About Microsoft PL-300 Exam Braindumps
In 2026, passing PL-300 can lead straight to the next credential, and ExamsTorrent rewards that ambition: pass your exam, come back for another subject, and a discount is waiting on your next Microsoft Power BI Data Analyst purchase.
Microsoft PL-300 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Power BI Data Analyst |
| Exam Number: | PL-300 |
| Real Exam Qty: | 40-60 |
| Available Languages: | Chinese (Simplified), Japanese, English, Korean |
| Passing Score: | 700 (scaled score, passing not publicly disclosed) |
| Certificate Validity Period: | 1 year |
| Exam Price: | $165.00 USD |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Drag and drop, Case study, Short answer |
| Related Certifications: | Microsoft Certified: Power BI Data Analyst Associate |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored exam (Pearson VUE) or in-person testing center |
| Pre Condition: | No mandatory prerequisites, but Microsoft recommends having foundational knowledge of data concepts and Microsoft Power BI before taking the exam. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/pl-300/ |
Microsoft PL-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Analyze the Data | 10-15% | - Perform analysis in Power BI
|
| Model the Data | 25-30% | - Create measures and DAX calculations
|
| Visualize the Data | 25-30% | - Enrich reports with advanced visuals
|
| Manage and Maintain Workspace Items | 10-15% | - Manage datasets
|
| Prepare the Data | 10-15% | - Get data from various data sources
|
PL-300 Exam Details, Version Policy and Customer Perks
- Model the Data (25-30%)
- Visualize the Data (25-30%)
- Manage and Maintain Workspace Items (10-15%)
Microsoft Power BI Data Analyst Sample Questions:
You have a Power BI report that contains the visuals shown in the following table.
You need to modify the location of each visual.
What should you modify for each visual?
- A. the padding
- B. the position
- C. the layer order
- D. the tab order
Correct Answer: B π³οΈ
Explanation: Only visible for ExamsTorrent members. You can sign-up / login (it's free).
You have a Power BI semantic model that contains a table named Table1. Table1 runs in Import storage mode. You need to update the model to change the storage mode of Table1 to DirectQuery. What should you do?
- A. Delete Table1. and then add the table to the model again in DirectQuery storage mode.
- B. From Power Query Editor, duplicate the query for Table1.
- C. From Model view, change the storage mode of Table1 to DirectQuery
- D. Add an aggregation table to the model.
Correct Answer: A π³οΈ
Explanation: Only visible for ExamsTorrent members. You can sign-up / login (it's free).
You have a Power BI report.
You need to create a calculated table to return the 100 highest spending customers.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Read the completed answer mapping as 1) TOPN; 2) SUMMARIZE; 3) DESC. The required outcome is to create a calculated table to return the 100 highest spending customers. DAX calculations depend on evaluation context. Aggregators, iterators, and filter-modifying functions must be combined so the expression evaluates the intended rows while retaining or replacing filters only where required. This directly matches the current study-guide objective " Create calculated tables or columns " . A measure would not create the persistent row-level field or table needed for sorting, categorization, relationships, or reuse in the model. It also preserves predictable filter context and aggregation behavior when the result is used by several visuals or report pages.
Microsoft Learn reference: https://learn.microsoft.com/en-us/dax/ | PL-300 objective: " Create calculated tables or columns " | Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study- guides/pl-300
You have a Power BI imported semantic model that contains the data model shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
Cardinality describes uniqueness on each side of a relationship; cross-filter direction controls how filters travel. Both settings must match the model grain or totals and security filtering can become unreliable. Begin with the scenario statement that you have a power bi imported semantic model that contains the data model shown in the following exhibit. use the drop-down menus to select the answer choice that completes each statement. The retained answer-area mapping contains the correct selections. The relevant current PL-300 study-guide bullet is " Define a relationship ' s cardinality and cross-filter direction " . The opposite cardinality or unnecessary bidirectional filtering can duplicate results, block propagation, or create ambiguity rather than solve the stated model path.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop- relationships-understand | PL-300 objective: " Define a relationship ' s cardinality and cross-filter direction "
| Study guide: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
You have a query named All Sales that imports sales data into a Power BI model.
You plan to create a star schema by separating columns into separate queries and performing further transformations. The solution must meet the following requirements:
; Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.
; Minimize maintenance effort.
What should you do to create the Sales Fact query, and for which query should you clear Enable load? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
A star schema separates descriptive dimensions from event-level facts. Keeping the fact grain and relationship keys aligned supports correct aggregation and generally produces simpler, more efficient report queries. Use the selections preserved in the answer exhibit as the supported configuration. The relevant context is that the solution must meet the following requirements:; Use All Sales as the source for three other queries named Sales Fact Product Dimension, and Customer Dimension.; Minimize maintenance effort. Combining descriptive attributes and transactions at mixed grains makes keys and aggregation less predictable than a dimension-to-fact star design. This rationale is anchored to the PL-300 objective " Create fact tables and dimension tables " .
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/star-schema | PL-300 objective: " Create fact tables and dimension tables " | Study guide: https://learn.microsoft.com/en-us
/credentials/certifications/resources/study-guides/pl-300
Free Demo






