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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gcp-arch-exam-practice/
课程评论：没有评论
课程名称：最新Google Cloud架构师实践测试题 概览：本课程提供了最新的样本练习题，符合考试模式的最新变化。课程包含5套练习题，每道题目都提供了详细的正确选择解析，并引用了相应的官方Google Cloud文档。建议在充分准备后再进行考试尝试。为了帮助准备，我还创建了一门课程“Google认证专业云架构师”，适合那些初学者的用户，还有另一门课程“Google Cloud Platform（GCP）初学者课程”。这门课程非常适合所有开发人员和有志于成为云架构师的人士学习Google云，有助于提升您的职业生涯。 课程内容涵盖Google专业云架构师考试所需的所有主题，包括： 1. 什么是云计算。 2. 为何选择Google Cloud。 3. 如何在Google Cloud中使用IAM并确保云的安全性。 4. GCP中的计算产品及如何使用这些计算服务，何时使用哪种计算产品。 5. Google Cloud提供的数据存储服务以及最佳的数据存储和分析实践。 6. 如何使用各种负载均衡器选项在应用程序后端之间分配请求流量，并决定最适合特定用例的负载均衡器。 7. 如何迁移现有的大数据应用程序到GCP。 8. 如何在Google Cloud中使用Dataflow设置新的大数据ETL管道。 9. 如何在GCP中捕获和分析日志。 10. 如何在Google Cloud中监控应用程序。 11. 如何进行应用程序跟踪以找出Google Cloud中的性能瓶颈。 12. 如何在Google Cloud中设置CI/CD管道。 13. 如何在Google Cloud中使用基础设施即代码（IAC）。 14. 云密钥管理服务（Cloud KMS）。 15. 云安全实践。 此课程是针对所有希望深入了解Google云和加强云技术能力的学习者的理想选择。
This is an updated sample practice questions as per latest changes in exam pattern.In this course there are 5 sets of practice question. For each question, detailed explanation is also provided for the right choice along with the references to official Google Cloud documentation relevant for respective question.Prerequisites I will recommend giving attempt to this exam after doing enough preparation. I have also created one course "Google Certified Professional Cloud Architect" to help you in preparation.If you are a beginner, then there is another course "Google Cloud Platform (GCP) for Beginner"This is an ideal course to learn about Google cloud for all developers and aspiring cloud architects. It will help in boosting your career.This course covers question from all topics required for the Google Professional Cloud Architect exam.1. What is Cloud2. Why use Google Cloud3. How to use IAM in Google cloud and ensure security in Cloud4 What are the compute offerings in GCP and how to use those compute offerings. It also covers where to use which compute offerings.5. What are the data storage services offered in Google Cloud and what are the best practices to store and analyze data in Google Cloud.6. How to distribute request traffic among application backends using various load balancer options in GCP and how to decide which load balancer is best suitable for a particular use case.7. How to migrate existing Bigdata applications in GCP. 8. How to set up a new Bigdata ETL pipeline in Google Cloud by using Dataflow9. How to capture and analyze logs in GCP10. How to monitor applications in Google Cloud11. How to do application tracing to find performance bottlenecks in Google Cloud12. How to set up CI/CD pipeline in Google Cloud13. How to use IAC in Google cloud.14. Cloud KMS15. Cloud Security Practices
