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PL-300

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PL-300 questions

PL-300

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PL-300

Testing Engine

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  • Questions: 268 questions
  • Last Update: Sep 29, 2022
$45.5  $129.99

Microsoft Exam PL-300 Questions Answers Test Simulator

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A Blend of Knowledge and Practice that is curated by highly-trained professionals to award you a guaranteed success in Identity with Microsoft Certified: Power BI Data Analyst Associate.

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PL-300 Exam Topics

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 QA 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

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