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Managing Implementation

• Advice development and operation team to ensure the successful deployment of solutions: the areas of focus include application development; AIP best practices; data and system migration tool; testing framework;
• Interact with Google Cloud with the use of GCP SDK: this requires the test takers’ understanding of Google Cloud Shell and local installation.

Exam Domains Overview

The entire syllabus is based on six domains and each tries to educate the learner about various Google Cloud technologies. They are disclosed below in detail:

Section #1. Designing and strategy-making for the Cloud Solution Architecture

Designing a Google Cloud solution as per business and technical needs, handling the cost optimization, data movement, observability, and compliance are some of the most talked-about topics under this module.

The applicants should also demonstrate their expertise regarding the concepts like architecting the storage, network, and compute solutions or resources, multi-cloud or on-premises integration, and fulfilling & monitoring the compute needs of the platform products, picking-up right data processing and related technologies.

Reference: https://cloud.google.com/certification/cloud-architect

Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

• Build, buy or modify
• Integration with external systems
• Cost optimization
• Supporting the application design
• Business use cases and product strategy
• Movement of data
• Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
• Design decision trade-offs
• Compliance and observability

Technical requirements considerations

• Elasticity of cloud resources
• Performance and latency
• High availability and failover design
• Scalability to meet growth requirements

Network, Storage, and Compute resources Considerations

• Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
• Integration with on- premises/multi- cloud environments
• Mapping compute needs to platform products
• Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
• Choosing data processing technologies
• Cloud-native networking (VPC, peering, firewalls, container networking)

Creating a migration plan

• Testing and proof of concept
• Licensing mapping
• Dependency management planning
• Integrating solution with existing systems
• Network planning
• Migrating systems and data to support the solution

Envisioning future solution improvements

• Evangelism and advocacy
• Cloud and technology improvements
• Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

• Extending to on-premises (hybrid networking)
• Security and data protection
• Extending to a multi-cloud environment that may include GCP to GCP communication

Configuring individual storage systems

• Data growth management
• Data retention and data life cycle management
• Network configuration for data transfer and latency
• Security and access management
• Data processing/compute provisioning
• Data storage allocation

Configuring compute systems

• Container orchestration with Kubernetes
• Compute system provisioning
• Compute volatility configuration (preemptible vs. standard)
• Network configuration for compute nodes
• Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)

3. Designing for security and compliance

Security considerations

• Managing customer- managed encryption keys with Cloud KMS
• Separation of duties (SoD)
• Penetration testing
• Resource hierarchy (organizations, folders, projects)
• Data security (key management, encryption)
• Identity and access management (IAM)
• Security controls (e.g., auditing, VPC Service Controls organization policy)

compliance Considerations

• Industry certifications (e.g., SOC 2)
• Audits (including logs)
• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

• Testing and validation
• Service catalog and provisioning
• Troubleshooting / post mortem analysis culture
• Business continuity and disaster recovery
• Software development life cycle plan (SDLC)
• Continuous integration / continuous deployment

Analyzing and defining business processes. Considerations include:

• Cost optimization / resource optimization (capex / opex)
• Stakeholder management (e.g. influencing and facilitation)
• Decision- making process
• Customer success management
• Team assessment / skills readiness
• Change management

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

• Data and system migration tooling
• API best practices
• Application development
• Testing frameworks (load/unit/integration)

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

• Assisting with the support of solutions in operation
• Evaluating quality control measures
• Deployment and release management
• Monitoring/logging/profiling/alerting solution

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