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
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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.
What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI
The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.
- Number of Questions: 40
- Format: Multiple choices, multiple answers
- Passing Score: 70%
- Length of Examination: 90 minutes
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% | - Create reports
|
| Topic 3: Prepare the data | 20% | - Profile the data
|
| Topic 4: Deploy and maintain deliverables | 10% | - Create and manage workspaces
|
| Topic 5: Analyze the data | 15% | - Enhance reports for usability and storytelling
|
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