PL-300 Practice Test
DAX, Power Query, and governance — the questions that decide who passes PL-300.
Our questions target the scenarios that trip up even experienced Power BI users: context transition, ALLSELECTED, query folding, RLS, and deployment pipelines. 40 questions free — no account required.
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PL-300 Exam Details
What to expect on exam day
Questions
40-60 questions
Duration
65 minutes
Passing Score
700/1000
Exam Cost
$165 USD
Exam Domains Covered
Master all topics tested on the PL-300 exam
Prepare the data (25-30%)
Model the data (25-30%)
Visualize and analyze the data (25-30%)
Manage and secure Power BI (15-20%)
Test Yourself Right Now
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5 Free PL-300 Questions
See how ready you are for the PL-300 exam. Each question includes a detailed explanation so you learn as you go.
Why Practice with MSCertQuiz?
Microsoft Learn teaches concepts. We prepare you for the actual exam.
Questions designed to expose common PL-300 mistakes before the real exam does
Deep DAX coverage: context transition, CALCULATE modifiers, time intelligence, and ALLSELECTED
Power Query M language, query folding, and data transformation scenarios
Updated for the latest 2026 exam objectives — DirectLake, Fabric, and governance included
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91% pass rate — Based on users who completed at least 2 practice exams
“The DAX questions on context transition and CALCULATE were exactly what I needed. The explanations actually taught me why, not just what. Passed PL-300 with 745 on my first attempt.”
Sara P.
Scored 745 on PL-300
“Power Query M language was my weak spot. MSCertQuiz had scenarios covering query folding, error handling, and combining files that I hadn't seen anywhere else. The difficulty level is spot on.”
Mike K.
PL-300 Certified
“I've been using Power BI for 3 years but still found the governance and security questions challenging. MSCertQuiz RLS, deployment pipeline, and gateway scenarios prepared me for what actually appeared on the exam.”
Tanya C.
Passed PL-300 first try
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Official Microsoft Resources
Our practice questions are aligned with official Microsoft exam objectives. We recommend studying with Microsoft Learn first, then using MSCertQuiz to test your readiness.
View Official PL-300 Exam DetailsPL-300 Frequently Asked Questions
Everything you need to know about the PL-300 Microsoft Power BI Data Analyst certification
How hard is the PL-300 exam?
Is PL-300 worth it in 2026?
What is the passing score for PL-300?
How long should I study for PL-300?
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How is MSCertQuiz different from free PL-300 practice tests?
What topics does PL-300 cover?
How many questions are on the PL-300 exam?
How long is the PL-300 exam?
How much does the PL-300 exam cost?
How long is the PL-300 certification valid?
What is the difference between PL-300 and DP-600?
What changed in the PL-300 exam in 2026?
What are the PL-300 exam topics for 2026?
What is the PL-300 passing score in 2026?
PL-300 Exam Cost 2026
The PL-300 exam costs $165 USD in 2026 — the standard Microsoft Associate-level certification price. Pricing varies by country: approximately ₹4,800 INR in India, £113 GBP in the UK, and roughly €165 EUR in most European markets. Always confirm the current price on the official Microsoft Learn scheduling page for your region.
There are no formal prerequisites. Microsoft recommends hands-on Power BI experience and familiarity with data modeling concepts before attempting the exam. PL-300 expires annually — renewal is free via a shorter online assessment on Microsoft Learn. Microsoft Ignite, Enterprise Skills Initiative (ESI), and Microsoft Learn Cloud Skills Challenges occasionally offer free or discounted exam vouchers.
PL-300 vs DP-600: Power BI vs Fabric Analytics Engineer
PL-300 and DP-600 are the two main Microsoft data certifications for analytics professionals — but they target different roles and skill depths. PL-300 is Power BI–focused; DP-600 is the Microsoft Fabric Analytics Engineer certification covering the full Fabric platform.
| PL-300 | DP-600 | |
|---|---|---|
| Role | Power BI Data Analyst | Microsoft Fabric Analytics Engineer |
| Platform | Power BI (reports, dashboards, DAX) | Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Real-Time Analytics) |
| Level | Associate | Associate |
| Cost | $165 USD | $165 USD |
| DAX required? | Yes — deeply | Moderate |
| SQL / Spark? | Helpful but not tested heavily | Yes — T-SQL, PySpark, notebooks |
| Salary (US) | $80K–$125K | $95K–$145K |
| Best for | Business analysts, BI developers, report authors | Data engineers, analytics engineers, Fabric architects |
Take PL-300 if your work centers on Power BI report building, DAX modeling, and delivering insights to business users. Take DP-600 if your role involves building data pipelines, lakehouses, and the broader Microsoft Fabric data estate. Many analytics engineers earn both — PL-300 proves reporting depth, DP-600 proves engineering breadth.
