PL-300: Microsoft Power BI Data Analyst - May 2025
3 months ago
IT & Software
[100% OFF] PL-300: Microsoft Power BI Data Analyst - May 2025

Prepare for Success with1300+ other students - 410+ Updated PL-300 Practice Tests with Explanations

4.9
1,380 students
Certificate
English
$0$34.99
100% OFF

Course Description

Skills at a glance

  • Prepare the data (25–30%)

  • Model the data (25–30%)

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

  • Manage and secure Power BI (15–20%)

Prepare the data (25–30%)

Model the data (25–30%)

Visualize and analyze the data (25–30%)

Manage and secure Power BI (15–20%)

Prepare the data (25–30%)

Get or connect to data

  • Identify and connect to data sources or a shared semantic model

  • Change data source settings, including credentials and privacy levels

  • Choose between DirectQuery and Import

  • Create and modify parameters

Identify and connect to data sources or a shared semantic model

Change data source settings, including credentials and privacy levels

Choose between DirectQuery and Import

Create and modify parameters

Profile and 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

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

  • Group and aggregate rows

  • Pivot, unpivot, and transpose data

  • Convert semi-structured data to a table

  • Create fact tables and dimension tables

  • 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

Select appropriate column data types

Create and transform columns

Group and aggregate rows

Pivot, unpivot, and transpose data

Convert semi-structured data to a table

Create fact tables and dimension tables

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

  • Identify use cases for calculated columns and calculated tables

Configure table and column properties

Implement role-playing dimensions

Define a relationship's cardinality and cross-filter direction

Create a common date table

Identify use cases for calculated columns and calculated tables

Create model calculations by using DAX

  • Create single aggregation measures

  • Use the CALCULATE function

  • Implement time intelligence measures

  • Use basic statistical functions

  • Create semi-additive measures

  • Create a measure by using quick measures

  • Create calculated tables or columns

  • Create calculation groups

Create single aggregation measures

Use the CALCULATE function

Implement time intelligence measures

Use basic statistical functions

Create semi-additive measures

Create a measure by using quick measures

Create calculated tables or columns

Create calculation groups

Optimize model performance

  • Improve performance by identifying and removing unnecessary rows and columns

  • Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view

  • Improve performance by reducing granularity

Improve performance by identifying and removing unnecessary rows and columns

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

Improve performance by reducing granularity

Visualize and analyze the data (25–30%)

Create reports

  • Select an appropriate visual

  • Format and configure visuals

  • Apply and customize a theme

  • Apply conditional formatting

  • Apply slicing and filtering

  • Configure the report page

  • Choose when to use a paginated report

  • Create visual calculations by using DAX

Select an appropriate visual

Format and configure visuals

Apply and customize a theme

Apply conditional formatting

Apply slicing and filtering

Configure the report page

Choose when to use a paginated report

Create visual calculations by using DAX

Enhance reports for usability and storytelling

  • Configure bookmarks

  • Create custom tooltips

  • Edit and configure interactions between visuals

  • Configure navigation for a report

  • Apply sorting to visuals

  • Configure sync slicers

  • Group and layer visuals by using the Selection pane

  • Configure drill through navigation

  • Configure export settings

  • Design reports for mobile devices

  • Enable personalized visuals in a report

  • Design and configure Power BI reports for accessibility

  • Configure automatic page refresh

Configure bookmarks

Create custom tooltips

Edit and configure interactions between visuals

Configure navigation for a report

Apply sorting to visuals

Configure sync slicers

Group and layer visuals by using the Selection pane

Configure drill through navigation

Configure export settings

Design reports for mobile devices

Enable personalized visuals in a report

Design and configure Power BI reports for accessibility

Configure automatic page refresh

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

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

Manage and secure Power BI (15–20%)

Create and manage workspaces and assets

  • Create and configure a workspace

  • Configure and update a workspace app

  • Publish, import, or update items in a workspace

  • Create dashboards

  • Choose a distribution method

  • Configure subscriptions and data alerts

  • Promote or certify Power BI content

  • Identify when a gateway is required

  • Configure a semantic model scheduled refresh

Create and configure a workspace

Configure and update a workspace app

Publish, import, or update items in a workspace

Create dashboards

Choose a distribution method

Configure subscriptions and data alerts

Promote or certify Power BI content

Identify when a gateway is required

Configure a semantic model scheduled refresh

Secure and govern Power BI items

  • Assign workspace roles

  • Configure item-level access

  • Configure access to semantic models

  • Implement row-level security roles

  • Configure row-level security group membership

  • Apply sensitivity labels

Assign workspace roles

Configure item-level access

Configure access to semantic models

Implement row-level security roles

Configure row-level security group membership

Apply sensitivity labels


Similar Courses