are different environments Application (app source code) repositories are separated:
    different branches are different features
  • C. Cloud Infrastructure (Terraform) repositories are separated: different branches are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different overlay directories are different environments Application (app source code) repositories are separated: different branches are different features
  • D. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated:
    different branches are different environments Application (app source code) repositories are separated:
    different branches are different features

Answer: D

Explanation:
Explanation
The correct answer is B. Cloud Infrastructure (Terraform) repository is shared: different directories are different environments. GKE Infrastructure (Anthos Config Management Kustomize manifests) repositories are separated: different branches are different environments. Application (app source code) repositories are separated: different branches are different features.
This answer follows the best practices for using Terraform and Anthos Config Management with GitOps, as described in the following sources:
For Terraform, it is recommended to use a single repository for all environments, and use directories to separate them. This way, you can reuse the same Terraform modules and configurations across environments, and avoid code duplication and drift. You can also use Terraform workspaces to isolate the state files for each environment12.
For Anthos Config Management, it is recommended to use separate repositories for each environment, and use branches to separate the clusters within each environment. This way, you can enforce different policies and configurations for each environment, and use pull requests to promote changes across environments. You can also use Kustomize to create overlays for each cluster that apply specific patches or customizations34.
For application code, it is recommended to use separate repositories for each application, and use branches to separate the features or bug fixes for each application. This way, you can isolate the development and testing of each application, and use pull requests to merge changes into the main branch. You can also use tags or labels to trigger deployments to different environments5 .
References:
1: Best practices for using Terraform | Google Cloud
2: Terraform Recommended Practices - Part 1 | Terraform - HashiCorp Learn
3: Deploy Anthos on GKE with Terraform part 1: GitOps with Config Sync | Google Cloud Blog
4: Using Kustomize with Anthos Config Management | Anthos Config Management Documentation | Google Cloud
5: Deploy Anthos on GKE with Terraform part 3: Continuous Delivery with Cloud Build | Google Cloud Blog GitOps-style continuous delivery with Cloud Build | Cloud Build Documentation | Google Cloud


NEW QUESTION # 70
You are the Operations Lead for an ongoing incident with one of your services. The service usually runs at around 70% capacity. You notice that one node is returning 5xx errors for all requests. There has also been a noticeable increase in support cases from customers. You need to remove the offending node from the load balancer pool so that you can isolate and investigate the node. You want to follow Google-recommended practices to manage the incident and reduce the impact on users. What should you do?

  • A. 1. Communicate your intent to the incident team.
    2. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately.
    3. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.
  • B. 1 . Drain traffic from the unhealthy node and remove the node from service.
    2. Monitor traffic to ensure that the error is resolved and that the other nodes in the pool are handling the traffic appropriately.
    3. Scale the pool as necessary to handle the new load.
    4. Communicate your actions to the incident team.
  • C. 1. Communicate your intent to the incident team.
    2. Add a new node to the pool, and wait for the new node to report as healthy.
    3. When traffic is being served on the new node, drain traffic from the unhealthy node, and remove the old node from service.
  • D. 1 . Drain traffic from the unhealthy node and remove the old node from service.
    2. Add a new node to the pool, wait for the new node to report as healthy, and then serve traffic to the new node.
    3. Monitor traffic to ensure that the pool is healthy and is handling traffic appropriately.
    4. Communicate your actions to the incident team.

Answer: A

Explanation:
Explanation
The correct answer is A. Communicate your intent to the incident team. Perform a load analysis to determine if the remaining nodes can handle the increase in traffic offloaded from the removed node, and scale appropriately. When any new nodes report healthy, drain traffic from the unhealthy node, and remove the unhealthy node from service.
This answer follows the Google-recommended practices for incident management, as described in the Chapter
9 - Incident Response, Google SRE Book1. According to this source, some of the best practices are:
Maintain a clear line of command. Designate clearly defined roles. Keep a working record of debugging and mitigation as you go. Declare incidents early and often.
Communicate your intent before taking any action that might affect the service or the incident response.
This helps to avoid confusion, duplication of work, or unintended consequences.
Perform a load analysis before removing a node from the load balancer pool, as this might affect the capacity and performance of the service. Scale the pool as necessary to handle the expected load.
Drain traffic from the unhealthy node before removing it from service, as this helps to avoid dropping requests or causing errors for users.
Answer A follows these best practices by communicating the intent to the incident team, performing a load analysis and scaling the pool, and draining traffic from the unhealthy node before removing it.
Answer B does not follow the best practice of performing a load analysis before adding or removing nodes, as this might cause overloading or underutilization of resources.
Answer C does not follow the best practice of communicating the intent before taking any action, as this might cause confusion or conflict with other responders.
Answer D does not follow the best practice of draining traffic from the unhealthy node before removing it, as this might cause errors for users.
References:
1: Chapter 9 - Incident Response, Google SRE Book


NEW QUESTION # 71
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?

  • A. Implement Jenkins on Compute Engine virtual machines.
  • B. Implement Jenkins on Kubernetes on-premises
  • C. Implement Jenkins on Google Cloud Functions.
  • D. Implement Jenkins on local workstations.

Answer: A


NEW QUESTION # 72
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the "All logs" dropdown list of the Logs Viewer. What is the first thing you should do?

  • A. Look for the agent's test log entry in the Logs Viewer.
  • B. Install the most recent version of the Stackdriver agent.
  • C. SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd
  • D. Verify the VM service account access scope includes the monitoring.write scope.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/access/service-accounts#associating_a_service_account_to_an_instance


NEW QUESTION # 73
You are performing a semi-annual capacity planning exercise for your flagship service You expect a service user growth rate of 10% month-over-month for the next six months Your service is fully containerized and runs on a Google Kubemetes Engine (GKE) standard cluster across three zones with cluster autoscaling enabled You currently consume about 30% of your total deployed CPU capacity and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth o' as a result of zone failure while you avoid unnecessary costs How should you prepare to handle the predicted growth?

  • A. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate
  • B. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth
  • C. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs
  • D. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

Answer: C

Explanation:
The best option for preparing to handle the predicted growth is to verify the maximum node pool size, enable a Horizontal Pod Autoscaler, and then perform a load test to verify your expected resource needs. The maximum node pool size is a parameter that specifies the maximum number of nodes that can be added to a node pool by the cluster autoscaler. You should verify that the maximum node pool size is sufficient to accommodate your expected growth rate and avoid hitting any quota limits. The Horizontal Pod Autoscaler is a feature that automatically adjusts the number of Pods in a deployment or replica set based on observed CPU utilization or custom metrics. You should enable a Horizontal Pod Autoscaler for your application to ensure that it runs enough Pods to handle the load. A load test is a test that simulates high user traffic and measures the performance and reliability of your application. You should perform a load test to verify your expected resource needs and identify any bottlenecks or issues.


NEW QUESTION # 74
......

Our Professional-Cloud-DevOps-Engineer test guide has become more and more popular in the world. Of course, if you decide to buy our Professional-Cloud-DevOps-Engineer latest question, we can make sure that it will be very easy for you to pass your exam and get the certification in a short time, first, you just need 5-10 minutes can receive Professional-Cloud-DevOps-Engineer Exam Torrent that you can learn and practice it. Then you just need 20-30 hours to practice our study materials that you can attend your exam. It is really spend your little time and energy.

Professional-Cloud-DevOps-Engineer Sample Test Online: https://www.braindumpsit.com/Professional-Cloud-DevOps-Engineer_real-exam.html

Report this page