Microsoft Power BI Data Analyst (MCA Data Analyst) Exam Syllabus

Power BI Data Analyst PDF, PL-300 Dumps, PL-300 PDF, Power BI Data Analyst VCE, PL-300 Questions PDF, Microsoft PL-300 VCE, Microsoft MCA Data Analyst Dumps, Microsoft MCA Data Analyst PDFUse this quick start guide to collect all the information about Microsoft Power BI Data Analyst (PL-300) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the PL-300 Microsoft Power BI Data Analyst exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft MCA Data Analyst certification exam.

The Microsoft Power BI Data Analyst certification is mainly targeted to those candidates who want to build their career in Microsoft Power BI domain. The Microsoft Certified - Power BI Data Analyst Associate exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft MCA Data Analyst.

Microsoft Power BI Data Analyst Exam Summary:

Exam Name Microsoft Certified - Power BI Data Analyst Associate
Exam Code PL-300
Exam Price $165 (USD)
Duration 180 mins
Number of Questions 40-60
Passing Score 700 / 1000
Books / Training Course PL-300T00: Microsoft Power BI Data Analyst
Schedule Exam Pearson VUE
Sample Questions Microsoft Power BI Data Analyst Sample Questions
Practice Exam Microsoft PL-300 Certification Practice Exam

Microsoft PL-300 Exam Syllabus Topics:

Topic Details

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

To ensure success in Microsoft MCA Data Analyst certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Power BI Data Analyst (PL-300) exam.

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