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

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

• Set up the Q&A feature
• Create calculated tables
• Configure table and column properties
• Resolve many-to-many relationships
• Define quick measures
• Identify poorly performing measures, relationships, and visuals
• Use basic statistical functions to enhance data
• Improve cardinality levels through summarization
• Use CALCULATE to manipulate filters
• Apply cross-filter direction and security filtering
• Implement Time Intelligence using DAX
• Create a common date table
• Create calculated columns
• Remove unnecessary rows and columns
• Implement row-level security roles
• Use DAX to build complex measures
• Flatten out a parent-child hierarchy
• Define role-playing dimensions
• Define the tables
• Improve cardinality levels by changing data types
• Create measures by using DAX
• Optimize model performance
• Design the data model to meet performance requirements
• Design a data model
• Define a relationship's cardinality and cross-filter direction
• Create semi-additive measures
• Create hierarchies
• Replace numeric columns with measures
• Create and manage aggregations
• Develop a data model
• Define the appropriate level of data granularity

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

2. Data Model (25-30%):

The main domains of this section are:

• 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.
• 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.
• 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.

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Microsoft DA-100 Exam Syllabus Topics: