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Real Microsoft DA-100 Deutsch practice exam questions for easy pass!

Updated: Sep 01, 2026

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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Prepare the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

  • Use or create a PBIDS file
  • Identify data anomalies
  • Resolve data import errors
  • Use Microsoft Dataverse
  • Identify query performance issues
  • Use or create a data flow
  • Configure data loading
  • Choose an appropriate query type
  • Use parameters
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Leverage Advanced Editor to modify Power Query M code
  • Apply data shape transformations to table structures
  • Identify and connect to a data source
  • Change data source settings
  • Select a shared dataset or create a local dataset
  • Interrogate data statistics
  • Evaluate and transform column data types
  • Combine queries
  • Select a storage mode
  • Apply user-friendly value replacements
  • Examine data structures
  • Interrogate column properties
  • Apply user-friendly naming conventions to columns and queries
  • Identify and create appropriate keys for joins

Microsoft DA-100 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Analyzing Data with Microsoft Power BI
Exam Number:DA-100
Related Certifications:Microsoft Certified: Data Analyst Associate
Exam Duration:120 minutes
Available Languages:English, Arabic (Saudi Arabia), Italian, Japanese, French, Chinese (Simplified), Portuguese (Brazil), Korean, Spanish, German, Chinese (Traditional)
Passing Score:700
Exam Format:Case study, Drag and drop, Multiple choice, Build list, Multiple response
Exam Price:USD 165
Real Exam Qty:40-60
Certificate Validity Period:Certification valid for one year, renewable
Sample Questions:Microsoft DA-100 Deutsch Sample Questions
Exam Way:Online (proctored) or Onsite at a Pearson VUE testing center
Pre Condition:Familiarity with data concepts and experience with data analysis
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/

Exam Topics

Microsoft expects that the successful candidates get the passing score of 720 points on a scale of 100-1000. This mark is achievable if you put your mind to it. To succeed, you must understand the Microsoft DA-100 exam topics that are as follows:

1. Data Preparation (20-25%):

This part includes the following areas:

  • Data profile: The test takers should have competence in interrogating data statistics and column properties as well as identifying data anomalies and evaluating data structures.
  • Collecting data from various data sources: The candidates must be able to connect and identify data sources, alternate data source settings, and choose storage mode and shared datasets, or build local datasets. They also need the capacity to select the relevant query type, utilize parameters, Microsoft Dataverse, create or use PBIDS files, and data flow.
  • Cleaning, loading, & transforming data: This subject area requires that the students understand how to combine queries, utilize user-friendly value substitutions, solve data import errors, transform and measure column data types, and configure the data loading. It also covers their skills in applying data shape transformations for table structures and user-friendly conventional naming for queries and columns. The individuals should also have the expertise in leveraging Advanced Editor or modifying Power Query M-code.

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

Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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