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Microsoft PL-300 Power BI Data Analyst Practice Test

Try 12 Microsoft Power BI Data Analyst (PL-300) sample questions and practice-test preview prompts on data preparation, modeling, visualization, DAX, deployment, governance, and analytics-reporting scope.

PL-300 is a Microsoft Power Platform route for analysts preparing, modeling, visualizing, and analyzing data with Power BI.

IT Mastery coverage for PL-300 is under review. Use this page to try 12 original sample questions, review the route fit, likely assessed areas, and related live practice pages.

Practice option: Sample questions available

PL-300: Microsoft Power BI Data Analyst practice update

Start with the 12 sample questions on this page. Dedicated practice for PL-300: Microsoft Power BI Data Analyst is not currently included as a full web-app practice page; enter your email to get updates when full practice becomes available or expands for this exam.

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Route snapshot

  • Issuer: Microsoft
  • Family: Microsoft Power Platform
  • Exam code: PL-300
  • Route name: Microsoft Power BI Data Analyst
  • Current IT Mastery status: Sample questions

What to review first

AreaPractical focus
Low-code solution designMatch app, automation, analytics, RPA, and architecture scenarios to the right platform capability.
Governance and ALMReview environments, connectors, security, deployment, monitoring, and lifecycle choices.
AI and Copilot fitUse Copilot and agent capabilities without losing core Power Platform control boundaries.
If you need practice nowStart here
AB-410 Intelligent ApplicationsAI-enabled Power Platform adjacent route.
AB-620 Copilot Studio AgentsAgent-building route.
GitHub ActionsUseful automation and delivery adjacent route.

Practice options

  • IT Mastery coverage for this exam: under review
  • Best use right now: try the 12 sample questions, confirm that PL-300 is your target exam, then use the closest live Azure, Microsoft, security, data, DevOps, or IT fundamentals pages while coverage expands
  • Update form: use the Notify me form near the top of this page if PL-300 is your actual target exam
  • Quick review: open the PL-300 cheat sheet if you need a compact Power BI data analyst checklist before the sample questions.

Sample Exam Questions

Try these 12 original sample questions for Microsoft PL-300. They are designed for self-assessment and are not official exam questions.

Question 1

Topic: data preparation

A sales dataset has inconsistent region names and missing values. What should the analyst do first?

  • A. Clean and transform the data before modeling and reporting.
  • B. Build visuals without checking data.
  • C. Hide all nulls without review.
  • D. Publish the report immediately.

Best answer: A

Explanation: PL-300 emphasizes preparing and transforming data before analysis. Poor data quality weakens every report.

What this tests: Preparing data for analysis.


Question 2

Topic: data model

A report has slow visuals because every measure scans a wide flat table. What should be reviewed?

  • A. Only the report theme.
  • B. Model design, relationships, star schema, columns, and measures.
  • C. The user’s browser bookmarks.
  • D. A Teams policy.

Best answer: B

Explanation: Power BI performance and usability depend heavily on model structure.

What this tests: Designing efficient semantic models.


Question 3

Topic: DAX

A measure must calculate year-to-date sales based on the report date context. What skill is most relevant?

  • A. Changing a SharePoint permission only.
  • B. Creating a DNS zone.
  • C. Writing a DAX measure that respects filter context and time intelligence.
  • D. Renaming the workspace.

Best answer: C

Explanation: DAX measures evaluate in filter context. Time intelligence is a common PL-300 concept.

What this tests: Applying DAX and filter context.


Question 4

Topic: relationships

A visual double-counts sales after a table join. What should be inspected?

  • A. Only the chart color.
  • B. The user’s profile photo.
  • C. A mailbox setting.
  • D. Relationship cardinality, filter direction, keys, and grain.

Best answer: D

Explanation: Incorrect relationships or grain can produce misleading totals. Analysts must validate model behavior.

What this tests: Troubleshooting model relationships.


Question 5

Topic: visualization

Executives need quick comparison of profit by product category and region. What should guide visual choice?

  • A. The decision the viewer must make and the clearest chart for comparison.
  • B. Use every visual type at once.
  • C. Prefer decoration over clarity.
  • D. Hide labels and context.

Best answer: A

Explanation: PL-300 rewards clear data storytelling and appropriate visual selection.

