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Microsoft PL-300 Exam Syllabus

Microsoft PL-300 Exam

Microsoft Power BI Data Analyst

Total Questions: 335

What is Included in the Microsoft PL-300 Exam?

Authentic information about the syllabus and an effective study guide is essential to go through the Microsoft PL-300 exam in the first attempt. The study guide of Study4Exam provides you with comprehensive information about the syllabus of the Microsoft PL-300 exam. You should get this information at the start of your preparation because it helps you make an effective study plan. We have designed this Microsoft Power BI Data Analyst Associate certification exam preparation guide to give the exam overview, practice questions, practice test, prerequisites, and information about exam topics that help to go through the Microsoft Power BI Data Analyst (2022) exam. We recommend you to the preparation material mentioned in this study guide to cover the entire Microsoft PL-300 syllabus. Study4Exam offers 3 formats of Microsoft PL-300 exam preparation material. Each format provides new practice questions in PDF format, web-based and desktop practice exams to get passing marks in the first attempt.

Microsoft PL-300 Exam Overview :

Exam Name Microsoft Power BI Data Analyst
Exam Code PL-300
Exam Registration Price $165
Official Information https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
See Expected Questions Microsoft PL-300 Expected Questions in Actual Exam
Take Self-Assessment Use Microsoft PL-300 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Microsoft PL-300 Exam Topics :

Section Weight Objectives
Prepare the Data 15-20% Get data from different data sources
  •  identify and connect to a data source
  •  change data source settings
  •  select a shared dataset or create a local dataset
  •  select a storage mode
  •  use Microsoft Dataverse
  •  change the value in a parameter
  •  connect to a data flow

Clean, transform, and load the data
  •  profile the data
  •  resolve inconsistencies, unexpected or null values, and data quality issues
  •  identify and create appropriate keys for joins
  •  evaluate and transform column data types
  •  shape and transform tables
  •  combine queries
  •  apply user-friendly naming conventions to columns and queries
  •  configure data loading
  •  resolve data import errors
Model the Data 30–35% Design a data model
  •  define the tables
  •  configure table and column properties
  •  design and implement role-playing dimensions
  •  define a relationship's cardinality and cross-filter direction
  •  design a data model that uses a star schema
  •  create a common date table
Develop a data model
  •  create calculated tables
  •  create hierarchies
  •  create calculated columns
  •  implement row-level security roles
  •  use the Q&A feature
Create model calculations by using DAX
  •  create basic measures by using DAX
  •  use CALCULATE to manipulate filters
  •  implement Time Intelligence using DAX
  •  replace implicit measures with explicit measures
  •  use basic statistical functions
  •  create semi-additive measures
  •  use quick measures
Optimize model performance
  •  remove unnecessary rows and columns
  •  identify poorly performing measures, relationships, and visuals
  •  reduce cardinality levels to improve performance
Visualize and Analyze the Data 25—30% Create reports
  •  add visualization items to reports
  •  choose an appropriate visualization type
  •  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
Create dashboards
  •  manage tiles on a dashboard
  •  configure mobile view
  •  use the Q&A feature
  •  add a Quick Insights result to a dashboard
  •  apply a dashboard theme
  •  pin a live report page to a dashboard
Enhance reports for usability and storytelling
  •  configure bookmarks
  •  create custom tooltips
  •  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
  •  drilldown into data using interactive visuals
  •  export report data
  •  design reports for mobile devices
Identify patterns and trends
  •  use the Analyze feature in Power BI
  •  identify outliers
  •  choose between continuous and categorical axes
  •  use groupings, binnings, and clustering
  •  use AI visuals
  •  use the Forecast feature
  •  create reference lines by using the Analytics pane
Deploy and Maintain Assets 20—25% Manage files and datasets
  •  identify when a gateway is required
  •  configure a dataset scheduled refresh
  •  configure row-level security group membership
  •  provide access to datasets
  •  manage global options for files

Manage workspaces
  •  create and configure a workspace
  •  assign workspace roles
  •  configure and update a workspace app
  •  publish, import, or update assets in a workspace
  •  apply sensitivity labels to workspace content
  •  configure subscriptions and data alerts
  •  promote or certify Power BI content

Updates in the Microsoft PL-300 Exam Syllabus:

Microsoft PL-300 exam questions and practice test are the best ways to get fully prepared. Study4exam's trusted preparation material consists of both practice questions and practice test. To pass the actual Power BI Data Analyst Associate PL-300 exam on the first attempt, you need to put in hard work on these Microsoft PL-300 questions that provide updated information about the entire exam syllabus. Besides studying actual questions, you should take the Microsoft PL-300 practice test for self-assessment and actual exam simulation. Revise actual exam questions and remove your mistakes with the Microsoft Power BI Data Analyst PL-300 exam practice test. Online and windows-based formats of the PL-300 exam practice test are available for self-assessment.