PL-300 vs PL-900: Associate vs Fundamentals
PL-900 (Power Platform Fundamentals, $99) covers awareness-level concepts across Power BI, Power Apps, Power Automate, and Power Virtual Agents. PL-300 (Power BI Data Analyst, $165) goes much deeper on Power BI specifically — advanced data modeling, complex DAX, row-level security, workspace governance, and deployment pipelines. PL-900 is the right starting point if you're new to the Power Platform. PL-300 is for practitioners who work in Power BI regularly and want to validate their professional skills. You do not need PL-900 to sit PL-300, though the fundamentals knowledge helps with understanding context.
PL-300 Salary and Career Outlook (2026)
Power BI Data Analysts with PL-300 certification in the US report the following salary ranges in 2026:
- • Entry-level Power BI analyst (0–2 yrs): $60,000–$80,000 USD
- • Power BI Data Analyst (2–5 yrs): $80,000–$110,000 USD
- • Senior BI Developer / BI Architect: $110,000–$140,000 USD
- • PL-300 + DP-600 (Fabric + Power BI): $120,000–$155,000 USD
- • PL-300 + DP-900 + Azure (Full Analytics Stack): $125,000–$160,000 USD
PL-300 is particularly valuable in organizations that have standardized on Microsoft 365 and Power BI for their analytics stack. As Microsoft Fabric adoption grows in 2026, Power BI skills remain foundational — Fabric's Power BI experience is built on the same semantic model and DAX engine. Analysts who can bridge business reporting (PL-300) and data engineering (DP-600) are increasingly sought after.
PL-300 Exam Topics 2026: Domain Breakdown
PL-300 covers four domains. Microsoft periodically refines question weighting — always verify the latest exam objectives on the official Microsoft Learn PL-300 page before your exam date.
Prepare the Data
25–30%Connect to data sources (files, databases, cloud services, SharePoint, APIs), shape and transform data in Power Query, handle data type conversions and errors, combine queries (merge, append), implement incremental refresh, profile data quality, configure query parameters and templates.
Model the Data
25–30%Design and implement star schemas, configure relationships (cardinality, cross-filter direction), create calculated columns and measures using DAX, use time intelligence functions (DATEADD, TOTALYTD, SAMEPERIODLASTYEAR), implement row-level security (RLS) and object-level security, optimize data models for performance.
Visualize and Analyze the Data
25–30%Create reports with appropriate visuals (bar, line, map, matrix, KPI, decomposition tree), configure interactions and cross-filtering, use slicers and filters effectively, implement bookmarks and navigation, use AI visuals (Key Influencers, Q&A, Smart Narrative), create paginated reports, design for accessibility and mobile.
Deploy and Maintain Assets
15–20%Manage Power BI workspaces and access roles (Admin, Member, Contributor, Viewer), configure scheduled data refresh and gateway connections, publish reports and create dashboards, manage deployment pipelines (Dev/Test/Prod), configure sensitivity labels and data protection, monitor report usage and performance with usage metrics.
PL-300 Study Plan: 6-Week Schedule
Most candidates pass PL-300 in 4–8 weeks depending on their Power BI experience. This 6-week plan assumes you use Power BI regularly but want to fill gaps and pass with confidence:
- Week 1: Data preparation and Power Query — connect to at least 5 different data sources, practice transformations (pivot, unpivot, merge, append), and understand query folding. Build a sample data model from scratch using public datasets.
- Week 2–3: Data modeling and DAX — design a star schema, implement relationships correctly, and write 20+ DAX measures covering aggregations, filters (CALCULATE, FILTER, ALL, ALLEXCEPT), and time intelligence (YTD, MTD, SAMEPERIODLASTYEAR, DATEADD). DAX is the hardest part of PL-300 — invest the most time here.
- Week 4: Visualization and report design — build a complete multi-page report using 10+ visual types, configure cross-filtering, implement bookmarks and navigation buttons, and use AI visuals. Practice mobile layout view and accessibility features.
- Week 5: Security, deployment, and workspace management — configure RLS roles and test them, set up scheduled refresh with an on-premises gateway, publish to workspaces, configure deployment pipelines, and review sensitivity label configuration.
- Week 6: Take 40 free practice questions to identify weak areas. Re-study the lowest-scoring domain. Run two full timed mock exams — aim for 80%+ consistently before booking. Focus on DAX scenario questions which are the most common exam stumbling block.