Google Certified Professional - Cloud Architect (GCP) : Professional-Cloud-Architect Exam

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Introduction to Google Professional Cloud Architect Exam

Google Professional Cloud Architect Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.

After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Architect to their clients and employers.

Recommended Experience

Officially, there are no prerequisites to be fulfilled before taking-up the Google Professional Cloud Architect exam. Anyone who wants to polish their knowledge of Google Cloud and aim at an architect role can apply for it.

However, it is recommended to have a minimum of 3+ years of industry experience before anyone enrolls in the test. These should also include 1+ years of experience in designing solutions as well as managing them using GCP. Such a base will make the exam journey a bit more simplified.

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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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Industry certifications (e.g., SOC 2)
• Audits (including logs)
• 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

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

Analyzing and defining business processes. Considerations include:

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

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
• Application development
• API best practices
• 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

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

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

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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.

Google Professional-Cloud-Architect Exam Syllabus Topics: