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:
- Configure table and column properties
- Use DAX to build complex measures
- Create and manage aggregations
- Identify poorly performing measures, relationships, and visuals
- Flatten out a parent-child hierarchy
- Create calculated tables
- Set up the Q&A feature
- Define a relationship's cardinality and cross-filter direction
- Define the tables
- Develop a data model
- Implement row-level security roles
- Define the appropriate level of data granularity
- Replace numeric columns with measures
- Improve cardinality levels through summarization
- Create calculated columns
- Create hierarchies
- Create a common date table
- Resolve many-to-many relationships
- Create measures by using DAX
- Define quick measures
- Create semi-additive measures
- Apply cross-filter direction and security filtering
- Design a data model
- Use basic statistical functions to enhance data
- Improve cardinality levels by changing data types
- Remove unnecessary rows and columns
- Implement Time Intelligence using DAX
- Design the data model to meet performance requirements
- Define role-playing dimensions
- Use CALCULATE to manipulate filters
- Optimize model performance
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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How can you prepare for the Microsoft DA-100 exam to succeed?
The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:
- Books
The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.
- Instructor-Led Training
Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.
- Free Online Training
The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.
- Practice Test
Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.
The Microsoft DA-100: Analyzing Data with Microsoft Power BI exam measures the capability of the individuals to complete certain technical tasks. These include preparing data, visualizing data, modeling data, analyzing data, and maintaining and deploying deliverables. This is the only test that is required to earn the Microsoft Certified: Data Analyst Associate certification.
Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 25-30% | - Create calculated tables and columns - Create measures using DAX - Optimize model performance - Design and develop data models |
| Topic 2: Prepare the data | 20-25% | - Clean, transform, and load data - Get data from different sources - Profile and examine data |
| Topic 3: Analyze the data | 10-15% | - Apply AI visuals and insights - Perform advanced analysis - Identify patterns and trends |
| Topic 4: Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
| Topic 5: Visualize the data | 20-25% | - Enrich reports for usability - Apply filters, slicers, and formatting - Create reports and dashboards |





