Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect日本語版) : Professional-Cloud-Architect日本語

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What is the duration, language, and format of Google Professional Cloud Architect Exam

• Number of Questions: 50-60
• Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
• Passing score: 80%
• Length of Examination: 120 minutes
• Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP
• Format: Multiple choices, multiple answers

The benefit of obtaining the Google Professional Cloud Architect Exam Certification

• Google Professional Cloud Architect Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
• Google Professional Cloud Architect Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
• Google Professional Cloud Architect Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
• Google Professional Cloud Architect certification has more useful and relevant networks that help them in setting career goals for themselves. Google Professional Cloud Architect networks provide them with the correct career guidance than non certified generally are unable to get.
• Google Professional Cloud Architect will be confident and stand different from others as their skills are more trained than non-certified professionals.
• Google Professional Cloud Architect Certification is distinguished among competitors. Google Professional Cloud Architect certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.

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Then, candidates can use different books, like the following:

• The Ultimate Guide for Beginners [Google Cloud Platform] by Adney Ainsley
• Google Cloud Certified Professional Cloud Architect (3rd Edition) by Soumen Chatterjee
• Professional Cloud Architect – Google Cloud Certification Guide written by Konrad Clapa & Brian Gerrard

All of them are available on Amazon and throw light on major Google Cloud concepts. They allow one to not just learn all the topics but also understand how to solve real-world tasks related to the implementation of GCP. Various scenarios explained and questions for self-assessment are included too.

To familiarize the applicants with daily issues the professionals face in the workplace, the vendor has provided some detailed case studies to refer to. These relate to Mountkirk Games, Dress4Win, and TerramEarth. Finally, one can join an on-demand webinar “Architecting Hybrid Cloud Infrastructure with Anthos” that provides valuable exam tips.

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

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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

Envisioning future solution improvements

• Business needs evolution
• Cloud and technology improvements
• 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 growth management
• Network configuration for data transfer and latency
• Data processing/compute provisioning
• Data storage allocation
• Data retention and data life cycle management
• Security and access management

Configuring compute systems

• Compute system provisioning
• Container orchestration with Kubernetes
• Network configuration for compute nodes
• 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

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

compliance Considerations

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

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

• Customer success management
• Decision- making process
• Cost optimization / resource optimization (capex / opex)
• Change management
• Team assessment / skills readiness
• 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

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

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

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

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