Google Cloud Platform Professional Cloud Architect

Google Cloud Platform Professional Cloud Architect

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 141 Lessons (10h 50m) | 2.35 GB

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

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
Table of Contents

Introduction
Google Cloud Platform Professional Cloud Architect Introduction

Lesson 1 Exam Overview
Learning objectives
Exam Guide
Exam Case Study Medical Software
Exam Case Study Live Streaming with Predictive Modeling
Exam Case Study Industrial IoT
Exam Case Study Mobile Gaming Platforms

Lesson 2 Designing a solution infrastructure that meets business requirements
Learning objectives
Business use cases and strategies
Success measurements
Design decision trade-offs
Build, buy, modify, or deprecate
Integration with external systems
Movement of data
Supporting the application design
Cost optimization
Compliance on GCP
Questions breakdown

Lesson 3 Designing a solution infrastructure that meets technical requirements
Learning objectives
Designing for high availability and failover
Case Study Designing for high availability and failover
Elasticity of cloud resources, quotas and limits
Designing for scalability to meet growth requirements
Designing for performance
Case Study Designing for scalability
Questions breakdown

Lesson 4 Designing network, storage, and compute resources
Learning objectives
Integration with on-premises
Multicloud environments
Case Study Integration with on-premises
Cloud-native networking
Choosing data processing technologies
Choosing appropriate storage types
Choosing compute resources
Mapping compute needs to platform products
Questions breakdown

Lesson 5 Creating a migration plan
Learning objectives
Integrating solutions with existing systems
Migrating systems and data
Software license mapping
Network planning
Testing and proofs of concept
Dependency management
Envisioning future solution improvements
Questions breakdown

Lesson 6 Configuring network topologies
Learning objectives
Hybrid and multicloud networking
Securing networks
Demo Securing networks
Common network topologies
Lab configuring and securing a network
Questions breakdown

Lesson 7 Configuring storage systems
Learning objectives
Data storage allocation
Data processing and compute provisioning
Demo Data processing and compute provisioning
Data security and access management
Network configuration for data transfer and latency
Data retention and data lifecycle management
Demo Data retention and data lifecycle management
Data growth planning
Questions breakdown

Lesson 8 Configuring compute systems
Learning objectives
Compute resource provisioning
Compute volatility configuration
Demo Configuring preemptible instances
Network configuration for compute resources
Compute infrastructure orchestration
Resource configuration and patch management
Container orchestration with Kubernetes (part 1)
Container orchestration with Kubernetes (part 2)
Lab Container orchestration with Kubernetes
Questions breakdown

Lesson 9 Designing for security
Learning objectives
Identity and Access Management (IAM)
Resource hierarchy on GCP
Data security at rest
Data security in transit
Case Study Data security in transit
Separation of Duties (SoD)
Security controls
Managing your own encryption keys
Remote access
Questions breakdown

Lesson 10 Designing for compliance
Learning objectives
Legislation considerations
Commercial considerations
Industry certifications
Audits and logs
Questions breakdown

Lesson 11 Analyzing and defining technical processes
Learning objectives
Software development life cycle (SDLC)
Continuous integration continuous deployment (CICD)
Troubleshooting root cause analysis best practices
Testing and validation of software and infrastructure
Service catalog and provisioning
Business continuity and disaster recovery
Case study Infrastructure-as-Code
Questions breakdown

Lesson 12 Analyzing and defining business processes
Learning objectives
Stakeholder management
Change management
Team assessment and skills readiness
Decision-making processes
Customer success management
Cost and resource optimization
Developing procedures to ensure reliability of solutions
Questions breakdown

Lesson 13 Best practices for successful deployments
Learning objectives
Application development
API best practices
Case study API design
Testing frameworks
Migration and management tooling
Interacting with Google Cloud programmatically
Demo Interacting with Google Cloud programmatically
Questions breakdown

Lesson 14 Monitoring, logging, profiling, and alerting
Learning objectives
Monitoring infrastructure and applications
Logging
Demo Monitoring charts and dashboards
Debugging applications
Profiling applications
Monitoring alerts and incidence response
Lab Monitoring alerts
Questions breakdown

Lesson 15 Deployment and release management
Learning objectives
Automating infrastructure and application deployments
Demo Automating infrastructure deployment
Testing and validating deployments
Assisting with the support of deployed solutions
Lab Automating application deployment
Questions breakdown

Module 1 Professional Cloud Architect Certification overview
Module introduction

Module 2 Designing and planning a cloud solution architecture
Module introduction

Module 3 Managing and provisioning a solution infrastructure
Module introduction

Module 4 Designing for security and compliance
Module introduction

Module 5 Analyzing and optimizing technical and business processes
Module introduction

Module 6 Managing implementation
Module introduction

Module 7 Ensuring solution and operations reliability
Module introduction

Summary
Google Cloud Platform Professional Cloud Architect Summary

Homepage