MS Power BI
Kurs Hakkında
1 | Why an Independent Power BI Certification?
Power BI is now the most widely-deployed modern BI platform, used by more than 100 000 organisations and over 30 million monthly active users worldwide.In the 2025 Gartner Magic Quadrant for Analytics & BI, Microsoft was again positioned highest for Ability to Execute and furthest for Completeness of Vision. The broader BI market is projected to almost triple in size by 2033.
Yet rapid adoption has exposed skills gaps in data modelling, DAX performance, governance, and secure content distribution. The PBI-S exam measures—not assumes—proficiency in these areas, fostering a common standard of practice across analysts, developers, and data-governance teams.
2 | Exam Blueprint
| Dimension | Detail |
|---|---|
| Format | 50 single-best-answer questions |
| Duration | 120 min (≈ 2 min / item) |
| Pass Mark | 80 % |
| Delivery | Remote proctoring, immediate score release |
| Credential | Web + QR-verifiable on LinkedIn & GitHub |
| Psychometrics | Pilot testing: Cronbach’s α = 0.82 (high reliability) |
All items are mapped to Bloom’s Apply → Analyse levels; rote facts alone are insufficient.
3 | Assessed Competency Domains
(representative stems are paraphrased from the item bank)
| Domain | Example Assessment Focus |
|---|---|
| Data Model Design | Star-schema principles, relationships, bidirectional filters |
| DAX Semantics & Optimisation | Context transition, CALCULATE(), filter propagation, VertiPaq storage |
| Power Query (M) & ETL | Incremental refresh, query folding diagnostics |
| Visual Analytics Best Practice | Cardinality vs. performance, accessibility guidelines |
| Row-Level & Object-Level Security | Dynamic RLS patterns, inheritance interactions |
| Performance Tuning & Governance | Composite models, aggregation tables, usage metrics |
| Power BI Service Administration | Workspaces, deployment pipelines, tenant settings |
| Advanced Analytics & AI Visuals | Forecasting, Auto-insights, integration with Cognitive Services |
| Deployment & Lifecycle | PBIP, source control integration, CI/CD with deployment pipelines |
4 | Scholarly and Organisational Significance
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Methodological Rigor – A psychometrically validated instrument that distinguishes surface familiarity from deep competence in modelling, DAX, and governance.
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Quality Assurance – Teams with at least one PBI-S-certified member demonstrate fewer model refresh failures and more consistent performance baselines in internal audits (pilot cohort, 2024).
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Shared Vocabulary – Establishes a common terminology for cross-functional collaboration between business units, data engineers, and IT governance.
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Continuous Improvement – Each candidate receives a diagnostic report pinpointing strengths and knowledge gaps, enabling focused professional development.
Course Content
Microsoft Power BI
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