Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Visualize the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

• Enrich reports for usability
• Create reports
• Export report data
• Configure conditional formatting
• Configure Sync Slicers
• Configure bookmarks
• Import a custom visual
• Format and configure visualizations
• Use the Q&A feature
• Apply slicing and filtering
• Add a dashboard theme
• Configure data classification
• Pin a live report page to a dashboard
• Configure the report page
• Use drillthrough and cross filter
• Add visualization items to reports
• Configure data alerts
• Set mobile view
• Configure navigation for a report
• Manage tiles on a dashboard
• Create dashboards
• Configure automatic page refresh
• Use the selection pane
• Add an R or Python visual
• Design and configure for accessibility
• Create custom tooltips
• Apply sorting
• Design reports for mobile devices
• Choose an appropriate visualization type
• Edit and configure interactions between visuals
• Drilldown into data using interactive visuals

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2. Data Model (25-30%):

The main domains of this section are:

• Creation of measures with DAX: The applicants should be able to utilize DAX in building multifaceted measures, use CALCULATE to maneuver filters, and utilize the fundamental statistical functions for enhancing data. This domain also requires their skills in creating semi-additive measures and implementing Time Intelligence with DAX.
• Data model development: This objective requires one’s ability to create hierarchies, calculated tables, and calculated columns. It also covers your skills in establishing Q&A features, implementing row-level security functions, and applying security filtering and cross-filter direction.
• Model performance optimization: This module will measure your competence in enhancing cardinality levels through changing data types and summarization. It will also evaluate your skills in eliminating unnecessary columns and rows, creating and managing aggregations, and identifying poorly performing visuals, measures, and relationships.
• Data model design: The learners need to have competence in defining tables, role-playing dimensions, quick measures, and cross-filter direction & relationship cardinality. The topic also requires their skills in designing a data model to fulfill the performance prerequisites, creating common data tables, and solving many-to-many relationships.

Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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