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Microsoft DA-100 or Analyzing Data with Microsoft Power BI Exam is a certification exam that measures an individual's ability to use Microsoft Power BI to analyze, visualize and report data. DA-100J exam is designed for data analysts and business intelligence professionals who use Power BI to analyze data and create business insights. It tests the candidate's knowledge of data analysis, data visualization, DAX language, and data modeling techniques.
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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100 (Analyzing Data with Microsoft Power BI) Certification Exam is a comprehensive certification exam that measures an individual's ability to analyze data using Microsoft Power BI. DA-100J exam is designed for professionals who work with data and want to enhance their skills in analyzing and visualizing data using Microsoft Power BI. The DA-100 exam is ideal for data analysts, data scientists, business analysts, and other professionals who work with data and want to demonstrate their expertise in data analysis and visualization.
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Useful Training Courses to Pass DA-100
To help candidates prepare fully and achieve the best possible result in DA-100, Microsoft provides an official four-day instructor-led training named ‘Course DA-100T00-A: Analyzing Data with Power BI’. It has 13 modules, each focusing on a different area that will be assessed in the exam. Along with each section, there are lab exercises that give candidates the opportunity to apply what they learnt during the sessions. After completing this training, the applicants will be able to analyze technical reports, use Power BI to make paginated reports, handle & distribute report assets, and draw up reports for data analysis. Also, they will be able to effectively enhance, polish, transform, and structure data in a way that facilitates the performance of the business.
However, not everyone can participate in this program as there are certain prerequisites. For instance, learners must be acquainted with the concepts of working with data in the cloud, know how to interact with non-relational and relational data in the cloud, be familiar with the virtualization basics, and finally, understand how to carry out data analysis. If a candidate is missing these necessary requirements, then they can obtain them by first going through the ‘Microsoft Azure Data Fundamentals’ training course and then enrolling in this one.
Moreover, note that the vendor also provides six learning paths for self-study. They are completely free and can be a good first step in your revision for the exam. These modules cover different data analysis areas, such as the use of Power BI, visualization, workspaces’ management, and many more.
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 - Design and develop data models - Create calculated tables and columns - Create measures using DAX |
| Prepare the data | 20-25% | - Clean, transform, and load data - Profile and examine data - Get data from different sources |
| Deploy and maintain deliverables | 10-15% | - Share and distribute content - Manage workspaces and datasets - Configure refresh and security |





