Exam Details
Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.
The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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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:
- Transform and model the data
- Integrate with other Microsoft solutions, such as Azure data services
- Share data, dashboards, and reports with other Power BI users
- Create reports and dashboards that are collections of visuals
- Connect to 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
- Create charts and graphs
- Embed Power BI visuals into Power BI apps
- Create workspaces - places to collaborate with colleagues to create collections of dashboards and reports
- Share reports with others using the Power BI service
Some other benefits are as follows:
- 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 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.
- 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.
- 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.
- After completion of the exam, candidates receive official confirmation from Microsoft that they are now fully certified in their chosen field.
- 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.
- 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.
- 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.
Microsoft DA-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare the data | 20-25% | - Clean and transform data
|
| Topic 2: Model the data | 25-30% | - Create calculated columns and measures
|
| Topic 3: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets
|
| Topic 4: Analyze the data | 10-15% | - Analyze data patterns
|
| Topic 5: Visualize the data | 25-30% | - Create reports
|



