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The benefit in Obtaining the Exam DA-100: Analyzing Data with Microsoft Power BI
Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. Power BI stands out with streamlined publication and distribution capabilities, as well as integration with other Microsoft products and services.
Through Power BI, users can:
- Share data, dashboards, and reports with other Power BI users
- Create reports and dashboards that are collections of visuals
- Integrate with other Microsoft solutions, such as Azure data services
- Create workspaces - places to collaborate with colleagues to create collections of dashboards and reports
- Create charts and graphs
- Share reports with others using the Power BI service
- Transform and model the data
- Enable peer-to-peer sharing - a way to share published dashboards or reports with people outside the organization who have a Power BI Pro license
- Embed Power BI visuals into Power BI apps
- Connect to data
Some other benefits are as follows:
- When Candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
- When candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which candidates are applying will put them at the top of the list and make them desirable candidates for employers.
- After completion of exam, candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
- Candidates will be able to apply that knowledge by experiencing hands-on use of a supported Microsoft product (e.g., Excel or PowerPoint). The exam will also help prepare individuals for the advanced data analysis skills required for more sophisticated reports and presentations.
- Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional.
- Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
- It will not only help those looking to become data analysts gain practical experience but also boost their chances of finding and securing employment.
- After completion of the exam, candidates receive official confirmation from Microsoft that they are now fully certified in their chosen field.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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Requirements
The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.
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Analyzing Data with Microsoft Power BI Exam Certification Details:
| Duration | 180 mins |
| Schedule Exam | Pearson VUE |
| Exam Code | DA-100 |
| Books / Training | DA-100T00-A: Analyzing Data with Power BI |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Sample Questions | Analyzing Data with Microsoft Power BI Sample Questions |
| Exam Price | $165 (USD) |
| Exam Name | Microsoft Certified - Data Analyst Associate |
Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Manage workspaces and datasets - Share and distribute content |
| Analyze the data | 10-15% | - Identify patterns and trends - Perform advanced analysis - Apply AI visuals and insights |
| Visualize the data | 20-25% | - Create reports and dashboards - Enrich reports for usability - Apply filters, slicers, and formatting |
| Model the data | 25-30% | - Optimize model performance - Create measures using DAX - Create calculated tables and columns - Design and develop data models |
| Prepare the data | 20-25% | - Profile and examine data - Get data from different sources - Clean, transform, and load data |




