100% PASS QUIZ TRUSTABLE PROFESSIONAL-CLOUD-DEVOPS-ENGINEER - GOOGLE CLOUD CERTIFIED - PROFESSIONAL CLOUD DEVOPS ENGINEER EXAM RELIABLE TEST TEST

100% Pass Quiz Trustable Professional-Cloud-DevOps-Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam Reliable Test Test

100% Pass Quiz Trustable Professional-Cloud-DevOps-Engineer - Google Cloud Certified - Professional Cloud DevOps Engineer Exam Reliable Test Test

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Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is a highly sought-after certification for professionals in the field of Cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is offered by Google Cloud and is designed to validate the skills and expertise of individuals in deploying, monitoring, and managing applications on the Google Cloud platform.

Google Professional-Cloud-DevOps-Engineer certification is an advanced-level certification that provides a significant advantage for professionals who are interested in pursuing a career in cloud-based DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized by leading IT organizations and is considered a valuable asset for IT professionals who want to advance their careers in the field of DevOps engineering. By earning this certification, IT professionals can demonstrate their skills and expertise in designing, implementing, and managing DevOps pipelines using Google Cloud technologies.

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The Google Professional-Cloud-DevOps-Engineer exam covers a wide range of topics including continuous integration and delivery, infrastructure as code, monitoring and logging, automation, and security. It is a comprehensive exam that tests the candidate's ability to design and implement efficient cloud-based systems using Google Cloud technologies. Professional-Cloud-DevOps-Engineer Exam is intended for individuals who have a strong understanding of the DevOps principles and practices and are looking to enhance their skills in cloud-based systems management.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q109-Q114):

NEW QUESTION # 109
You are reviewing your deployment pipeline in Google Cloud Deploy You must reduce toil in the pipeline and you want to minimize the amount of time it takes to complete an end-to-end deployment What should you do?
Choose 2 answers

  • A. Add more engineers to finish the manual steps.
  • B. Divide the automation steps into smaller tasks
  • C. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy
  • D. Create a trigger to notify the required team to complete the next step when manual intervention is required
  • E. Automate promotion approvals from the development environment to the test environment

Answer: D,E

Explanation:
Explanation
The best options for reducing toil in the pipeline and minimizing the amount of time it takes to complete an end-to-end deployment are to create a trigger to notify the required team to complete the next step when manual intervention is required and to automate promotion approvals from the development environment to the test environment. A trigger is a resource that initiates a deployment when an event occurs, such as a code change, a schedule, or a manual request. You can create a trigger to notify the required team to complete the next step when manual intervention is required by using Cloud Build or Cloud Functions. This way, you can reduce the waiting time and human errors in the pipeline. A promotion approval is a process that allows you to approve or reject a deployment from one environment to another, such as from development to test. You can automate promotion approvals from the development environment to the test environment by using Google Cloud Deploy or Cloud Build. This way, you can speed up the deployment process and avoid manual steps.


NEW QUESTION # 110
Your organization stores all application logs from multiple Google Cloud projects in a central Cloud Logging project. Your security team wants to enforce a rule that each project team can only view their respective logs, and only the operations team can view all the logs. You need to design a solution that meets the security team's requirements, while minimizing costs. What should you do?

  • A. Create Identity and Access Management (IAM) roles for each project team and restrict access to the _ Default log view in their individual Google Cloud project. Grant viewer access to the operations team in the central logging project.
  • B. Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _ Al Il-jogs View in the central logging project.
  • C. Export logs to BigQuery tables for each project team. Grant project teams access to their tables. Grant logs writer access to the operations team in the central logging project.
  • D. Grant each project team access to the project _ Default view in the central logging project. Grant logging viewer access to the operations team in the central logging project.

Answer: B


NEW QUESTION # 111
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. 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.
  • C. 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.
  • 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:
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 # 112
You are configuring your CI/CD pipeline natively on Google Cloud. You want builds in a pre-production Google Kubernetes Engine (GKE) environment to be automatically load-tested before being promoted to the production GKE environment. You need to ensure that only builds that have passed this test are deployed to production. You want to follow Google-recommended practices. How should you configure this pipeline with Binary Authorization?

  • A. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using their personal private key.
  • B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
  • C. Create an attestation for the builds that pass the load test by requiring the lead quality assurance engineer to sign the attestation by using a key stored in Cloud Key Management Service (Cloud KMS).
  • D. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) with a service account JSON key stored as a Kubernetes Secret.

Answer: B

Explanation:
The correct answer is B. Create an attestation for the builds that pass the load test by using a private key stored in Cloud Key Management Service (Cloud KMS) authenticated through Workload Identity.
According to the Google Cloud documentation, Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run1.
Binary Authorization uses attestations to certify that a specific image has completed a previous stage in the CI
/CD pipeline, such as passing a load test2.Attestations are signed by private keys that are associated with attestors, which are entities that verify the attestations3.To follow Google-recommended practices, you should store your private keys in Cloud Key ManagementService (Cloud KMS), which is a secure and scalable service for managing cryptographic keys4.You should also use Workload Identity, which is a feature that allows Kubernetes service accounts to act as Google service accounts, to authenticate to Cloud KMS and sign attestations without having to manage or expose service account keys5.
The other options are incorrect because they do not follow Google-recommended practices. Option A and option D require human intervention to sign the attestations, which is not scalable or automated. Option C exposes the service account JSON key as a Kubernetes Secret, which is less secure than using Workload Identity.
Reference:
Creating an attestor, Creating an attestor.Cloud Key Management Service Documentation, Overview.
Attestations overview, Attestations overview.Using Workload Identity with Binary Authorization, Using Workload Identity with Binary Authorization.Binary Authorization, Binary Authorization.


NEW QUESTION # 113
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

  • A. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
  • B. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
  • C. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
  • D. Inject the secret at the time of instance creation via an encrypted configuration management system.

Answer: C


NEW QUESTION # 114
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