Google Cloud Platform Professional Cloud Architect

Google Cloud Platform Professional Cloud Architect

by Victor Dantas
Released February 2023
Publisher(s): Pearson
ISBN: 0138041105

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Video description

10+ Hours of Video Instruction

10+ hours of deep-dive video training designed to get you fully prepared to pass the Google Cloud Platform Professional Cloud Architect exam

Get the knowledge you need to pass the Google Cloud Platform Professional Cloud Architect exam in this all-new video course. This course is a complete study resource to help you build the skills you need as you work your way through the course. Explore every exam objective on the Professional Cloud Architect exam and learn how to design a robust cloud solution architecture on the Google Cloud Platform. Trainer, author, and cloud expert Victor Dantas uses targeted demos, sample exam question breakdowns, and sample case study reviews to ensure you are fully prepared for the exam.

The Google Cloud Platform Professional Cloud Architect Complete Video Course does a deep dive into ensuring solution and operations reliability, designing for security and compliance, managing and provisioning the cloud solution infrastructure, and analyzing and optimizing technical and business processes with Google Cloud. You will also learn best practices for successful deployments and how to design network, storage, and compute resources.

Topics include

  • Module 1: Professional Cloud Architect Certification overview
  • Module 2: Designing and planning a cloud solution architecture
  • Module 3: Managing and provisioning a solution infrastructure
  • Module 4: Designing for security and compliance
  • Module 5: Analyzing and optimizing technical and business processes
  • Module 6: Managing implementation
  • Module 7: Ensuring solution and operations reliability

About the Instructor

Victor Dantas has a PhD in Software-Defined Networking (SDN) and cloud systems, and is currently a Sr. Cloud Solutions Architect. He has professional cloud certifications from Google Cloud, Azure, and AWS. With a background ranging from software development and systems engineering to technology consulting, he has accumulated experience in software engineering, cloud migrations, hybrid cloud infrastructure, cloud solutions architecture, and Agile/DevOps practices working with organizations of all sizes. Victor also writes practical guides and labs on cloud computing and is the author of Architecting Google Cloud Solutions (Packt, 2021). Beyond cloud, his interests include Big Data, AI/Machine Learning and Internet-of-Things (IoT).

Skill Level

  • Intermediate
  • Advanced

Learn How To

  • Design and plan a cloud solution architecture
  • Manage and provision a solution infrastructure
  • Design for security and compliance
  • Analyze and optimize technical and business processes
  • Manage implementation
  • Ensure solution and operations reliability

Who Should Take This Course

  • IT professionals with 3+ years of experience in the industry including 1+ years designing and managing solutions using Google Cloud.
  • Cloud or Solutions Architects without experience with Google Cloud but experienced in other cloud platforms may also take this course.
  • Cloud engineers looking to deepen their skills in architecting google cloud solutions will also benefit from this course.

Course Requirements

  • 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.

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.

Table of contents

  1. Introduction
    1. Google Cloud Platform Professional Cloud Architect: Introduction
  2. Module 1: Professional Cloud Architect Certification overview
    1. Module introduction
  3. 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
  4. Module 2: Designing and planning a cloud solution architecture
    1. Module introduction
  5. 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
  6. 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
  7. 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
  8. 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
  9. Module 3: Managing and provisioning a solution infrastructure
    1. Module introduction
  10. 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
  11. 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
  12. 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
  13. Module 4: Designing for security and compliance
    1. Module introduction
  14. 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
  15. 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
  16. Module 5: Analyzing and optimizing technical and business processes
    1. Module introduction
  17. 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
  18. 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
  19. Module 6: Managing implementation
    1. Module introduction
  20. 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
  21. Module 7: Ensuring solution and operations reliability
    1. Module introduction
  22. 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
  23. 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
  24. Summary
    1. Google Cloud Platform Professional Cloud Architect: Summary

Product information

  • Title: Google Cloud Platform Professional Cloud Architect
  • Author(s): Victor Dantas
  • Release date: February 2023
  • Publisher(s): Pearson
  • ISBN: 0138041105