Oreilly – Google Cloud Platform Professional Cloud Architect 2023-1 – Download

Description

Google Cloud Platform professional cloud architect course. This comprehensive 10+ hour video course will fully prepare you to take the Google Cloud Platform Professional Cloud Architect exam. The course is a comprehensive educational resource that will help you improve the skills you need to pass the exam. It covers all exam topics and teaches you how to design a robust cloud solution architecture on the Google Cloud platform. Using targeted demonstrations, exam question analysis examples, and case study review examples, teacher, author, and cloud expert Victor Dantas ensures you’re fully prepared for the exam. This course covers the following:

  • Ensuring the reliability of the solution and operation
  • Design with safety and compliance in mind
  • Management and provision of cloud solutions infrastructure
  • Analysis and optimization of technical and business processes using Google Cloud

In addition, you will learn best practices for successful deployment and how to design network, storage, and compute resources.

What you will learn:

  • Cloud solution architecture design and planning
  • Management and provision of solution infrastructure
  • Design with safety and compliance in mind
  • 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 and at least one year of experience developing and managing solutions using Google Cloud.
  • Cloud or solution architects without Google Cloud experience, but with experience in other cloud platforms.
  • Cloud engineers looking to deepen their skills in developing Google Cloud solutions

Course details

  • Publisher: Oreily
  • Instructor: Victor Dantes
  • Level of training: from beginner to advanced
  • Duration of training: 10 hours 5 minutes

