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  • Total Questions: 150
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What should you know about the Microsoft DA-100 exam before going for it?

The intended candidates for the Microsoft DA-100 exam are Data Analysts. These professionals help the organizations make the most of the value of data assets through the use of Microsoft Power BI. They also collaborate with the major stakeholders across the company to deliver the appropriate insights based on the recognized business prerequisites.

Microsoft DA-100 is an associate-level certification test, and as such, it does not have any official prerequisites. However, Microsoft recommends that the students have a good fundamental knowledge of data processing and data repositories both in Cloud and on-premises. The candidates for the exam should have the relevant skills in building and designing scalable data models, facilitating advanced analytic abilities, and transforming and cleaning data to provide significant business value through understandable data visualizations.

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Certification Path for Exam DA-100: Analyzing Data with Microsoft Power BI

Analyzing Data with Microsoft Power BI is a fundamental exam and there are no pre-requisites. Successful candidates will get Microsoft Certified: Data Analyst Associate title.

Nobody wants to be stranded in the same position in his or her company. And nobody wants to be a normal person forever. Maybe you want to get the Microsoft certification, but daily work and long-time traffic make you busier to improve yourself. However, there is a piece of good news for you. Thanks to our DA-100 training materials, you can learn for your Microsoft certification anytime, everywhere. If you get our products, you will surely find a better self. As we all know, the best way to gain confidence is to do something successfully. With our study materials, you will easily pass the Analyzing Data with Microsoft Power BI examination and gain more confidence. Now let's see our products together.

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About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

If you are a data analyst striving to get your skills validated in the scope of data assets, transformations, and models, then the Microsoft DA-100 exam is the one that will assist you with this.

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

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Microsoft DA-100 Exam Syllabus Topics:

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

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