Practice Exam
DAX

DAX

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DAX

 

The Data Analysis Expressions (DAX) exam evaluates candidates' proficiency in using DAX formulas and functions for data analysis and calculation tasks in Microsoft Power BI and Excel. DAX is a formula language used to define custom calculations, manipulate data, and create calculated columns and measures in Power BI and Excel Power Pivot. This exam covers essential principles, techniques, and functions related to DAX for data modeling, analysis, and visualization.

 

Who should take the exam?

  • Data Analysts: Analysts responsible for performing data analysis, modeling, and reporting tasks using Power BI and Excel.
  • Business Intelligence Professionals: BI professionals involved in designing and developing BI solutions, dashboards, and reports using Power BI and Excel Power Pivot.
  • Excel Power Users: Excel users interested in leveraging advanced data analysis and modeling capabilities using DAX formulas and functions.
  • Power BI Developers: Developers responsible for building and customizing Power BI solutions, reports, and dashboards using DAX.
  • Anyone Interested in Data Analysis: Individuals passionate about data analysis and visualization who want to learn DAX for deriving insights from data.

 

Course Outline

The DAX exam covers the following topics :-

 

  • Module 1: Introduction to DAX
  • Module 2: Understanding DAX Functions and Formulas
  • Module 3: Understanding Data Modeling with DAX
  • Module 4: Understanding Advanced Data Analysis with DAX
  • Module 5: Understanding DAX in Visualization and Reporting
  • Module 6: Understanding Problem-Solving with DAX
  • Module 7: Understanding DAX Optimization and Performance Tuning
  • Module 8: Understanding DAX Data Modeling Certification Exam Preparation

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DAX FAQs

The exam is ideal for data analysts, business intelligence professionals, Excel users, and anyone involved in creating and managing data models using Microsoft Power BI or SSAS who wants to deepen their knowledge of DAX.

The exam covers a wide range of topics including basic DAX functions, advanced calculations, time intelligence, data model optimization, debugging, and working with relationships between tables.

The DAX exam assesses a candidate's ability to apply DAX formulas for data analysis, develop efficient models, and create advanced calculations in Power BI, Excel, and SQL Server Analysis Services (SSAS).

Candidates should have strong analytical skills, proficiency in data modeling, knowledge of DAX functions and their application, and the ability to create efficient data models for business intelligence applications.

While prior experience with Power BI, SSAS, or Excel is beneficial, it is not mandatory. The exam focuses on your ability to use DAX functions for analysis, and the core skills can be learned during preparation.

Recommended resources include official documentation from Microsoft, online courses, books on DAX and data modeling, practice exams, and hands-on experience with Power BI and Excel for applying DAX in real-world scenarios.

The DAX exam typically lasts between 90 and 120 minutes and includes a combination of multiple-choice questions, case studies, and practical exercises that assess your ability to apply DAX formulas.

Yes, the exam includes practical case studies and scenario-based questions where candidates must apply their DAX knowledge to solve business-related problems, such as creating financial models or generating performance reports.

After passing the DAX exam, candidates can pursue careers as data analysts, business intelligence professionals, Power BI developers, and data modelers, with opportunities to work in finance, healthcare, marketing, and various other industries that rely on data-driven decision-making.

The passing score for the DAX exam generally ranges from 70% to 80%, depending on the certification body. It is essential to understand the specific requirements set by the exam provider before attempting the test.