Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version): DA-100 Exam


"Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)", also known as DA-100 exam, is a Microsoft Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 150 Q&As to your DA-100 Exam preparation. In the DA-100 exam resources, you will cover every field and category in Microsoft Certified: Data Analyst Associate Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Total Questions: 150

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2. Data Model (25-30%):

The main domains of this section are:

  • 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.
  • 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.
  • 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 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.

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.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Deploy and maintain deliverables10%- Manage datasets
  • 1. Configure row-level security group membership
  • 2. Configure a dataset scheduled refresh
  • 3. Provide access to datasets
  • 4. Configure cross-workspace sharing
- Create and manage workspaces
  • 1. Assign workspace roles
  • 2. Configure and update a workspace app
  • 3. Create and configure a workspace
Model the data30%- Develop a data model
  • 1. Create calculated tables
  • 2. Implement row-level security roles
  • 3. Create hierarchies
  • 4. Create calculated columns
- Optimize model performance
  • 1. Improve performance by identifying and removing unnecessary rows and columns
  • 2. Optimize Power Query transformations
  • 3. Improve performance by choosing optimal data types
- Create measures by using DAX
  • 1. Use DAX logical functions
  • 2. Use DAX aggregation functions
  • 3. Create calculated measures
  • 4. Create semi-additive measures
  • 5. Implement Time Intelligence using DAX
- Design a data model
  • 1. Configure table and column properties
  • 2. Define the tables
  • 3. Design and implement role-playing dimensions
  • 4. Define a relationship's cross-filter direction and security filtering
  • 5. Define quick measures
Prepare the data20%- Transform and load the data
  • 1. Create and transform columns
  • 2. Define relationship cardinality and cross-filter direction
  • 3. Design a star schema
  • 4. Create and transform tables
  • 5. Select appropriate column data types
- Profile the data
  • 1. Identify data anomalies
  • 2. Interpret data distribution and variance
  • 3. Examine data structures
- Clean the data
  • 1. Resolve data import errors
  • 2. Evaluate data, including data statistics and column properties
  • 3. Resolve inconsistencies, unexpected or null values, and data quality issues
- Get data from different data sources
  • 1. Select a shared dataset or create a local dataset
  • 2. Select a storage mode
  • 3. Choose an appropriate Power BI data source
  • 4. Change data source settings
  • 5. Identify and connect to a data source
Analyze the data15%- Perform advanced analysis
  • 1. Identify outliers
  • 2. Use the Analyze feature
  • 3. Use advanced analytical custom visuals
  • 4. Perform What-if analysis
- Enhance reports for usability and storytelling
  • 1. Create custom tooltips
  • 2. Configure bookmarks
  • 3. Edit and configure interactions between visuals
  • 4. Configure navigation for a report
  • 5. Apply sorting
  • 6. Group and layer visuals
  • 7. Configure sync slicers
Visualize the data25%- Create reports
  • 1. Format and configure visualizations
  • 2. Create and manage bookmarks
  • 3. Import a custom visual
  • 4. Choose an appropriate visualization type
  • 5. Apply slicing and filtering
  • 6. Add visualization items to reports
  • 7. Configure conditional formatting
- Enforce accessibility
  • 1. Configure tab order
  • 2. Use accessibility features
  • 3. Design accessible reports
- Create dashboards
  • 1. Manage tiles on a dashboard
  • 2. Configure data alerts
  • 3. Set mobile view
  • 4. Use the Q&A feature

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