Who it fits
Analysts and builders who use Power BI to turn data into reports, models, dashboards, and decision support for business stakeholders.
PL-300 is Microsoft’s Power BI data analyst certification. It is not a general Microsoft fundamentals exam. It is a role-based exam for people who need to prepare data, model data, build reports, analyze trends, and manage Power BI securely enough to create real business value.
The PL-300 practice page is also where dotCreds keeps the full-bank unlock and PDF options for longer review sessions.
Choose PL-300 when your real goal is Power BI work, not just Microsoft fundamentals. If dashboards, relationships, DAX, report design, refresh, and permissions are the job, PL-300 is the exam.
This is the short version when you need to decide whether PL-300 is your lane or just adjacent to it.
Analysts and builders who use Power BI to turn data into reports, models, dashboards, and decision support for business stakeholders.
It is not a broad beginner exam. It is deeper than PL-900 and more reporting-focused than DP-900.
Power Query cleanup, DAX, relationships, report usability, accessibility, workspaces, refresh, permissions, and security.
Start the PL-300 practice page or compare it with other Microsoft lanes in the Microsoft comparison guide.
Microsoft frames this certification around delivering actionable insights, building easy-to-understand visuals, and enabling self-service analytics. That usually means analysts, BI developers, analytics engineers who touch Power BI, and technically strong business users who own dashboards and reporting outcomes.
PL-300 covers the end-to-end Power BI workflow: get the data, shape it, model it, report on it, and keep it usable and secure.
The PL-300 practice page gives you the free daily questions, then the full-bank unlock and PDF options on the same page.
These are the current official weights and the practical prep angle for each one.
| Domain | Weight | What to practice |
|---|---|---|
| Prepare the data | 25–30% | Credentials, privacy levels, DirectLake versus DirectQuery versus Import, parameters, cleanup, import errors, merge and append, fact and dimension shaping. |
| Model the data | 25–30% | Relationships, cardinality, cross-filter direction, date tables, calculated columns, calculated tables, and DAX measures. |
| Visualize and analyze the data | 25–30% | Visual choice, report formatting, slicers, filtering, bookmarks, tooltips, drillthrough, accessibility, mobile design, refresh, AI visuals, and trend analysis. |
| Manage and secure Power BI | 15–20% | Workspaces, semantic models, row-level security, sensitivity considerations, deployment, sharing, and governed access. |
Power Query and DAX matter enough that Microsoft calls them out directly. You do not need to be perfect before you start, but you should expect PL-300 to feel much easier when Power Query cleanup and basic DAX measures stop feeling foreign.
DP-900 is cloud data fundamentals. PL-300 is Power BI analyst execution. Choose DP-900 when you still need the Azure data concepts layer. Choose PL-300 when your real question is how to build and manage good Power BI reporting work.
PL-900 introduces the Power Platform broadly. PL-300 goes much deeper into Power BI itself. If you mainly want low-code business apps and automation awareness, PL-900 is the lighter on-ramp. If Power BI is the job target, PL-300 is the better fit.
Open this if you want the Azure data fundamentals layer before you go deeper into analyst execution.
Use the comparison page when you are still choosing between data fundamentals, Power Platform, Power BI, and Azure AI.
Yes, if your work target is Power BI and stakeholder-facing reporting. It is a stronger fit for that path than a broad fundamentals exam.
No. DP-900 can help, but it is not required. If Power BI is the main goal, PL-300 can be the more direct move.
No. DAX is important, but so are Power Query, model design, visuals, usability, refresh, permissions, and security.
Usually yes. PL-900 is a broader fundamentals exam. PL-300 expects deeper Power BI execution skill.
Practice transformations, relationships, DAX measures, report usability, accessibility, workspaces, refresh behavior, and security.
Be ready to spend real time with Power Query and DAX, because Microsoft explicitly calls out both in the audience profile and skills overview.
Microsoft, Azure, Power BI, Power Platform, and related exam names are trademarks of Microsoft. dotCreds is not affiliated with Microsoft.
Flexible search understands PL-300, pl300, DP-900, Power BI, Power Platform, and Azure AI terms.