Dan Sullivan

Google Cloud Certified Professional Cloud Architect Study Guide


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      Table of Contents

      1  Cover

      2  Title Page

      3  Copyright

      4  Dedication

      5  Acknowledgments

      6  About the Author

      7  About the Technical Editors

      8  Introduction What Does This Book Cover? Interactive Online Learning Environment and Test Bank Additional Resources Objective Map Assessment Test Answers to the Assessment Test

      9  Chapter 1: Introduction to the Google Professional Cloud Architect Exam Exam Objectives Analyzing Business Requirements Analyzing Technical Requirements Exam Case Studies Summary Exam Essentials Review Questions

      10  Chapter 2: Designing Solutions to Meet Business Requirements Business Use Cases and Product Strategy Application Design and Cost Considerations Systems Integration and Data Management Compliance and Regulation Security Success Measures Summary Exam Essentials Review Questions

      11  Chapter 3: Designing Solutions to Meet Technical Requirements High Availability Scalability Reliability Summary Exam Essentials Review Questions

      12  Chapter 4: Designing Compute Systems Compute Services and Use Cases Anthos AI and Machine Learning Services Data Flows and Pipelines Compute System Provisioning Additional Design Issues Summary Exam Essentials Review Questions

      13  Chapter 5: Designing Storage Systems Overview of Storage Services Object Storage with Google Cloud Storage Network-Attached Storage with Google Cloud Filestore Databases Data Retention and Lifecycle Management Networking and Latency Summary Exam Essentials Review Questions

      14  Chapter 6: Designing Networks IP Addressing, Firewall Rules, and Routers Virtual Private Clouds Hybrid-Cloud Networking Service-Centric Networking Load Balancing Additional Network Services Summary Exam Essentials Review Questions

      15  Chapter 7: Designing for Security and Legal Compliance Identity and Access Management and Related Access Control Services Organization Constraints Data