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Microsoft DA-100 Deutsch valid - in .pdf

DA-100 Deutsch pdf
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
  • PDF Price: $69.99
  • Free Demo

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  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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Microsoft DA-100 Deutsch valid - Testing Engine

DA-100 Deutsch Testing Engine
  • Exam Code: DA-100 Deutsch
  • Exam Name: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version)
  • Q & A: 150 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) - DA-100 Deutsch exam braindumps

For more info about Exam DA-100: Analyzing Data with Microsoft Power BI

Exam DA-100: Analyzing Data with Microsoft Power BI

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

Analyzing Data with Microsoft Power BI Exam Certification Details:

Exam Price$165 (USD)
Exam CodeDA-100
Duration180 mins
Schedule ExamPearson VUE
Passing Score700 / 1000
Number of Questions40-60
Exam NameMicrosoft Certified - Data Analyst Associate
Books / TrainingDA-100T00-A: Analyzing Data with Power BI
Sample QuestionsAnalyzing Data with Microsoft Power BI Sample Questions

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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.

Microsoft DA-100 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Visualize the data25-30%- Create reports
  • 1. Design interactive reports in Power BI Desktop
    • 2. Use visuals such as charts, maps, and tables
      - Enhance reports
      • 1. Use bookmarks and navigation elements
        • 2. Apply filters, slicers, and drill-through
          Topic 2: Deploy and maintain deliverables10-15%- Secure and share content
          • 1. Implement row-level security (RLS)
            • 2. Share dashboards with users and groups
              - Manage workspaces and datasets
              • 1. Configure dataset refresh schedules
                • 2. Publish reports to Power BI Service
                  Topic 3: Model the data25-30%- Create calculated columns and measures
                  • 1. Use DAX for calculations
                    • 2. Optimize model performance
                      - Design data models
                      • 1. Design star and snowflake schemas
                        • 2. Create relationships between tables
                          Topic 4: Analyze the data10-15%- Analyze data patterns
                          • 1. Use AI visuals and quick insights
                            • 2. Identify trends and outliers
                              - Perform advanced analytics
                              • 1. Use DAX time intelligence functions
                                • 2. Apply statistical measures in reports
                                  Topic 5: Prepare the data20-25%- Clean and transform data
                                  • 1. Handle missing, duplicate, and inconsistent data
                                    • 2. Use Power Query Editor for data shaping
                                      - Get data from data sources
                                      • 1. Connect to data sources (files, databases, cloud services)
                                        • 2. Select appropriate storage modes (Import, DirectQuery, Composite)

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