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Preparation Process
The best way to prepare for the Google Professional Cloud DevOps Engineer certification exam is to explore the training tools offered on its official website. The candidates can start their preparation process by reviewing the topics in the study guide. This will give them an idea of what they need to cover studying for the test and plan their learning time properly.
The official platform recommends that the potential individuals complete the Professional DevOps Engineer learning path, which includes in-person classes, online training, and hands-on labs for a better understating of the exam content. The courses within this path cover each aspect of the certification test in depth improving the candidates’ chances of passing the exam at the first attempt. Apart from the learning path, the applicants can take advantage of additional resources such as Google Cloud documentation and Google Cloud solutions. There is also the option of signing up for a dedicated webinar to learn valuable prep tips from the Google experts. At the end of your preparation, use the official sample questions to familiarize yourself with the format of exam questions and check the level of readiness.
The benefit of obtaining the Google Professional Cloud DevOps Engineer Exam Certification
- Google Professional Cloud DevOps Engineer Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
- Professional Cloud DevOps Engineer exam test provide proven knowledge to use the tools to complete the task efficiently and cost-effectively than the other non-certified professionals lack in doing so.
- Google Professional Cloud DevOps Engineer Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
- Google Professional Cloud DevOps Engineer certification has more useful and relevant DevOps that help them in setting career goals for themselves. Google Professional Cloud DevOps Engineer DevOps provide them with the correct career guidance that non-certified generally are unable to get.
- Google Professional Cloud DevOps Engineer Certification is distinguished among competitors. Google Professional Cloud DevOps Engineer certification can give them an edge at that time easily when candidates appear for an employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
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Professional-Cloud-DevOps-Engineer Exam Discount & Latest Professional-Cloud-DevOps-Engineer Test Notes
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What is the duration, language, and format of Google Professional Cloud DevOps Engineer Exam
- Passing score: 80%
- Language: English
- Length of Examination: 120 minutes
- Format: Multiple choices, multiple select
- Number of Questions: 50-60
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q36-Q41):
NEW QUESTION # 36
You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment's VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?
- A. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.
- B. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.
- C. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.
- D. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.
Answer: C
NEW QUESTION # 37
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?
- A. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
- B. Assign the Container Developer role to the Cloud Build service account.
- C. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
- D. Create a new service account with the Container Developer role and use it to run Cloud Build.
Answer: B
Explanation:
https://cloud.google.com/build/docs/deploying-builds/deploy-gke
https://cloud.google.com/build/docs/securing-builds/configure-user-specified-service-accounts
NEW QUESTION # 38
Your development team has created a new version of their service's API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications. What should you do?
- A. Introduce the new version of the API.
Contact remaining users of the old API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API. - B. Announce deprecation of the old version of the API.
Introduce the new version of the API.
Contact remaining users on the old API.
Deprecate the old version of the API.
Turn down the old version of the API.
Provide best effort support to users of the old API. - C. Introduce the new version of the API.
Announce deprecation of the old version of the API.
Deprecate the old version of the API.
Contact remaining users of the old API.
Provide best effort support to users of the old API.
Turn down the old version of the API. - D. Announce deprecation of the old version of the API.
Contact remaining users on the old API.
Introduce the new version of the API.
Deprecate the old version of the API.
Provide best effort support to users of the old API.
Turn down the old version of the API.
Answer: C
NEW QUESTION # 39
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?
- A. tcp_ssl_proxy/new_connections
- B. tcp_ssl_proxy/open_connections
- C. flex/connections/current
- D. flex/instance/connections/current
Answer: D
Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp
NEW QUESTION # 40
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?
- A. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
- B. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
- C. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
- D. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/docs/tutorials/autoscaling-metrics
NEW QUESTION # 41
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