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Target Audience

The potential candidates for the Microsoft DA-100 exam are Data Analysts. These professionals have the responsibility of enabling organizations to optimize their data asset values through the use of Microsoft Power BI. They also have the job responsibility of building and designing scalable data models, facilitating advanced analytics capacities, and transforming and cleaning data. These duties are aimed to offer significant business values through easy-to-understand data visualization. The Data Analysts also partner with the major stakeholders to deliver significant insights according to the identified business prerequisites.

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:

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