Oreilly – Google Cloud Platform Professional Cloud Architect 2023-1

Oreilly – Google Cloud Platform Professional Cloud Architect 2023-1 Downloadly IRSpace

Apr 17, 2025 - 19:46 Updated: Apr 21, 2025 - 09:50

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Oreilly – Google Cloud Platform Professional Cloud Architect 2023-1

Google Cloud Platform Professional Cloud Architect course. This comprehensive video training course, with more than 10 hours of content, will fully prepare you to pass the Google Cloud Platform Professional Cloud Architect exam. The course is a complete educational resource to help you upgrade the skills you need to pass the exam. It covers all topics of the exam and teaches you how to design a robust cloud solution architecture on the Google Cloud platform. Using targeted demos, sample exam question analysis, and sample case study reviews, instructor, author, and cloud expert Victor Dantas will ensure you’re fully prepared for the exam. This course covers the following:

Ensuring the reliability of the solution and operation
Design for security and compliance
Management and provision of cloud solution infrastructure
Analysis and optimization of technical and business processes with Google Cloud

Additionally, you’ll learn best practices for successful deployments and how to design network, storage, and compute resources.

What you will learn:

Design and planning of cloud solution architecture
Management and provision of solution infrastructure
Design for security and compliance
Analysis and optimization of technical and commercial processes
Implementation management
Ensuring the reliability of the solution and operation

This course is suitable for people who:

IT professionals with at least 3 years of industry experience, plus at least one year of experience designing and managing solutions using Google Cloud
Cloud or Solution Architects without experience with Google Cloud but with experience in other cloud platforms
Cloud engineers looking to deepen their skills in designing Google Cloud solutions

Course details

Publisher: Oreilly
Instructor: Victor Dantas
Training level: beginner to advanced
Training duration: 10 hours 5 minutes

