
An independent study guide for Microsoft Certified: Power BI Data Analyst Associate · by Tony Rough
Know how to prepare, model, visualise and share data in Power BI, and why each choice matters.
Due on Amazon in December 2026, in Kindle and paperback editions.
This independent study guide for the Microsoft Certified: Power BI Data Analyst Associate exam distils what PL-300 really expects you to understand into the comparisons, configuration choices and traps that report-building decisions turn on, with short DAX and Power Query M examples throughout.
Fourteen chapters, each readable on its own and together covering all four PL-300 skill areas:
Power BI changes quickly. This edition reflects Microsoft's documentation as of October 2026 and the skills measured from 20 April 2026, including Copilot in Power BI, the narrative visual, visual calculations, calendar-based time intelligence, Direct Lake, semantic models (formerly datasets) and the retirement of Q&A and the Bing Maps visuals.
This book contains no exam questions. It explains the knowledge the exam expects, so you can answer questions you have never seen and apply the same judgement to real reports.
Written by Tony Rough, a cloud architect with more than twenty years in IT infrastructure who holds the Azure Solutions Architect Expert, Azure Administrator and Azure Security Engineer certifications.
Part of the Ultra Transcenders series from Distilled Press. An independent publication, not affiliated with, sponsored by or endorsed by Microsoft Corporation.
Every skill area in Microsoft's PL-300 outline (as of April 20, 2026), and the chapters that cover it.
| Skill area | Weight | Chapters |
|---|---|---|
| Prepare the data | 25–30% | 2, 3, 4, 5 |
| Model the data | 25–30% | 5, 6, 7, 8 |
| Visualize and analyze the data | 25–30% | 7, 9, 10, 11 |
| Manage and secure Power BI | 15–20% | 1, 12, 13, 14 |
Plus an appendix glossary of 400+ terms, each linked to Microsoft Learn, with the same terms explained free online for print readers.



Some sections of the book, free to read online:
How a referenced query differs from a duplicated one, and what each choice means for refresh, maintenance and query dependencies.
Where to change a source's credentials and path, and how None, Private, Organizational and Public privacy levels affect combining data.
How to filter one fact table by the same dimension in several roles, such as order date and ship date, with inactive relationships or copies of the table.
How CALCULATE changes filter context and when to use ALL, REMOVEFILTERS, KEEPFILTERS, USERELATIONSHIP and other modifiers.
How to report stock levels and account balances that sum across categories but not over time, using LASTDATE, LASTNONBLANK and closing-balance functions.
Which way of getting reports to readers fits each audience, licence and security need.
Which sources, storage modes and refresh scenarios need an on-premises data gateway and which connect directly from the cloud.
How to define static and dynamic row-level security roles in Power BI Desktop with DAX filters and USERPRINCIPALNAME.