200+ Free PL-300 Practice Questions
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Key Facts: PL-300 Exam
~65-75%
Estimated Pass Rate
Industry estimate
700/1000
Passing Score
70%
40-60 hrs
Study Time
Recommended
100 min
Exam Duration
40-60 questions
$165
Exam Fee
Microsoft
1 year
Certification Valid
Annual renewal available
The Microsoft Power BI Data Analyst Associate (PL-300) requires a passing score of 700 out of 1000 (70%). The exam has 40-60 questions to be completed in 100 minutes. All four domains are weighted approximately equally (25-30% each for the first three, 15-20% for security/management). The estimated pass rate is 65-75% for well-prepared candidates. This certification demonstrates proficiency in Power BI and data analysis, with no prerequisites required.
About the PL-300 Exam
The Microsoft Power BI Data Analyst Associate (PL-300) certification validates your ability to prepare, model, visualize, and secure data using Microsoft Power BI. The exam covers four domains: Prepare the data (25-30%), Model the data (25-30%), Visualize and analyze the data (25-30%), and Manage and secure Power BI (15-20%). This certification is ideal for data analysts, BI professionals, and anyone who works with data visualization and business intelligence.
Questions
40 scored questions
Time Limit
100 minutes
Passing Score
700/1000 (70%)
Exam Fee
$165 USD (varies by region) (Microsoft)
PL-300 Exam Content Outline
Prepare the data
Connect to data sources, transform data using Power Query, clean and shape data, create calculated columns using M language, and configure data loading options (import vs DirectQuery)
Model the data
Design star schema, create and manage relationships, build calculated columns and measures using DAX, implement time intelligence, create hierarchies, and optimize model performance
Visualize and analyze the data
Create reports and dashboards, use various visual types, implement filters and slicers, create bookmarks and tooltips, use AI features (Copilot, Key Influencers, Q&A), and design for accessibility
Manage and secure Power BI
Create and manage workspaces, configure row-level security (RLS), manage datasets and dataflows, configure gateways, implement sensitivity labels, and use deployment pipelines
How to Pass the PL-300 Exam
What You Need to Know
- Passing score: 700/1000 (70%)
- Exam length: 40 questions
- Time limit: 100 minutes
- Exam fee: $165 USD (varies by region)
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
PL-300 Study Tips from Top Performers
Frequently Asked Questions
What is the PL-300 passing score?
The Microsoft PL-300 exam requires a passing score of 700 out of 1000, which is approximately 70%. The exam has 40-60 questions to be completed in 100 minutes. The exact number of questions varies as Microsoft uses unscored pretest questions. There is no penalty for incorrect answers, so candidates should attempt all questions.
How hard is the PL-300 exam?
The PL-300 has an estimated pass rate of 65-75% for well-prepared candidates. The exam is considered moderately difficult as it tests both theoretical knowledge and practical skills in Power BI. Candidates with 3-6 months of hands-on Power BI experience and 40-60 hours of study typically pass on their first attempt. The most challenging areas are typically DAX calculations and data modeling concepts.
What are the four domains of the PL-300 exam?
The four exam domains are: Domain 1 — Prepare the data (25-30%): Connect to data sources, use Power Query Editor, transform and clean data, and work with the M language; Domain 2 — Model the data (25-30%): Design star schema, create relationships, write DAX measures and calculated columns, and implement time intelligence; Domain 3 — Visualize and analyze the data (25-30%): Create reports, use various visuals, implement interactivity, and leverage AI features; Domain 4 — Manage and secure Power BI (15-20%): Workspaces, RLS, dataflows, gateways, and deployment pipelines.
How long should I study for the PL-300 exam?
Most candidates need 40-60 hours of study time over 4-6 weeks. Candidates with regular Power BI experience may need less time. Key study activities: 1) Complete Microsoft Learn learning paths for PL-300; 2) Practice Power Query transformations extensively; 3) Master DAX fundamentals including context, iterators, and time intelligence; 4) Build complete reports from scratch; 5) Study security features like RLS and workspace roles; 6) Complete 200+ practice questions and score 80%+ consistently before scheduling.
Is the PL-300 certification worth it in 2026?
Yes — PL-300 is highly valuable for data professionals: 1) Power BI is the leading business intelligence platform with over 200,000 customers; 2) Power BI skills are in high demand with competitive salaries (average $85,000-$120,000 for data analysts); 3) It validates practical skills that employers specifically seek; 4) It is a prerequisite for the Power BI Data Engineer certification; 5) The certification is valid for one year but can be renewed annually via free Microsoft Learn assessments.
What is the difference between PL-300 and DA-100?
DA-100 was retired in March 2023 and replaced by PL-300. The content is largely similar, but PL-300 includes updated features and reduced emphasis on some legacy topics. Key differences: PL-300 includes Copilot AI features, datamarts, and updated Power BI service features; some topics like paginated reports have reduced emphasis; the exam format and passing score remain the same. If you studied for DA-100, you are well-prepared for PL-300 with some updates.
What DAX functions should I know for the exam?
Key DAX functions to master: Aggregation functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT); Filter functions (FILTER, ALL, ALLEXCEPT, REMOVEFILTERS); Iterator functions (SUMX, AVERAGEX, COUNTX); Time intelligence (SAMEPERIODLASTYEAR, DATESYTD, TOTALYTD, PARALLELPERIOD); Logical functions (IF, SWITCH, AND, OR); Table functions (VALUES, DISTINCT, CALCULATETABLE); Relationship functions (RELATED, RELATEDTABLE). Focus on understanding row context vs filter context.
What Power Query transformations are tested?
Key Power Query skills: Connecting to various data sources (SQL, Excel, web, SharePoint); Data profiling and quality assessment; Cleaning operations (remove duplicates, replace values, split columns); Transformations (pivot/unpivot, merge/append queries, group by); Adding custom columns using M language; Creating and using query parameters; Handling errors and data types; Understanding query folding for performance optimization.