Exam Code: DA-100
Exam Name: Analyzing Data with Microsoft Power BI
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Data Analyst Associate
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Difficulty in Attempting Exam DA-100: Analyzing Data with Microsoft Power BI

However, if you would like to use different source data/tables in the same project, link them together and perform transformations on the data in Power BI as well, then the level of difficulty increases. Learning this will take of course more time. What we believe will also help is to get a general understanding of how data cleansing works and data integration in general. We offer MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test for this purpose.

Analyzing Data with Microsoft Power BI Certification helps candidates in developing their professionals and academic career and it is a very tough task to pass Microsoft DA-100 exam for those candidates who have not done hard work and get some relevant Microsoft DA-100 exam preparation material. There are many peoples have passed Microsoft DA-100 exam by following these three things such as look for the latest Microsoft DA-100 exam dumps, get relevant MICROSOFT DA-100 exam dumps and develop their knowledge about Microsoft DA-100 exam new questions. At the same time, it can also stress out some people as they found passing Microsoft DA-100 exam a tough task. It is just a wrong assumption as many of the peoples have passed Microsoft DA-100 exam questions. All you have to do is to work hard, get some relevant Microsoft DA-100 exam preparation material and go thoroughly from them.

Compared to other visualization tools we would recommend that Power BI is quite user friendly and is relatively easy to learn. What also contributes to this is that the Power BI desktop version is available for free, resulting in a pretty large user base on the internet, which is beneficial to your learning curve, as in our experience answers to particular questions can be found easily most of the times.

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

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The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

Certification Opportunities

Upon completion of this single exam and obtaining the certification, the path doesn’t end. The candidates can pursue other Microsoft certificates to expand their competence area. These include the options such as Microsoft Certified: Azure Data Engineer Associate and Microsoft Certified: Azure Data Scientist Associate, to name a few.

Microsoft DA-100 Exam Syllabus Topics:

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

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