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Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI
However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.
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Exam Details
Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.
The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.
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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:
- Remove unnecessary rows and columns
- Resolve many-to-many relationships
- Implement Time Intelligence using DAX
- Use DAX to build complex measures
- Flatten out a parent-child hierarchy
- Set up the Q&A feature
- Develop a data model
- Define the appropriate level of data granularity
- Replace numeric columns with measures
- Define the tables
- Create hierarchies
- Create calculated columns
- Define role-playing dimensions
- Define quick measures
- Define a relationship's cardinality and cross-filter direction
- Design the data model to meet performance requirements
- Create a common date table
- Improve cardinality levels through summarization
- Implement row-level security roles
- Create semi-additive measures
- Use basic statistical functions to enhance data
- Identify poorly performing measures, relationships, and visuals
- Create and manage aggregations
- Create calculated tables
- Create measures by using DAX
- Improve cardinality levels by changing data types
- Use CALCULATE to manipulate filters
- Apply cross-filter direction and security filtering
- Design a data model
- Optimize model performance
- Configure table and column properties
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100








