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Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

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

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2. Data Model (25-30%):

The main domains of this section are:

• 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.
• 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.
• 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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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:

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

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.

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