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4. Data Analysis (10-15%):

This section requires your skills in:

• Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.
• Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.

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

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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:

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

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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 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.
• 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.

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