Timed practice mirroring real exam conditions.
- Exam-style formats
- Timed sessions
- Domain scores
Design and implement cloud infrastructure solutions across AWS, Azure, and Google Cloud platforms
Validates foundational understanding of AI, ML, and generative AI concepts and responsible use, including selecting appropriate AWS AI services for business use cases.
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.
Assesses technical and managerial competence to design, engineer, implement, and manage an organization’s information security posture across eight security domains.
Assesses foundational knowledge and practical skills for installing, operating, and troubleshooting networks across fundamentals, access, IP connectivity/services, security, and automation.
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.
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.
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.
Evaluates a candidate’s ability to design, implement, operate and govern cloud security across architecture, data, platforms, applications, operations, and legal/risk/compliance requirements.
Timed practice mirroring real exam conditions.
AI companion that diagnoses weak spots.