Winter Special Discount 60% Offer - Ends in 0d 00h 00m 00s - Coupon code: brite60

ExamsBrite Dumps

Microsoft Updated PL-300 Exam Blueprint, Syllabus and Topics

Microsoft Power BI Data Analyst

Last Update Dec 14, 2024
Total Questions : 386

You will be glad to know that we serve better with the real exam topics related to your subject. We give you Microsoft Certified: Power BI Data Analyst Associate PL-300 questions answers. You can prepare them easily and quickly. Microsoft PL-300 exam dumps are also available with accurate exam content. All Exam questions of Microsoft Certified: Power BI Data Analyst Associate PL-300 Exam are related to latest Microsoft Power BI Data Analyst topics, let’s take a look:

PL-300 pdf

PL-300 PDF

$46  $114.99
 Add to Cart
PL-300 Engine

PL-300 Testing Engine

$54  $134.99
 Add to Cart
PL-300 PDF + Engine

PL-300 PDF + Testing Engine

$70  $174.99
 Add to Cart

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

PL-300 Exam Topics | PL-300 Questions answers | PL-300 Test Prep | Microsoft Power BI Data Analyst Exam Questions PDF | PL-300 Online Exam | PL-300 Practice Test | PL-300 PDF | PL-300 Test Questions | PL-300 Study Material | PL-300 Exam Preparation | PL-300 Valid Dumps | PL-300 Real Questions | Microsoft Certified: Power BI Data Analyst Associate PL-300 Exam Questions