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Requirements

The Microsoft DA-100: Analyzing Data with Microsoft Power BI test does not have any official prerequisite. However, the applicants must understand the content of the exam topics. They also need to have fundamental knowledge of data processing and data repositories in Cloud and on-premises.

How can you prepare for the Microsoft DA-100 exam to succeed?

The candidates can explore various resources to prepare for the Microsoft DA-100 exam. The Microsoft Learning Platform offers many study tools that the learners can use to achieve success in their test. The first step in the preparation process is to go over the detailed exam topics. After that, you can choose your resources carefully. Here are the official recommended materials for the DA-100 test:

  • Books

    The recommended book resource for this test is Exam Ref: DA-100 Analyzing Data with Microsoft Power BI by Daniil Maslyuk. This is a professional-level resource to help the learners optimize their performance in the test and improve their skills. The book can be found on the Microsoft Press Store.

  • Free Online Training

    The applicants who prefer self-paced study can explore the learning paths for the Microsoft DA-100 exam. There are six learning paths for this certification test, including Getting Started with Microsoft Data Analytics, Prepare Data for Analysis, Model Data in Power BI, and Visualize Data in Power BI, among others. Each path contains different modules that address particular topics of the exam.

  • Instructor-Led Training

    Microsoft recommends the Analyzing Data with Power BI training course for the candidates taking the DA-100 test. This training focuses on different best practices and methods associated with the technical and business requirements for visualizing, analyzing, and modeling data with Power BI. The individuals will learn how to process and access data from different data sources, including non-relational and relational data.

  • Practice Test

    Microsoft also offers the official practice test for Microsoft DA-100. The exam questions cover all the objectives of the actual test. This means that you will be well prepared for any questions that may be administered in the exam.

Target Audience

The potential candidates for the Microsoft DA-100 exam are Data Analysts. These professionals have the responsibility of enabling organizations to optimize their data asset values through the use of Microsoft Power BI. They also have the job responsibility of building and designing scalable data models, facilitating advanced analytics capacities, and transforming and cleaning data. These duties are aimed to offer significant business values through easy-to-understand data visualization. The Data Analysts also partner with the major stakeholders to deliver significant insights according to the identified business prerequisites.

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

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Conclusion: Getting Microsoft Certified Is Challenging But Possible!

The Microsoft Certified: Data Analyst Associate certificate will help secure a career as a data analyst, which will come with it a high paycheck and different career opportunities. However, achieving this certification won’t be easy as one needs to overcome DA-100 (Analyzing Data with Microsoft Power BI) exam. But, with a huge number of study guides available on Amazon and the official MS training course, passing this test is going to be that much easier.

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Microsoft DA-100日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Select appropriate storage modes (Import, DirectQuery, Composite)
        • 2. Connect to data sources (files, databases, cloud services)
          Topic 2: 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 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: 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 5: Visualize the data25-30%- Enhance reports
                                  • 1. Use bookmarks and navigation elements
                                    • 2. Apply filters, slicers, and drill-through
                                      - Create reports
                                      • 1. Design interactive reports in Power BI Desktop
                                        • 2. Use visuals such as charts, maps, and tables

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