Google Certified Professional - Cloud Architect

Learn Google Public cloud services

Best Google Certified Professional - Cloud Architect training in Pune, Pimpri Chinchwad

Google Certified Professional - Cloud Architect trainng introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud platform. Through an understanding of cloud architecture and Google technology, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, and Google Container Engine.

This training will help you prepare and pass the Google Cloud certification exam. You are able 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

Prerequisites/Candidate profile

  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
  • Recommended training for experienced system administrators, IT admin professionals, solution providers/architects, team leaders, IT operation managers or senior IT decision makers.
We are covering the official syllabus for Google Certified Professional - Cloud Architect in this training.

    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-premise (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

After completing this training, you can appear for Google Certified Professional - Cloud Architect.

Exam details:

  • Pricing: $200
  • Time: 120 minutes
  • Passing: Google only provide pass or fail information. Google says: The actual passing criteria are based on the judgement of subject matter experts and statistical analysis and may change when content changes.
  • Google certification exams must be taken in-person at a Kryterion Testing Center

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