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This certification exam covers a range of skills that the applicants need to develop competency in before sitting for it. These skills are broken into topics and subtopics. Here are the highlights of the subject areas covered in Microsoft DA-100:
- Visualize Data: 20-25%
Within this domain, the examinees should possess the ability to create reports because the certification test will measure their capability to perform the technical tasks in this area. They will also need to demonstrate their skills in creating dashboards, including setting mobile view, using Q&A features, managing tiles on dashboards, and configuring data classification. The individuals should also be able to improve reports for usability. They will be required to demonstrate their skills in configuring bookmarks, applying to sort, creating custom tooltips, exporting report data, and configuring Sync Slicers.
- Model Data: 25-30%
This topic equips the candidates with the skills and knowledge on how to design the data model. The questions from this subject area will measure their expertise in defining tables, quick measures, role-playing dimensions, cross-filter direction and relationship’s cardinality, and precise level of data granularity. It will also measure competence in the development of data models, creation of measures with the use of DAX, and optimization of model performance.
- Analyze Data: 10-15%
This part will measure the competence of the students in improving reports to reveal insights. These include competence in applying conditional formatting, personalizing visuals, exploring statistical summary, and using Q&A visuals. It will also evaluate their skills in performing advanced analysis.
- Prepare Data: 20-25%
This section of the certification exam will evaluate the ability of the candidates to acquire data from various data sources. They also must be able to profile data, which includes identifying data anomalies and examining data structure. It also requires interrogating data statistics and column properties. In addition, the test takers should have competence in cleaning, transforming, and loading the data. This involves resolving inconsistencies, identifying the relevant keys for joins, combining queries, and resolving data import errors.
- Maintain & Deploy Deliverables: 10-15%
The applicants for the Microsoft DA-100 exam should also have competence in managing datasets. This involves configuring datasets scheduled refresh, certifying or promoting Power BI content, and providing access to the datasets. The learners also need to have the skills in creating and managing workspaces, creating and configuring workspaces, assigning workspace roles, and using deployment pipelines.
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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:
- Apply AI Insights
- Apply conditional formatting
- Enhance reports to expose insights
- Conduct Time Series analysis
- Use the Play Axis feature of a visualization
- Add a Quick Insights result to a report
- Use the Key Influencers to explore dimensional variances
- Identify outliers
- Perform top N analysis
- Use groupings and binnings
- Perform advanced analysis
- Explore statistical summary
- Apply slicers and filters
- Personalize visuals
- Create reference lines by using Analytics pane
- Use the decomposition tree visual to break down a measure
- Use the Q&A visual
5. Deliverables Deployment and Maintenance (10-15%):
The topics for this part are the following:
- Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.
- Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100
Microsoft DA-100日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model the data | 30% | - Design a data model
|
| Topic 2: Visualize the data | 25% | - Enforce accessibility
|
| Topic 3: Prepare the data | 20% | - Transform and load the data
|
| Topic 4: Deploy and maintain deliverables | 10% | - Create and manage workspaces
|
| Topic 5: Analyze the data | 15% | - Perform advanced analysis
|
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