Cloud Architect

Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.

Validates ability to design, implement, operate, and secure AWS and hybrid network architectures at scale, including automation, monitoring, and governance.

Validates the ability to integrate foundation models into applications and business workflows on AWS, including RAG/vector stores, agentic solutions, safety/governance, optimization, and testing/troubleshooting.

Validates ability to secure AWS workloads by designing detection, incident response, infrastructure controls, IAM, data protection, and governance to meet security and compliance requirements.

Assesses ability to configure and operate Google Cloud security operations tooling to ingest and manage telemetry, hunt threats, engineer detections, respond to incidents, and report operational and security outcomes.

Assesses business-focused knowledge of generative AI concepts and Google Cloud gen AI offerings, including selecting use cases, improving model output, and driving secure and responsible adoption across an organization.

Validates skills to design, build, deploy, secure, and monitor Azure solutions across compute, storage, integrations, and app services using Azure SDKs and developer tools.

Assesses technical and managerial competence to design, engineer, implement, and manage an organization’s information security posture across eight security domains.

Validates ability to implement, orchestrate, and operate data pipelines on AWS, including selecting data stores, managing schemas/lifecycles, ensuring data quality, and applying security and governance best practices.

Evaluates a candidate’s ability to design, implement, operate and govern cloud security across architecture, data, platforms, applications, operations, and legal/risk/compliance requirements.

Assesses ability to design, plan, provision, secure, optimize, and operate scalable and cost-effective solutions on Google Cloud using Well-Architected principles.

Assesses ability to design, configure, and operate security controls on Google Cloud across identity and access, network perimeter and segmentation, data protection, security operations, and compliance-aligned governance.

Validates the ability to build, deploy, operationalize, and maintain machine learning solutions and pipelines on AWS, from data preparation through model development, orchestration, monitoring, and security.

Validates foundational knowledge of the AWS Cloud, including cloud concepts, security and compliance, core services and use cases, and AWS billing, pricing, and support resources.

Assesses foundational knowledge and practical skills for installing, operating, and troubleshooting networks across fundamentals, access, IP connectivity/services, security, and automation.

Assesses advanced enterprise security skills across governance, architecture, engineering, and operations for cloud, on-premises, and hybrid environments.

Validates ability to design secure, resilient, high-performing, and cost-optimized solutions on AWS based on the AWS Well-Architected Framework.

Assesses foundational knowledge of AI and machine learning concepts and how they map to Azure AI services, including responsible AI, computer vision, NLP, and generative AI workloads.