Google Cloud Certified - Professional Cloud Architect

  • Brand: Google Cloud
  • Product Code: google-pro-architect
  • Availability: In Stock
  • 350.00€


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Google Cloud Certified - Professional Cloud Architect



Course Format: online or classroom instructor lead training

Language: Bulgarian (English optional)

Course Files: digital format, price included in the course

Lab environment: individual lab env. for each student.

Course Duration40 learning hours online training (theory and practice).

100% MoneyBack Gurantee Customer Satisfaction for this training. For more information check our customer satisfaction policy.

Additional Information about the training content can be found on our web site - http://www.it-training.pro The ONline Training Academy

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Training Dates: please check the IT Training Calendar in the main site. 

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A Professional Cloud Architect enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to:

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

Course Outline:

Section 1: Designing and planning a cloud solution architecture

1.1 Designing a solution infrastructure that meets business requirements. Considerations include:

  • business use cases and product strategy
  • cost optimization
  • supporting the application design
  • integration
  • movement of data
  • tradeoffs
  • build, buy or modify
  • success measurements (e.g., Key Performance Indicators (KPI), Return on Investment (ROI), metrics)

1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:

  • high availability and failover design
  • elasticity of cloud resources
  • scalability to meet growth requirements

1.3 Designing network, storage, and compute resources. Considerations include:

  • integration with on premises/multi-cloud environments
  • identification of data storage needs and mapping to storage systems
  • data flow diagrams
  • storage system structure (e.g., Object, File, RDBMS, NoSQL, New SQL)
  • mapping compute needs to platform products

1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:

  • integrating solution with existing systems
  • migrating systems and data to support the solution
  • licensing mapping
  • network and management planning
  • testing and proof-of-concept

1.5 Envisioning future solution improvements. Considerations include:

  • cloud and technology improvements
  • business needs evolution
  • evangelism and advocacy

Section 2: Managing and provisioning solution Infrastructure

2.1 Configuring network topologies. Considerations include:

  • extending to on-premises (hybrid networking)
  • extending to a multi-cloud environment
  • security
  • data protection

2.2 Configuring individual storage systems. Considerations include:

  • data storage allocation
  • data processing/compute provisioning
  • security and access management
  • network configuration for data transfer and latency
  • data retention and data lifecycle management
  • data growth management

2.3 Configuring compute systems. Considerations include:

  • compute system provisioning
  • compute volatility configuration (preemptible vs. standard)
  • network configuration for compute nodes
  • orchestration technology configuration (e.g. Chef/Puppet/Kubernetes)

Section 3: Designing for security and compliance

3.1 Designing for security. Considerations include:

  • Identity and Access Management (IAM)
  • data security
  • penetration testing
  • Separation of Duties (SoD)
  • security controls

3.2 Designing for legal compliance. Considerations include:

  • legislation (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s Online Privacy Protection Act (COPPA), etc.)
  • audits
  • certification (e.g., Information Technology Infrastructure Library (ITIL) framework)

Section 4: Analyzing and optimizing technical and business processes

4.1 Analyzing and defining technical processes. Considerations include:

  • Software Development Lifecycle Plan (SDLC)
  • continuous integration / continuous deployment
  • troubleshooting / post mortem analysis culture
  • testing and validation
  • IT enterprise process (e.g. ITIL)
  • business continuity and disaster recovery

4.2 Analyzing and defining business processes. Considerations include:

  • stakeholder management (e.g. Influencing and facilitation)
  • change management
  • decision making process
  • customer success management

4.3 Developing procedures to test resilience of solution in production (e.g., DiRT and Chaos Monkey)

Section 5: Managing implementation

5.1 Advising development/operation team(s) to ensure successful deployment of the solution. Considerations include:

  • application development
  • API best practices
  • testing frameworks (load/unit/integration)
  • data and system migration tooling

5.2 Reading and writing application development languages. At a minimum, languages include:

  • Java
  • Python

Section 6: Ensuring solution and operations reliability

6.1 Monitoring/Logging/Alerting solution

6.2 Deployment and release management

6.3 Supporting operational troubleshooting

6.4 Evaluating quality control measures

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