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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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100 Certification Exam is a comprehensive certification that measures an individual's ability to create, manage, and analyze data with Microsoft Power BI. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification is designed for data analysts, business intelligence professionals, and data scientists who want to demonstrate their expertise in using Power BI for data analysis and visualization. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification provides recognition of an individual's skills and knowledge in Power BI and is a valuable asset for organizations that use Power BI.
The DA-100 exam tests a wide range of skills related to data analysis, including data modeling, data visualization, and data transformation. It also covers important topics such as DAX (Data Analysis Expressions), Power Query, and Power BI Service. DA-100-Deutsch exam consists of multiple-choice questions and is available in several languages, making it accessible to professionals all over the world.
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Microsoft DA-100 (Analyzing Data with Microsoft Power BI) Certification Exam is a professional certification that validates one's skills in using Microsoft Power BI to analyze and visualize data. Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) certification is designed for data analysts and business intelligence professionals who want to demonstrate their expertise in using Power BI to connect, transform, model, and visualize data from various sources. DA-100-Deutsch exam covers a range of topics such as data preparation, data modeling, visualization, and collaboration, and it requires a solid understanding of Power BI features and functionality.
Microsoft DA-100 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deploy and maintain deliverables | 10-15% | - Configure refresh and security - Share and distribute content - Manage workspaces and datasets |
| Model the data | 25-30% | - Create measures using DAX - Design and develop data models - Optimize model performance - Create calculated tables and columns |
| Analyze the data | 10-15% | - Apply AI visuals and insights - Identify patterns and trends - Perform advanced analysis |
| Visualize the data | 20-25% | - Apply filters, slicers, and formatting - Enrich reports for usability - Create reports and dashboards |
| Prepare the data | 20-25% | - Profile and examine data - Clean, transform, and load data - Get data from different sources |
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