Microsoft DA-100 Deutsch exam - in .pdf

DA-100 Deutsch pdf
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
  • PDF Price: $69.99
  • PDF Demo

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  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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Microsoft DA-100 Deutsch exam - Testing Engine

DA-100 Deutsch Testing Engine
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
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Analyzing Data with Microsoft Power BI Exam Certification Details:

Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions
Exam CodeDA-100
Schedule ExamPearson VUE
Number of Questions40-60
Exam NameMicrosoft Certified - Data Analyst Associate
Duration180 mins
Exam Price$165 (USD)
Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Passing Score700 / 1000

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

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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.

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Microsoft DA-100 Deutsch Exam Syllabus Topics:

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

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