3. Data Visualization (20-25%):
Here the candidates have to show their knowledge of:
- Enriching reports for Usage: This area requires that the test takers develop competence in configuring bookmarks, creating custom tooltips, configuring Sync Slicers, and navigation for reports. It also covers their skills in exporting report data, utilizing selection pane, drill-through & cross filter.
- Creating reports: The examinees must be able to demonstrate their skills in importing custom visuals, configuring and formatting visualization, designing and configuring accessibility, and configuring automatic page refresh. This topic also requires competence in applying filtering and slicing, selecting suitable visualization types, and including visualization items in reports.
- Creating dashboards:This domain will measure the individuals’ skills in managing tiles within a dashboard, setting mobile view, adding dashboard themes, configuring data classification, configuring data alerts, and using Q&A features.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
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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.
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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Model the data
The following will be discussed in MICROSOFT DA-100 exam dumps:
- Resolve many-to-many relationships
- Create calculated tables
- Optimize model performance
- Create hierarchies
- Use DAX to build complex measures
- Create calculated columns
- Use CALCULATE to manipulate filters
- Configure table and column properties
- Define quick measures
- Remove unnecessary rows and columns
- Improve cardinality levels by changing data types
- Develop a data model
- Implement row-level security roles
- Create semi-additive measures
- Set up the Q&A feature
- Define role-playing dimensions
- Define the tables
- Design the data model to meet performance requirements
- Implement Time Intelligence using DAX
- Define the appropriate level of data granularity
- Create a common date table
- Create and manage aggregations
- Define a relationship's cardinality and cross-filter direction
- Flatten out a parent-child hierarchy
- Identify poorly performing measures, relationships, and visuals
- Replace numeric columns with measures
- Create measures by using DAX
- Use basic statistical functions to enhance data
- Improve cardinality levels through summarization
- Apply cross-filter direction and security filtering
- Design a data model
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About Exam DA-100: Analyzing Data with Microsoft Power BI
The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.
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Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 25-30% | - Optimize model performance - Create calculated tables and columns - Design and develop data models - Create measures using DAX |
| Topic 2: Prepare the data | 20-25% | - Get data from different sources - Profile and examine data - Clean, transform, and load data |
| Topic 3: Analyze the data | 10-15% | - Apply AI visuals and insights - Perform advanced analysis - Identify patterns and trends |
| Topic 4: Deploy and maintain deliverables | 10-15% | - Share and distribute content - Configure refresh and security - Manage workspaces and datasets |
| Topic 5: Visualize the data | 20-25% | - Apply filters, slicers, and formatting - Create reports and dashboards - Enrich reports for usability |



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