PL-300 Microsoft Power BI Data Analyst Practice Exam : 2025

About PL-300 Microsoft Power BI Data Analyst Practice Exam : 2025

These practice questions are ideal if you intend to take the PL-300 Exam and want to see what kinds of questions will be on the Microsoft Power BI Data Analyst (PL-300) - Real Exam.

_Microsoft Power BI Data Analyst (PL-300)_ Certification Practice Exam details:

Exam Name :

Microsoft Certified - Power BI Data Analyst Associate

Exam Code :

PL-300

Exam Fee

$165 (USD)

Number of Questions:

Maximum of 40-60 questions,

Type of Questions:

Multiple Choice Questions (single and multiple response), drag and drops and performance-based,

Length of Test:

180 Minutes. The exam is available in English, German, and Japanese languages.

Passing Score

700 / 1000

Languages :

English at launch.

Schedule Exam :

Pearson VUE

_Microsoft Power BI Data Analyst (PL-300) Certification Exams skill questions:_

#) Prepare the data (25–30%)

Get data from data sources

Identify and connect to a data source

Change data source settings, including credentials, privacy levels, and data source locations

Select a shared dataset, or create a local dataset

Choose between DirectQuery, Import, and Dual mode

Change the value in a parameter

Clean the data

Evaluate data, including data statistics and column properties

Resolve inconsistencies, unexpected or null values, and data quality issues

Resolve data import errors

Transform and load the data

Select appropriate column data types

Create and transform columns

Transform a query

Design a star schema that contains facts and dimensions

Identify when to use reference or duplicate queries and the resulting impact

Merge and append queries

Identify and create appropriate keys for relationships

Configure data loading for queries

#) Model the data (25–30%)

Design and implement a data model

Configure table and column properties

Implement role-playing dimensions

Define a relationship's cardinality and cross-filter direction

Create a common date table

Implement row-level security roles

Create model calculations by using DAX

Create single aggregation measures

Use CALCULATE to manipulate filters

Implement time intelligence measures

Identify implicit measures and replace with explicit measures

Use basic statistical functions

Create semi-additive measures

Create a measure by using quick measures

Create calculated tables

Optimize model performance

Improve performance by identifying and removing unnecessary rows and columns

Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

Improve performance by choosing optimal data types

Improve performance by summarizing data

#) Visualize and analyze the data (25–30%)

Create reports

Identify and implement appropriate visualizations

Format and configure visualizations

Use a custom visual

Apply and customize a theme

Configure conditional formatting

Apply slicing and filtering

Configure the report page

Use the Analyze in Excel feature

Choose when to use a paginated report

Enhance reports for usability and storytelling

Configure bookmarks

Create custom tool-tips

Edit and configure interactions between visuals

Configure navigation for a report

Apply sorting

Configure sync slicers

Group and layer visuals by using the Selection pane

Drill down into data using interactive visuals

Configure export of report content, and perform an export

Design reports for mobile devices

Incorporate the Q&A feature in a report

Identify patterns and trends

Use the Analyze feature in Power BI

Use grouping, binning, and clustering

Use AI visuals

Use reference lines, error bars, and forecasting

Detect outliers and anomalies

Create and share scorecards and metrics

#) Deploy and maintain assets (15–20%)

Create and manage work-spaces and assets

Create and configure a workspace

Assign workspace roles

Configure and update a workspace app

Publish, import, or update assets in a workspace

Create dashboards

Choose a distribution method

Apply sensitivity labels to workspace content

Configure subscriptions and data alerts

Promote or certify Power BI content

Manage global options for files

Manage datasets

Identify when a gateway is required

Configure a dataset scheduled refresh

Configure row-level security group membership

Provide access to datasets Candidates for this exam deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics, and deploy and configure solutions for consumption. The Power BI data analyst works closely with business stakeholders to identify business requirements. They collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI.