DP-900 Exam Prep

Course Description

This SkillDynamo course develops practical, role-relevant capability in preparing for DP-900 by understanding core data concepts, relational and non-relational data, Azure database services, analytics workloads, data engineering, visualization, governance, and exam scenarios. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Explain and apply core data concepts, roles and workload characteristics within a practical DP-900 Exam Prep scenario
• Validate core data concepts, roles and workload characteristics decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply relational data and azure relational services within a practical DP-900 Exam Prep scenario
• Validate relational data and azure relational services decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply non-relational data and azure storage services within a practical DP-900 Exam Prep scenario
• Validate non-relational data and azure storage services decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
• Explain and apply analytics, data engineering, visualization and exam review within a practical DP-900 Exam Prep scenario
• Validate analytics, data engineering, visualization and exam review decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.