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Microsoft PL-300 Exam Syllabus

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Before starting your PL-300 exam preparation, it is recommended to review the complete Microsoft Power BI Data Analyst exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free PL-300 questions. We also provide premium PL-300 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Vendor
PL-300
Exam Code
470
Total Questions
4
Total Exam Domains

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PL-300 EXAM QUESTIONS

Microsoft PL-300 Exam Objectives

Section 1: Prepare the data
Weight:
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 DirectLake, 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

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
Section 2: Model the data
Weight:
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
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
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
Section 3: Visualize and analyze the data
Weight:
25-30%
Create reports
  • Select an appropriate visual
  • Format and configure visuals
  • Create a narrative visual with Copilot
  • Apply and customize a theme
  • Apply conditional formatting
  • Apply slicing and filtering
  • Use Copilot to create a new report page
  • Use Copilot to suggest content for a new report page
  • 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 drillthrough navigation, including pages, filters, and buttons
  • Configure export settings
  • Design reports for mobile devices
  • Enable personalization in a report, including personalized visuals
  • 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 Copilot to summarize the underlying semantic model
Section 4: Manage and secure Power BI
Weight:
15-20%
Create and manage workspaces and assets
  • Create and configure a workspace
  • Configure and update an 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
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