Course headings

Introduction
1. Google Cloud Platform Professional Cloud Architect: Introduction
Module 1: Professional Cloud Architect Certification overview
1. Module introduction
Lesson 1: Exam Overview
1. Learning objectives
2. 1.1 Exam Guide
3. 1.2 Exam Case Study: Medical Software
4. 1.3 Exam Case Study: Live Streaming with Predictive Modeling
5. 1.4 Exam Case Study: Industrial IoT
6. 1.5 Exam Case Study: Mobile Gaming Platforms
Module 2: Designing and planning a cloud solution architecture
1. Module introduction
Lesson 2: Designing a solution infrastructure that meets business requirements
1. Learning objectives
2. 2.1 Business use cases and strategies
3. 2.2 Success measurements
4. 2.3 Design decision trade-offs
5. 2.4 Build, buy, modify, or deprecate
6. 2.5 Integration with external systems
7. 2.6 Movement of data
8. 2.7 Supporting the application design
9. 2.8 Cost optimization
10. 2.9 Compliance on GCP
11. 2.10 Questions breakdown
Lesson 3: Designing a solution infrastructure that meets technical requirements
1. Learning objectives
2. 3.1 Designing for high availability and failover
3. 3.2 Case Study: Designing for high availability and failover
4. 3.3 Elasticity of cloud resources, quotas and limits
5. 3.4 Designing for scalability to meet growth requirements
6. 3.5 Designing for performance
7. 3.6 Case Study: Designing for scalability
8. 3.7 Questions breakdown
Lesson 4: Designing network, storage, and compute resources
1. Learning objectives
2. 4.1 Integration with on-premises
3. 4.2 Multicloud environments
4. 4.3 Case Study: Integration with on-premises
5. 4.4 Cloud-native networking
6. 4.5 Choosing data processing technologies
7. 4.6 Choosing appropriate storage types
8. 4.7 Choosing compute resources
9. 4.8 Mapping compute needs to platform products
10. 4.9 Questions breakdown
Lesson 5: Creating a migration plan
1. Learning objectives
2. 5.1 Integrating solutions with existing systems
3. 5.2 Migrating systems and data
4. 5.3 Software license mapping
5. 5.4 Network planning
6. 5.5 Testing and proofs of concept
7. 5.6 Dependency management
8. 5.7 Envisioning future solution improvements
9. 5.8 Questions breakdown
Module 3: Managing and provisioning a solution infrastructure
1. Module introduction
Lesson 6: Configuring network topologies
1. Learning objectives
2. 6.1 Hybrid and multicloud networking
3. 6.2 Securing networks
4. 6.3 Demo: Securing networks
5. 6.4 Common network topologies
6. 6.5 Lab: configuring and securing a network
7. 6.6 Questions breakdown
Lesson 7: Configuring storage systems
1. Learning objectives
2. 7.1 Data storage allocation
3. 7.2 Data processing and compute provisioning
4. 7.3 Demo: Data processing and compute provisioning
5. 7.4 Data security and access management
6. 7.5 Network configuration for data transfer and latency
7. 7.6 Data retention and data lifecycle management
8. 7.7 Demo: Data retention and data lifecycle management
9. 7.8 Data growth planning
10. 7.9 Questions breakdown
Lesson 8: Configuring compute systems
1. Learning objectives
2. 8.1 Compute resource provisioning
3. 8.2 Compute volatility configuration
4. 8.3 Demo: Configuring preemptible instances
5. 8.4 Network configuration for compute resources
6. 8.5 Compute infrastructure orchestration
7. 8.6 Resource configuration and patch management
8. 8.7 Container orchestration with Kubernetes (part 1)
9. 8.8 Container orchestration with Kubernetes (part 2)
10. 8.9 Lab: Container orchestration with Kubernetes
11. 8.10 Questions breakdown
Module 4: Designing for security and compliance
1. Module introduction
Lesson 9: Designing for security
1. Learning objectives
2. 9.1 Identity and Access Management (IAM)
3. 9.2 Resource hierarchy on GCP
4. 9.3 Data security at rest
5. 9.4 Data security in transit
6. 9.5 Case Study: Data security in transit
7. 9.6 Separation of Duties (SoD)
8. 9.7 Security controls
9. 9.8 Managing your own encryption keys
10. 9.9 Remote access
11. 9.10 Questions breakdown
Lesson 10: Designing for compliance
1. Learning objectives
2. 10.1 Legislation considerations
3. 10.2 Commercial considerations
4. 10.3 Industry certifications
5. 10.4 Audits and logs
6. 10.5 Questions breakdown
Module 5: Analyzing and optimizing technical and business processes
1. Module introduction
Lesson 11: Analyzing and defining technical processes
1. Learning objectives
2. 11.1 Software development life cycle (SDLC)
3. 11.2 Continuous integration / continuous deployment (CI/CD)
4. 11.3 Troubleshooting root cause analysis best practices
5. 11.4 Testing and validation of software and infrastructure
6. 11.5 Service catalog and provisioning
7. 11.6 Business continuity and disaster recovery
8. 11.7 Case study: Infrastructure-as-Code
9. 11.8 Questions breakdown
Lesson 12: Analyzing and defining business processes
1. Learning objectives
2. 12.1 Stakeholder management
3. 12.2 Change management
4. 12.3 Team assessment and skills readiness
5. 12.4 Decision-making processes
6. 12.5 Customer success management
7. 12.6 Cost and resource optimization
8. 12.7 Developing procedures to ensure reliability of solutions
9. 12.8 Questions breakdown
Module 6: Managing implementation
1. Module introduction
Lesson 13: Best practices for successful deployments
1. Learning objectives
2. 13.1 Application development
3. 13.2 API best practices
4. 13.3 Case study: API design
5. 13.4 Testing frameworks
6. 13.5 Migration and management tooling
7. 13.6 Interacting with Google Cloud programmatically
8. 13.7 Demo: Interacting with Google Cloud programmatically
9. 13.8 Questions breakdown
Module 7: Ensuring solution and operations reliability
1. Module introduction
Lesson 14: Monitoring, logging, profiling, and alerting
1. Learning objectives
2. 14.1 Monitoring infrastructure and applications
3. 14.2 Logging
4. 14.3 Demo: Monitoring charts and dashboards
5. 14.4 Debugging applications
6. 14.5 Profiling applications
7. 14.6 Monitoring alerts and incidence response
8. 14.7 Lab: Monitoring alerts
9. 14.8 Questions breakdown
Lesson 15: Deployment and release management
1. Learning objectives
2. 15.1 Automating infrastructure and application deployments
3. 15.2 Demo: Automating infrastructure deployment
4. 15.3 Testing and validating deployments
5. 15.4 Assisting with the support of deployed solutions
6. 15.5 Lab: Automating application deployment
7. 15.6 Questions breakdown
Summary
1. Google Cloud Platform Professional Cloud Architect: Summary

Course prerequisites

Knowledge of cloud infrastructure foundations: storage, compute, databases, networking, and security.
Basic familiarity with the Google Cloud Platform.
Foundational system design knowledge.
Basic proficiency in one programming language, although not required, is recommended.