Google Cloud Certified: Professional Cloud Architect Study Guide "Google Cloud Certified: Professional Cloud Architect Study Guide" serves as a comprehensive resource to prepare for the Professional Cloud Architect certification exam. Through twelve chapters covering various aspects of GCP fundamentals, solution design and planning, network design and connectivity, storage and database solutions, compute and serverless solutions, security and identity management, monitoring and diagnostics, cost optimization and resource management, data analytics and machine learning, migration and hybrid architecture, and exam preparation strategies, readers will gain the knowledge and skills required to excel in their role as a Cloud Architect. By following the guide and mastering the topics, readers will be well-equipped to pass the certification exam and demonstrate their expertise in architecting solutions on the Google Cloud Platform. The book covers the following: Chapter 1: Introduction to Google Cloud Certified: Professional Cloud Architect Certification Overview of the Google Cloud Certified: Professional Cloud Architect certification. Understanding the role and responsibilities of a Cloud Architect. Examining the Google Cloud Certified: Professional Cloud Architect Certification exam structure, format, and scoring. Navigating the certification journey for Google Cloud Certified: Professional Cloud Architect Certification. Developing a study plan and effective exam preparation strategies for Google Cloud Certified: Professional Cloud Architect Certification. Chapter 2: Introduction to Google Cloud Platform (GCP) Understanding the basics of Google Cloud Platform (GCP). Exploring GCP core services and their use cases. Overview of GCP regions, zones, and availability. Utilizing the Google Cloud Console for managing GCP resources. Understanding GCP billing and pricing models. Chapter 3: Designing and Planning a GCP Solution Analyzing business and technical requirements for GCP solutions. Identifying GCP services to meet specific requirements. Designing highly available and scalable architectures on GCP. Assessing security and compliance requirements for GCP solutions. Planning for data management and storage on GCP. Chapter 4: GCP Network Design and Connectivity Designing GCP virtual networks and subnets. Implementing VPC peering and VPN connections on GCP. Configuring load balancing and autoscaling on GCP. Designing hybrid cloud architectures with GCP. Implementing GCP networking security and access controls. Chapter 5: GCP Storage and Database Solutions Understanding storage options on GCP, including Cloud Storage and Cloud Filestore. Implementing data backup and recovery strategies on GCP. Designing and deploying databases on GCP, including Cloud Spanner and Cloud SQL. Utilizing NoSQL databases like Firestore and Bigtable on GCP. Optimizing storage and database performance on GCP. Chapter 6: GCP Compute and Serverless Solutions Designing and deploying compute resources on GCP, including Compute Engine and App Engine. Utilizing serverless computing options on GCP, including Cloud Functions and Cloud Run. Implementing containerized applications with Google Kubernetes Engine (GKE). Optimizing compute resources and costs on GCP. Designing solutions for high availability and fault tolerance on GCP. Chapter 7: GCP Security and Identity Management Chapter 8: GCP Monitoring, Logging, and Diagnostics Chapter 9: GCP Cost Optimization and Resource Management Chapter 10: GCP Data Analytics and Machine Learning Chapter 11: GCP Migration and Hybrid Architecture Chapter 12: Google Cloud Certified: Professional Cloud Architect Certification Exam Preparation and Practice