What this tests: Choosing effective visuals.


Question 6

Topic: row-level security

Regional managers should see only their own region’s data. What should be implemented?

  • A. One shared admin account.
  • B. Row-level security roles and testing with representative users.
  • C. A page filter users can remove.
  • D. Public report access.

Best answer: B

Explanation: RLS enforces data access at model level when properly designed and tested.

What this tests: Implementing report security.


Question 7

Topic: refresh

A report shows stale data after source updates. What should be checked?

  • A. Only visual colors.
  • B. A local printer driver.
  • C. Dataset refresh schedule, credentials, gateway status, and source query errors.
  • D. The report title length.

Best answer: C

Explanation: Refresh issues often involve schedule, credentials, gateway, source errors, or capacity constraints.

What this tests: Troubleshooting refresh problems.


Question 8

Topic: Power Query

A source column needs splitting and standardization before load. Where is this usually handled?

  • A. A Teams meeting policy.
  • B. A browser extension.
  • C. A local screenshot.
  • D. Power Query transformations.

Best answer: D

Explanation: Power Query is used for extract, transform, and load steps before modeling.

What this tests: Using Power Query for transformation.


Question 9

Topic: workspace governance

A report must be reviewed before business users see it. What should be planned?

  • A. Workspace roles, endorsement, deployment pipelines, and release process.
  • B. Everyone as workspace admin.
  • C. No review process.
  • D. Publishing from a personal workspace only.

Best answer: A

Explanation: Power BI governance includes workspace roles and controlled publication.

What this tests: Managing report lifecycle and governance.


Question 10

Topic: performance analyzer

Users complain one report page is slow. What should the analyst use?

  • A. Guess without data.
  • B. Performance tools and query diagnostics to identify slow visuals or model issues.
  • C. Delete unrelated dashboards.
  • D. Disable security.

Best answer: B

Explanation: Performance analysis should identify whether visuals, DAX, model design, or source queries are causing delays.

What this tests: Optimizing report performance.


Question 11

Topic: business metric

A revenue measure is defined differently by sales and finance. What should the analyst do?

  • A. Choose one secretly.
  • B. Publish both without labels.
  • C. Align metric definition, calculation, owner, and documentation before publishing.
  • D. Avoid documentation.

Best answer: C

Explanation: Trusted analytics depend on agreed definitions and governance.

What this tests: Managing metric definitions.


Question 12

Topic: route fit

A candidate prepares data, builds semantic models, writes DAX, and publishes Power BI reports. Which route is closest?

  • A. PL-500 only.
  • B. AZ-700 only.
  • C. SC-300 only.
  • D. PL-300.

Best answer: D

Explanation: PL-300 is the Microsoft Power BI Data Analyst route.

What this tests: Choosing the Power BI data analyst route.


PL-300 Power BI analysis map

Use this map to connect the sample questions to the Power Platform decisions this route usually tests.

    flowchart LR
	  S1["Identify business question"] --> S2
	  S2["Prepare and clean data"] --> S3
	  S3["Model relationships and measures"] --> S4
	  S4["Build report visuals"] --> S5
	  S5["Publish and secure workspace"] --> S6
	  S6["Monitor refresh and adoption"]

Quick Cheat Sheet

CueWhat to remember
Data prepClean, shape, and combine data before modeling.
ModelingDesign relationships, star schema patterns, measures, and hierarchies for accurate analysis.
DAXUse measures and filter context carefully rather than forcing logic into visuals.
VisualizationChoose visuals that answer the business question clearly and accessibly.
DeploymentPlan workspaces, refresh, row-level security, sharing, and adoption.

Mini Glossary

  • DAX: Formula language used for Power BI measures and calculations.
  • Measure: Reusable calculation evaluated in report filter context.
  • Power Query: Data preparation and transformation experience used by Power BI.
  • RLS: Row-level security restricting visible data by user context.
  • Semantic model: Published Power BI data model used by reports and analysis.

Microsoft PL-300 practice update

Use this page to review PL-300 sample questions and use the Notify me form for updates. The related pages below help you compare adjacent IT Mastery Power Platform practice options before choosing what to study next.

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Revised on Monday, May 25, 2026