Computer Science

Validates foundational knowledge of Git and GitHub concepts, repository workflows, collaboration, DevOps practices, project management, and platform security and administration.

Assesses the ability to plan, scope, execute, and report on penetration testing and vulnerability assessment activities, including legal considerations, tool use, and basic code analysis.

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

Assesses knowledge and applied skills for establishing, implementing, and operating AI governance across the AI lifecycle, including organizational governance, applicable laws/standards, development controls, and deployment risk management.

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.

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 executive-level capability to lead and govern an enterprise information security program, including risk, compliance, controls, operations, core security practices, and strategic planning with finance and third-party oversight.

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.

Validates baseline cybersecurity knowledge and skills to assess threats, implement secure architecture and operations, and manage risk, governance, and compliance across enterprise environments.

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

Assesses competence to plan and perform IS audits, evaluate governance and controls, review systems lifecycle activities, and assess operations, resilience, and protection of information assets.

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

Validates intermediate-level skills to detect and analyze threats, manage vulnerabilities, execute incident response, and communicate security findings using common frameworks, tools, and reporting practices.

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.