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Prerequisites of Microsoft Power BI Data Analyst Certification Exam

The Microsoft Power BI Data Analyst Certification Exam is a test which assesses your ability to have a high-level understanding of the data analysis process, including collecting, analyzing and visualizing data. It is a certification that will help you gain the required skills to be able to work with business intelligence solutions and tools. To be eligible to take this exam, you must meet the following prerequisites:

  • You have at least one year of experience working with relational databases, such as SQL Server or Oracle. In addition, you should have a basic understanding of how to create queries and reports using SQL Server Management Studio or Toad Data Point.

  • You have at least one year of experience using Power BI Desktop.

  • You are a professional data analyst with 2-4 years of work experience or an IT professional with 2-4 years of experience.

  • You have at least one year of experience using Power Query in Excel, or an equivalent experience using another data analysis tool.

Learn more about the exam

The need for this exam has increased tremendously over the years. As more people start using technology, there is a greater need for more professionals who can help them with their problems. With the increasing demand for people with these skills, it will be difficult for you to get a job without having one. If you want to succeed in your career, you should consider taking this test because it will give you an edge over other candidates who do not have it. It will also help you stand out from the crowd if you are applying for jobs online or even if you are looking for promotion within your company. Column data types have questions and answers subcategories for real time scenario. Sample questions about data source settings have calculated columns mobile view. Quick measure mode filters the app syllabus to practice the average sales. If you are feeling sensitive to additives in your food, you may want to format your schema prepared environment to be more additive-sensitive. This could involve avoiding foods that contain additives, eating organic foods whenever possible, or using natural sweeteners.

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Skills measured

  • Model the data (30-35%)
  • Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
  • Prepare the data (15-20%)
  • Visualize and analyze the data (25-30%)
  • Deploy and maintain assets (20-25%)

Benefits

The Microsoft Power BI Data Analyst certification is a globally recognized certification that validates your ability to design, build, and optimize data models using Power BI. It also demonstrates your expertise in building queries and reports with appropriate visuals, including dashboards, scorecards, and visualizations. This certification focuses on the intermediate-level skills required for data modeling and analysis.

The Microsoft Power BI Data Analyst certification provides many benefits to you. It helps you boost your career growth by validating your knowledge in building business intelligence solutions using Power BI platform. It validates your skills in designing reports and visualizations for various business needs. It increases your credibility among employers as most companies look for professionals who have this certification. It provides an opportunity to earn a higher salary package compared to those without this certification. ActualVCE Microsoft PL-300 Dumps will help you to pass your certification exam and get highly paid job.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300

Microsoft PL-300日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and maintain assets15-20%- Manage workspaces and datasets
  • 1. Publish and manage datasets
    • 2. Configure refresh schedules
      - Secure and monitor Power BI
      • 1. Monitor usage and performance
        • 2. Implement row-level security
          Topic 2: Visualize and analyze data25-35%- Enhance reports for usability
          • 1. Implement drill-through and navigation
            • 2. Apply filters and slicers
              - Create reports and dashboards
              • 1. Design report layouts
                • 2. Create visuals and KPIs
                  Topic 3: Model the data30-40%- Develop a data model
                  • 1. Create DAX calculations
                    • 2. Optimize model performance
                      - Design a data model
                      • 1. Design star schema
                        • 2. Define relationships and cardinality
                          Topic 4: Prepare the data15-20%- Clean, transform, and load data
                          • 1. Clean data using Power Query
                            • 2. Shape and transform data
                              - Get data from data sources
                              • 1. Identify and connect to data sources
                                • 2. Select storage modes

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