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Title: Updated Google Professional-Cloud-DevOps-Engineer Testkings & Latest Profess [Print This Page]
Author: alangre669    Time: 7 hour before
Title: Updated Google Professional-Cloud-DevOps-Engineer Testkings & Latest Profess
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Google Professional-Cloud-DevOps-Engineer Certification Exam is a highly sought-after certification that is designed for IT professionals who want to demonstrate their skills in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification validates the skills and knowledge of individuals in various areas of cloud computing, including DevOps practices, infrastructure automation, continuous delivery, and monitoring and logging.
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Google Professional-Cloud-DevOps-Engineer certification is ideal for professionals who work in DevOps roles and are proficient in using GCP to build and deploy applications. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is also suitable for professionals who want to enhance their skills and advance their careers in the DevOps field. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is recognized globally and is highly valued by employers, making it an excellent investment for IT professionals who want to stay ahead of the competition.
Google Professional-Cloud-DevOps-Engineer Exam is a performance-based exam that evaluates the candidate's practical skills in the real-world scenario. Professional-Cloud-DevOps-Engineer exam is conducted online, and the candidates are required to complete a set of tasks within a given time frame. Professional-Cloud-DevOps-Engineer exam is divided into two parts - a scenario-based section and a hands-on section. The scenario-based section tests the candidate's ability to analyze and solve complex problems, while the hands-on section evaluates the candidate's skills in implementing and managing GCP solutions.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q173-Q178):NEW QUESTION # 173
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?
Answer: B
Explanation:
https://cloud.google.com/anthos/ ... ging-and-monitoring

NEW QUESTION # 174
You are working with a government agency that requires you to archive application logs for seven years. You need to configure Stackdriver to export and store the logs while minimizing costs of storage. What should you do?
Answer: C
Explanation:
https://cloud.google.com/logging/docs/routing/overview

NEW QUESTION # 175
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler 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 or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?
Answer: D
Explanation:
Explanation
https://cloud.google.com/kuberne ... zontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption

NEW QUESTION # 176
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?
Answer: D

NEW QUESTION # 177
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?
Answer: C

NEW QUESTION # 178
......
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