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Pass your GCP Google Professional Cloud Architect exam on the first attempt and become GCP Google Certified Professional Cloud Architect. Every question has a detailed explanation of why an option is correct and why the other options are wrong. All questions and answers in these practice exams have been carefully design and updated to be fit for Professional Cloud Architect Certification exam.Exam details according to Google, require minimum 70% score to pass: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 measures

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