Microsoft PL-300 Deutsch dumps - in .pdf

PL-300 Deutsch pdf
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 03, 2026
  • Q & A: 472 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 03, 2026
  • Q & A: 472 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft PL-300 Deutsch dumps - Testing Engine

PL-300 Deutsch Testing Engine
  • Exam Code: PL-300 Deutsch
  • Exam Name: Microsoft Power BI Data Analyst (PL-300 Deutsch Version)
  • Updated: Sep 03, 2026
  • Q & A: 472 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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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.

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

Microsoft PL-300 exam, also known as the Microsoft Power BI Data Analyst exam, is a certification exam designed for professionals who want to demonstrate their expertise in using Microsoft Power BI to create compelling data visualizations and reports. PL-300-Deutsch exam is one of the most popular and recognized certification exams in the industry and is highly sought after by employers looking for skilled data analysts.

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

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Microsoft PL-300 Certification Exam consists of various topics, including understanding business requirements, creating data models, visualizing data with Power BI, and collaborating and sharing Power BI content. To be eligible for this certification, candidates must have a fundamental understanding of data analysis, data modeling, and data visualization. