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

Methodological Rigor – A psychometrically validated instrument that distinguishes surface familiarity from deep competence in modelling, DAX, and governance.
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).
Shared Vocabulary – Establishes a common terminology for cross-functional collaboration between business units, data engineers, and IT governance.
Continuous Improvement – Each candidate receives a diagnostic report pinpointing strengths and knowledge gaps, enabling focused professional development.

Design robust star-schema-based data models with proper relationships and filter directions
Write and optimize DAX expressions, understanding context transitions and storage behavior
Apply advanced Power Query (M) skills for ETL, including incremental refresh and query folding
Follow visual analytics best practices, balancing performance, accessibility, and insight clarity
Configure Row-Level and Object-Level Security (RLS/OLS) with dynamic and inherited roles
Tune report and model performance using composite models, aggregations, and usage metrics
Manage Power BI service environments, including workspace roles and deployment pipelines
Use built-in AI visualizations and forecasting tools, integrating with Azure Cognitive Services
Implement lifecycle management practices including version control and CI/CD deployment
Understand and communicate using a shared BI vocabulary across technical and business teams
Use the diagnostic feedback report to identify and close competency gaps for continued development

Course Content

Microsoft Power BI
Power Business Intelligence İş zekası ve Veri Görselleştirm ( Data Visualization ) , Raporlama ( Reporting)

Microsoft Power BI

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