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

Technical requirements considerations

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

Network, Storage, and Compute resources Considerations

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

Creating a migration plan

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

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

Configuring individual storage systems

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

Configuring compute systems

• 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
• Container orchestration with Kubernetes

3. Designing for security and compliance

Security considerations

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

compliance Considerations

• 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)
• Industry certifications (e.g., SOC 2)
• Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

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

Analyzing and defining business processes. Considerations include:

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

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

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

• Google Cloud Shell
• Local installation

6. Ensuring solution and operations reliability

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

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

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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Analyzing & Optimizing Business and Technical Processes

• Analyze and define technical processes: this area will require skills in testing and validation; software development lifecycle plan; troubleshooting and post mortem analysis culture; continuous deployment and continuous integration; service catalog and provisioning; disaster recovery and business continuity;
• Analyze and define business processes: this entails stakeholder management (facilitation and influencing); decision-making process; change management; skill readiness and team assessment; cost optimization and resource optimization; customer success management; procedure development to ensure the resilience of solutions with production.

What Are Topics Covered by Google Professional Cloud Architect?

To increase your chances of success in this certification exam, you need to master its topics beforehand. This test covers six domains:

• Developing & Planning Cloud Solution Infrastructure

The Google Professional Cloud Architect exam is premised on issues to do with developing solution architectures that comply with business demands. The considerations included here are such as business use scenarios as well as product strategy, cost optimization, data movement, success measurements, and compliance with observability. It also scrutinizes how to develop infrastructure that complies with technical specifications. This is where factors like high availability, elasticity, failover design, scalability, performance as well as latency are covered. The next segments are about developing network, compute, and storage resources, creating a plan for migration and envisioning future improvements in solutions. The last bit looks at improvements on cloud in addition to technology, the evolution of enterprise needs, and advocacy and evangelism.

• Managing & Provisioning Solution Infrastructure

To manage and provision architectural solutions, candidates must focus on mastering how to configure topologies on networks. Concerned here are matters like hybrid networking, extending to environments like multi-cloud, data protection, and security. The next part concerns configuring storage systems and has considerations like allocation for data storage, data processing, access management and security, data retention, and growth management for data. Mastering abilities in compute systems is another tested area. It has considerations like provisioning for compute systems, the configuration of compute volatility, network configuration targeting compute nodes, and container orchestration using Kubernetes.

• Developing for Security & Compliance

The Professional Cloud Architect exam also concerns developing for security & compliance. The first part regarding security includes considerations like IAM, resource hierarchy such as folders, organizations, and projects, data security, penetration testing, separation of duties, and managing customers and their encryption keys. The second piece focuses on developing for compliance and considers matters like legislation, commercial, industry certifications like SOC 2, and audits with logs.

• Analyzing & Enhancing Technical & Business Processes

The first task is to analyze and define technical processes where considerations are such as SDLC (Software Development Life Cycle), continuous integration and deployment, troubleshooting, testing as well as validation, service catalogs, disaster recovery, and business continuity. Next is to study how to analyze and define business processes. This considers stakeholder management, change management, team assessment, the management of customer success, and cost optimization. To close this domain is creating procedures to make sure that there is resilience during solution production. An issue to consider in this case is, for example, chaos engineering.

• Managing Implementation

The Google Professional Cloud Architect exam is also about managing implementation. Thus, included here are matters like advising development or operation teams to make sure that solution deployment is successful. Additionally, issues to consider are such as application development, best practices for API, testing frameworks, and system & data migration tooling. This section also scrutinizes how to interact with the cloud by using GCP SDK (gcloud, gsutil, as well as bq), where the deliberations involved are location installation and Google Cloud Shell.

• Ensuring Reliability in Solutions & Operations

This concluding topic concerns such notions as controlling, profiling, logging, and alerting solutions. In addition, candidates will have to be aware of deploying and releasing management and should be equipped with the knowledge of offering assistance by supporting solutions that currently are in operation. To close this area there is an evaluation of measures for quality control.

Google Professional-Cloud-Architect Exam Syllabus Topics: