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The Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam tests the candidate's ability to design, implement, and manage a DevOps culture on the Google Cloud platform. Professional-Cloud-DevOps-Engineer exam covers a wide range of topics, including infrastructure automation, configuration management, continuous integration and delivery, monitoring and logging, and incident management. Candidates are also expected to have hands-on experience with Google Cloud tools such as Kubernetes, Terraform, and Cloud Build.
Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is designed to test the technical skills and knowledge of professionals who work with Google Cloud Platform (GCP) and are responsible for designing, building, and managing highly scalable, highly available, and highly reliable cloud-native applications using DevOps principles and practices. Professional-Cloud-DevOps-Engineer Exam measures the candidate's ability to manage and automate workflows, deploy applications, monitor and optimize application performance, and implement security measures using GCP tools and services.
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Google Professional-Cloud-DevOps-Engineer Exam is a hands-on, performance-based exam that requires candidates to demonstrate their skills in real-world scenarios. Professional-Cloud-DevOps-Engineer exam is taken online and can be scheduled at any time. Candidates are given a set of tasks that they must complete within a given time frame. They are evaluated based on their ability to complete the tasks correctly and efficiently.
NEW QUESTION # 191
Your company is using HTTPS requests to trigger a public Cloud Run-hosted service accessible at the https://booking-engine-abcdef .a.run.app URL You need to give developers the ability to test the latest revisions of the service before the service is exposed to customers What should you do?
Answer: C
Explanation:
The best option for securing the CI/CD deployment pipeline is to configure vulnerability analysis with Artifact Registry and Binary Authorization. Vulnerability analysis is a feature that allows you to scan container images for known vulnerabilities and security issues. You can use vulnerability analysis with Artifact Registry, which is a service that allows you to store and manage container images and other artifacts. By using vulnerability analysis with Artifact Registry, you can ensure that your container images are scanned for vulnerabilities before they are deployed. Binary Authorization is a feature that allows you to enforce signature-based validation when deploying container images. You can use Binary Authorization with Cloud Build, which is a service that allows you to build and deploy container images. By using Binary Authorization with Cloud Build, you can ensure that only authorized and verified container images are deployed to your environment.
NEW QUESTION # 192
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE) Each team manages a different application You need to create the development and production environments for each team while you minimize costs Different teams should not be able to access other teams environments You want to follow Google-recommended practices What should you do?
Answer: A
Explanation:
The best option for creating the development and production environments for each team while minimizing costs and ensuring isolation is to create a development and a production GKE cluster in separate projects, in each cluster create a Kubernetes namespace per team, and then configure Kubernetes role-based access control (RBAC) so that each team can only access its own namespace. This option allows you to use fewer clusters and projects than creating one project or cluster per team, which reduces costs and complexity. It also allows you to isolate each team's environment by using namespaces and RBAC, which prevents teams from accessing other teams' environments.
NEW QUESTION # 193
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?
Answer: C
Explanation:
https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api-42bbb1308e76
NEW QUESTION # 194
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers
Answer: A,B
NEW QUESTION # 195
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to-share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?
Answer: C
NEW QUESTION # 196
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