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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.

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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

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

Technical requirements considerations

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

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

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

Envisioning future solution improvements

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

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

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

Configuring individual storage systems

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

Configuring compute systems

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

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

• Change management
• Decision- making process
• Team assessment / skills readiness
• 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

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

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

• Local installation
• Google Cloud Shell

6. Ensuring solution and operations reliability

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

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Managing & Provisioning Solution Infrastructures

• Configure compute systems: you should understand system provisioning; compute volatility configuration; container orchestration using Kubernetes; technology configuration for infrastructure provisioning; network configuration for the compute nodes.
• Configure individual storage systems: the areas of focus should include data storage allocation; access management and security; data processing and compute provisioning; data lifecycle management and data retention; network configuration for the data latency and transfer;
• Configure network topologies: the examinees should have the ability to extend to hybrid and on-premises networking and multi-Cloud environment that may entail GCP to GCP communication. It also requires their understanding of data protection and security;

Google Professional Cloud Architect Prerequisites

There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.

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

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