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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gcp-professional-cloud-architect-exam-questions-2023/
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课程名称：GCP - 专业云架构师考试题库2025 课程概述： 欢迎参加“GCP - 专业云架构师考试题库2023”课程——您获得谷歌云平台认证的终极途径。本课程旨在深化您对谷歌云技术的理解及实践知识，帮助您成为认证的专业云架构师。无论您是希望探索云领域的新手，还是希望扩大技能的IT专业人士，这门课程都提供了灵活的学习体验。我们结合了理论概念与实际场景，以促进对谷歌云架构的深入理解。 课程内容涵盖了与2023年GCP考试模式对齐的所有关键主题。我们提供丰富的资源、详尽的解释以及模拟测验，以模拟实际考试环境。我们的目标是使您具备实际应用知识，从而利用新的GCP专业知识解决复杂业务问题。 课程特点： - 全面课程：涵盖GCP的所有核心方面，从设计和规划云解决方案架构到管理和配置云解决方案基础设施。 - 实际场景：通过实际操作学习，解决现实世界问题并发展实际解决方案。 - 练习题：高质量、最新的练习题模拟实际考试模式和难度。 - 深度解释：对每个问题的详细拆解，帮助您理解正确答案背后的概念。 - 持续更新：我们会根据最新的GCP更新定期更新课程内容。 课程涵盖的主题： 1. 设计和规划云解决方案架构 - 应用设计、成本优化、高可用性设计等。 - 网络、存储和计算资源的设计。 - 制定迁移计划和未来的解决方案改进设想。 2. 管理和配置解决方案基础设施 - 网络拓扑、存储系统及计算系统配置。 3. 设计安全性与合规性 - 身份与访问管理、数据安全、合规性法规等。 4. 分析和优化技术及业务流程 - 软件开发生命周期、持续集成/持续部署、变更管理等。 5. 管理实施 - 确保解决方案成功部署的建议和与Google Cloud的编程交互。 6. 确保解决方案与操作的可靠性 - 监控、部署管理、质量控制措施等。 完成本课程后，您将为GCP专业云架构师考试做好充分准备，并拥有第一次就通过考试的信心与知识。今天就开始您成为谷歌认证专业云架构师的旅程吧！ 请记住，本课程与谷歌云无关联或未经其认证。
Welcome to the 'GCP - Professional Cloud Architect Exam Questions 2023' course - your ultimate pathway to acing Google Cloud Platform certification. This comprehensive course is designed to catapult your understanding and practical know-how of Google Cloud technology, helping you to become a Certified Professional Cloud Architect.Whether you're a beginner looking to explore the cloud domain or an IT professional wanting to broaden your skillset, this course offers a versatile learning experience. We provide a blend of theoretical concepts and real-world scenarios, crafted to foster an in-depth understanding of Google Cloud architecture.Our course covers all the crucial topics that align with the 2023 GCP exam pattern. It includes exhaustive resources, detailed explanations, and simulated tests replicating actual exam conditions. We aim to equip you with a practical understanding, enabling you to solve complex business issues with your newfound GCP expertise.Key course features:Comprehensive Curriculum: Covering all core aspects of GCP - from designing and planning a cloud solution architecture to managing and provisioning the cloud solution infrastructure.Real-World Scenarios: Learn by doing. Tackle real-world problems and develop practical solutions.Practice Questions: High-quality, up-to-date practice questions simulating the actual exam pattern and difficulty.In-depth Explanations: Detailed breakdown of every question, helping you understand the concepts behind the correct answers.Continuous Updates: We'll keep you ahead of the curve by regularly updating the course content based on the latest GCP updates.Sections Covered:Section 1: Designing and planning a cloud solution architecture1.1 Designing a solution infrastructure that meets business requirements. Considerations include:● Business use cases and product strategy● Cost optimization● Supporting the application design● Integration with external systems● Movement of data● Design decision trade-offs● Build, buy, modify, or deprecate● Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)● Compliance and observability1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:● High availability and failover design● Elasticity of cloud resources with respect to quotas and limits● Scalability to meet growth requirements● Performance and latency1.3 Designing network, storage, and compute resources. Considerations include:● Integration with on-premises/multicloud environments● Cloud-native networking (VPC, peering, firewalls, container networking)● Choosing data processing technologies● Choosing appropriate storage types (e.g., object, file, databases)● Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)● Mapping compute needs to platform products1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:● Integrating solutions with existing systems● Migrating systems and data to support the solution● Software license mapping● Network planning● Testing and proofs of concept● Dependency management planning1.5 Envisioning future solution improvements. Considerations include:● Cloud and technology improvements● Evolution of business needs● Evangelism and advocacySection 2: Managing and provisioning a solution infrastructure2.1 Configuring network topologies. Considerations include:● Extending to on-premises environments (hybrid networking)● Extending to a multicloud environment that may include Google Cloud to Google Cloud communication● Security protection (e.g. intrusion protection, access control, firewalls)2.2 Configuring individual storage systems. Considerations include:● Data storage allocation● Data processing/compute provisioning● Security and access management● Network configuration for data transfer and latency● Data retention and data life cycle management● Data growth planning2.3 Configuring compute systems. Considerations include:● Compute resource provisioning● Compute volatility configuration (preemptible vs. standard)● Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, serverless networking)● Infrastructure orchestration, resource configuration, and patch management● Container orchestrationSection 3: Designing for security and compliance3.1 Designing for security. Considerations include:● Identity and access management (IAM)● Resource hierarchy (organizations, folders, projects)● Data security (key management, encryption, secret management)● Separation of duties (SoD)● Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)● Managing customer-managed encryption keys with Cloud Key Management Service● Remote access3.2 Designing for compliance. Considerations include:● Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)● Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])● Industry certifications (e.g., SOC 2)● Audits (including logs)Section 4: Analyzing and optimizing technical and business processes4.1 Analyzing and defining technical processes. Considerations include:● Software development life cycle (SDLC)● Continuous integration / continuous deployment● Troubleshooting / root cause analysis best practices● Testing and validation of software and infrastructure● Service catalog and provisioning● Business continuity and disaster recovery4.2 Analyzing and defining business processes. Considerations include:● Stakeholder management (e.g. influencing and facilitation)● Change management● Team assessment / skills readiness● Decision-making processes● Customer success management● Cost optimization / resource optimization (capex / opex)4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)Section 5: Managing implementation5.1 Advising development/operation teams to ensure successful deployment of the solution. Considerations include:● Application development● API best practices● Testing frameworks (load/unit/integration)● Data and system migration and management tooling5.2 Interacting with Google Cloud programmatically. Considerations include:● Google Cloud Shell● Google Cloud SDK (gcloud, gsutil and bq)● Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)Section 6: Ensuring solution and operations reliability6.1 Monitoring/logging/profiling/alerting solution6.2 Deployment and release management6.3 Assisting with the support of deployed solutions6.4 Evaluating quality control measuresBy the end of this course, you will be well-prepared for the GCP Professional Cloud Architect Exam, armed with the confidence and knowledge to clear it in your first attempt. Begin your journey towards becoming a Google Certified Professional Cloud Architect today!"Remember, this course is not affiliated with or accredited by Google Cloud.
