SAP

Cloud Architect (GCP-CA)

GCP Question & Answer
SAP

Last Updated

05 June 2026

Exam Code: GCP-CA
Exam Name: Cloud Architect

Passing Score: 70%
Duration: 120 Minute

ALL ITprep Provides 100% Valid GCP Exam Questions and answers which can helps you to Pass Your Certification Exam in First Attempt.

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  • Total Questions in Exams: 60
  • Total Questions in Dumps: 116

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Course Description

Cloud Architects
Exam GuideSection 1: Designing and planning a cloud solution architecture (~24% of the exam)1.1 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 infrastructure (~15% of the exam)2.1 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 compliance (~18% of the exam)3.1 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 processes (~18% of the exam)4.1 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 implementation (~11% of the exam)5.1 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 reliability (~14% of the exam)6.1 Monitoring/logging/profiling/alerting solution6.2 Deployment and release management6.3 Assisting with the support of deployed solutions6.4 Evaluating quality control measures

Cloud Architects
Exam GuideSection 1: Designing and planning a cloud solution architecture (~24% of the exam)1.1 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 infrastructure (~15% of the exam)2.1 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 compliance (~18% of the exam)3.1 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 processes (~18% of the exam)4.1 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 implementation (~11% of the exam)5.1 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 reliability (~14% of the exam)6.1 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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24 reviews for Cloud Architect

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    Jeremy Landor

    August 21, 2024 at 12:00 pm

    Ideal for achieving SAP GCP-CA certification success. The practice questions and study material were detailed and effective.

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    August 20, 2024 at 09:53 am

    Perfect for a comprehensive review before the GCP-CA exam. The questions were challenging yet relevant, ensuring thorough preparation.

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    August 17, 2024 at 12:14 pm

    A reliable tool for GCP-CA exam preparation. The content was accurate, and the practice questions were extremely helpful.

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    August 16, 2024 at 02:00 pm

    GCP-CA content is affordable and provide essential means to study and practice effectively for the GCP certification exam.

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