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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Analyze the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Perform advanced analysis
- Personalize visuals
- Conduct Time Series analysis
- Use groupings and binnings
- Explore statistical summary
- Add a Quick Insights result to a report
- Perform top N analysis
- Create reference lines by using Analytics pane
- Use the Q&A visual
- Apply conditional formatting
- Use the Key Influencers to explore dimensional variances
- Enhance reports to expose insights
- Apply slicers and filters
- Identify outliers
- Apply AI Insights
- Use the decomposition tree visual to break down a measure
- Use the Play Axis feature of a visualization
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Languages: English, Chinese (Simplified), Korean, Japanese, French, German, Spanish
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.
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 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analyze the data | 10-15% | - Apply AI visuals and insights - Identify patterns and trends - Perform advanced analysis |
| Topic 2: Visualize the data | 20-25% | - Create reports and dashboards - Apply filters, slicers, and formatting - Enrich reports for usability |
| Topic 3: Deploy and maintain deliverables | 10-15% | - Manage workspaces and datasets - Share and distribute content - Configure refresh and security |
| Topic 4: Model the data | 25-30% | - Design and develop data models - Create calculated tables and columns - Create measures using DAX - Optimize model performance |
| Topic 5: Prepare the data | 20-25% | - Get data from different sources - Clean, transform, and load data - Profile and examine data |
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