Introduction of Microsoft PL-300 Exam

Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.

The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.

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Exam PL-300: Microsoft Power BI Data Analyst

The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.

Passing score: 700. Learn more about exam scores.

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Part of the requirements for: Microsoft Certified: Power BI Data Analyst Associate

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

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Model the data	25-30%	- Create model calculations 1. Use CALCULATE and filter context 2. Use DAX: calculated columns, calculated tables, measures 3. Implement aggregation and time intelligence - Design data models 1. Create common date tables 2. Create relationships: cardinality, cross-filter direction, security 3. Define tables, columns, and hierarchies 4. Implement role-playing dimensions - Optimize model performance 1. Optimize relationships and calculations 2. Use aggregations and composite models 3. Reduce cardinality and data size
Topic 2: Prepare the data	25-30%	- Profile and clean data 1. Evaluate data statistics and column properties 2. Resolve inconsistencies, null values, and errors 3. Transform data using Power Query Editor 4. Manage data types, columns, and rows - Get or connect to data 1. Configure data source settings, credentials, and privacy levels 2. Create and modify parameters 3. Choose storage modes: Import, DirectQuery, DirectLake 4. Identify and connect to data sources or shared semantic models - Load and configure data 1. Configure data refresh settings 2. Integrate data from multiple sources 3. Define table structures and properties
Topic 3: Manage and secure Power BI	15-20%	- Deploy and distribute content 1. Embed content in applications or websites 2. Monitor usage and performance 3. Share reports, dashboards, and apps - Manage workspaces and assets 1. Publish, update, and organize reports/datasets 2. Create and configure workspaces 3. Manage data refresh and scheduled updates - Implement security and governance 1. Apply data sensitivity labels and protection 2. Configure row-level security (RLS) and object-level security 3. Manage permissions and access
Topic 4: Visualize and analyze data	25-30%	- Perform data analysis 1. Implement custom visuals and R/Python scripts 2. Interpret results and identify trends 3. Create and manage bookmarks and tooltips - Create reports and dashboards 1. Apply filters, slicers, and drill-through 2. Design report layout, formatting, and interactivity 3. Create dashboards and pinned elements 4. Choose appropriate visualizations - Enhance reports with analytics 1. Apply conditional formatting and custom visuals 2. Use AI visuals, forecasts, and key influencers 3. Create paginated reports

Microsoft PL-300 Deutsch : Microsoft Power BI Data Analyst (PL-300 Deutsch Version)

About Microsoft PL-300 Deutsch Exam