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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.
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.
Ideal Audience and Required Skills
DA-100 is intended for data analysts who use MS Power BI to enhance the value of the data their organization holds. These professionals are responsible for polishing and transforming data, creating expandable data models, and performing data visualizations that can be interpreted and analyzed to withdraw critical information. Data analysts also work alongside other stakeholders of the business to provide relevant data according to their company’s requirements. Thus, a strong prior understanding of both cloud & on-premises data processing and data repositories is also required by those specialists who are going to take test DA-100.
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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:
- Apply user-friendly naming conventions to columns and queries
- Use or create a PBIDS file
- Change data source settings
- Choose an appropriate query type
- Examine data structures
- Select a storage mode
- Identify and create appropriate keys for joins
- Use Microsoft Dataverse
- Identify and connect to a data source
- Leverage Advanced Editor to modify Power Query M code
- Resolve inconsistencies, unexpected or null values, and data quality issues
- Evaluate and transform column data types
- Combine queries
- Configure data loading
- Identify data anomalies
- Identify query performance issues
- Resolve data import errors
- Apply data shape transformations to table structures
- Select a shared dataset or create a local dataset
- Interrogate column properties
- Apply user-friendly value replacements
- Interrogate data statistics
- Use or create a data flow
- Use parameters
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Share and distribute content - Configure refresh and security |
| Topic 2: Prepare the data | 20-25% | - Clean, transform, and load data - Profile and examine data - Get data from different sources |
| Topic 3: Visualize the data | 20-25% | - Enrich reports for usability - Create reports and dashboards - Apply filters, slicers, and formatting |
| Topic 4: Analyze the data | 10-15% | - Apply AI visuals and insights - Identify patterns and trends - Perform advanced analysis |
| Topic 5: Model the data | 25-30% | - Design and develop data models - Create calculated tables and columns - Optimize model performance - Create measures using DAX |





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