Course headings

  • Introduction
    1. Google Cloud Platform Professional Cloud Architect: Introduction
  • Module 1: Overview of the Professional Cloud Architect Certification
    1. module introduction
  • Lesson 1: Exam Review
    1. Learning Objectives
    2. 1.1 Exam Guide
    3. 1.2 Sample Exam: Medical Software
    4. 1.3 Exam Example: Live Streaming with Predictive Modeling
    5. 1.4 Example exam: Industrial Internet of Things
    6. 1.5 Exam Example: Mobile Gaming Platforms
  • Module 2: Designing and planning a cloud solution architecture.
    1. module introduction
  • Lesson 2: Designing a Solution Infrastructure to Meet Business Requirements
    1. Learning Objectives
    2. 2.1 Business scenarios and strategies
    3. 2.2 Measurements of success
    4. 2.3 Design trade-offs
    5. 2.4 Creation, purchase, modification or discontinuation
    6. 2.5 Integration with external systems
    7. 2.6 Data movement
    8. 2.7 Application design support
    9. 2.8 Cost optimization
    10. 2.9 GCP compliance
    11. 2.10 Question breakdown
  • Lesson 3: Designing a Solution Infrastructure to Meet Technical Requirements
    1. Learning Objectives
    2. 3.1 Design 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 Design for scalability to meet growth needs
    6. 3.5 Design for performance
    7. 3.6 Case Study: Design for Scalability
    8. 3.7 Question breakdown
  • Lesson 4: Designing Network, Storage, and Compute Resources
    1. Learning Objectives
    2. 4.1 Integration with local systems
    3. 4.2 Multi-cloud environments
    4. 4.3 Case Study: Integration with On-Premises Systems
    5. 4.4 Cloud network
    6. 4.5 Selection of data processing technologies
    7. 4.6 Selecting suitable storage types
    8. 4.7 Selecting computing resources
    9. 4.8 Matching computing needs to platform products
    10. 4.9 Question breakdown
  • Lesson 5: Creating a Migration Plan
    1. Learning Objectives
    2. 5.1 Integration of solutions with existing systems
    3. 5.2 Migration of systems and data
    4. 5.3 Software license mapping
    5. 5.4 Network planning
    6. 5.5 Testing and proof of concept
    7. 5.6 Dependency management
    8. 5.7 Planning for future improvements to the solution
    9. 5.8 Question breakdown
  • Module 3: Managing and Providing Solution Infrastructure.
    1. module introduction
  • Lesson 6. Setting up a network topology
    1. Learning Objectives
    2. 6.1 Hybrid and multi-cloud networks
    3. 6.2 Network protection
    4. 6.3 Demo: Securing Networks
    5. 6.4 General network topologies
    6. 6.5 Lab: Network Configuration and Security
    7. 6.6 Question breakdown
  • Lesson 7: Setting up storage systems
    1. Learning Objectives
    2. 7.1 Data storage distribution
    3. 7.2 Data processing and provisioning of computing resources
    4. 7.3 Demonstration: Data Processing and Computing Provision
    5. 7.4 Data security and access control
    6. 7.5 Network configuration for data transmission and latency
    7. 7.6 Data storage and data lifecycle management
    8. 7.7 Demo: Data Storage and Data Lifecycle Management
    9. 7.8 Planning for data growth
    10. 7.9 Question breakdown
  • Lesson 8: Setting up computing systems
    1. Learning Objectives
    2. 8.1 Provision of computing resources
    3. 8.2. Volatility calculation configuration
    4. 8.3 Demo: Configuring Preemptible Instances
    5. 8.4 Network configuration for computing resources
    6. 8.5 Orchestration of computing infrastructure
    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 Question breakdown
  • Module 4: Design for Safety and Compliance
    1. module introduction
  • Lesson 9: Design for Safety
    1. Learning Objectives
    2. 9.1 Identity and Access Management (IAM)
    3. 9.2 Resource Hierarchy in GCP
    4. 9.3 Security of stored data
    5. 9.4 Data security during transportation
    6. 9.5 Case Study: Data Security in Transmission
    7. 9.6 Segregation of duties (SoD)
    8. 9.7 Security controls
    9. 9.8 Managing your own encryption keys
    10. 9.9 Remote access
    11. 9.10 Question breakdown
  • Lesson 10: Design for Requirements
    1. Learning Objectives
    2. 10.1 Legislative considerations
    3. 10.2 Commercial considerations
    4. 10.3 Industry certifications
    5. 10.4 Audit and logs
    6. 10.5 Question breakdown
  • Module 5: Analysis and optimization of technical and business processes.
    1. module introduction
  • Lesson 11: Analysis and Definition of 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 Best Practices for Root Cause Analysis and Troubleshooting
    5. 11.4 Software and infrastructure testing and verification
    6. 11.5 Service catalog and provision of services
    7. 11.6 Business continuity and disaster recovery
    8. 11.7 Case Study: Infrastructure as Code
    9. 11.8 Question 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 skill readiness
    5. 12.4 Decision-making processes
    6. 12.5 Customer Success Management
    7. 12.6 Optimization of costs and resources
    8. 12.7 Development of procedures to ensure the reliability of solutions
    9. 12.8 Question breakdown
  • Module 6: Implementation Management
    1. module introduction
  • Lesson 13: Best Practices for Successful Deployment
    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 platforms
    6. 13.5 Migration and management tools
    7. 13.6 Programmatic interaction with Google Cloud
    8. 13.7 Demo: Programmatic interaction with Google Cloud
    9. 13.8 Question breakdown
  • Module 7: Ensuring Trust in Decisions and Operations
    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 Application profiling
    7. 14.6 Monitoring alerts and responding to incidents
    8. 14.7 Lab: Monitoring Alerts
    9. 14.8 Question breakdown
  • Lesson 15: Managing Deployment and Release
    1. Learning Objectives
    2. 15.1 Automate infrastructure and application deployment
    3. 15.2 Demo: Automating Infrastructure Deployment
    4. 15.3 Testing and validating deployments
    5. 15.4 Help support deployed solutions
    6. 15.5 Lab: Automating Application Deployment.
    7. 15.6 Question breakdown
  • Summary
    1. Google Cloud Platform Professional Cloud Architect: Resume

Course Prerequisites

  • Knowledge of cloud infrastructure fundamentals: storage, compute, databases, networking, and security.
  • Basic familiarity with Google Cloud Platform.
  • Basic knowledge of systems engineering.
  • Basic knowledge of one programming language is recommended, although not required.

Google Cloud Platform Professional Cloud Architect Course Images

Example video course

installation instructions

Once extracted, watch using your favorite player.

English subtitles

Quality: 720p

Download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 197 MB

Password for file(s): www.downloadly.ir

size

2.1 GB

free download software latest version