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How to Prepare For Google Professional Cloud Architect Exam

Preparation Guide for Google Professional Cloud Architect Exam

Introduction

Google has designed a track for IT professionals to endorse as a cloud architect on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using industry standard methodology to conclude whether or not a aspirant meets Google's proficiency standards.

According to Google, a Google Certified Professional Cloud Architect facilitate organizations to influence 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.

Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work on Google Professional Cloud Architect and prove his knowledge, Certification offered by Google. This Google Professional Cloud Architect Certification helps a candidate to validates his skills in Google Professional Cloud Architect Technology.

In this guide, we will cover the Google Professional Cloud Architect Exam, Google Professional Cloud Architect Certified Professionals salary and all aspects of the Google Professional Cloud Architect Certification.

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Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions

The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.

Google Professional-Cloud-Architect日本語 Exam Syllabus Topics:

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• Audits (including logs)
• Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
• Industry certifications (e.g., SOC 2)
• 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
• Troubleshooting / post mortem analysis culture
• Business continuity and disaster recovery
• Continuous integration / continuous deployment
• Software development life cycle plan (SDLC)
• Service catalog and provisioning

Analyzing and defining business processes. Considerations include:

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

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
• Testing frameworks (load/unit/integration)
• API best practices

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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