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The DA-100 exam is an essential certification for professionals who work with large amounts of data and want to enhance their career prospects. Analyzing Data with Microsoft Power BI certification demonstrates that the candidate is proficient in using Power BI to analyze data and generate insights that can drive business decisions. Analyzing Data with Microsoft Power BI certification is also valuable for organizations that use Power BI as their primary data analytics tool.

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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:

  • Create measures by using DAX
  • Design the data model to meet performance requirements
  • Configure table and column properties
  • Resolve many-to-many relationships
  • Replace numeric columns with measures
  • Define the appropriate level of data granularity
  • Create hierarchies
  • Use basic statistical functions to enhance data
  • Use CALCULATE to manipulate filters
  • Implement Time Intelligence using DAX
  • Create calculated tables
  • Define quick measures
  • Create semi-additive measures
  • Improve cardinality levels through summarization
  • Apply cross-filter direction and security filtering
  • Improve cardinality levels by changing data types
  • Create and manage aggregations
  • Use DAX to build complex measures
  • Create calculated columns
  • Identify poorly performing measures, relationships, and visuals
  • Flatten out a parent-child hierarchy
  • Develop a data model
  • Define the tables
  • Create a common date table
  • Implement row-level security roles
  • Define a relationship's cardinality and cross-filter direction
  • Remove unnecessary rows and columns
  • Optimize model performance
  • Design a data model
  • Set up the Q&A feature
  • Define role-playing dimensions

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Becoming Microsoft DA-100 certified has several benefits. It helps individuals to enhance their career prospects and increase their earning potential. It also demonstrates their commitment to excellence and their ability to use data-driven insights to make informed business decisions. Additionally, the certification provides access to a vast community of Microsoft Power BI professionals and resources, including training, webinars, and conferences.

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

4. Data Analysis (10-15%):

This section requires your skills in:

  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.

Microsoft DA-100 Exam Syllabus Topics:

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

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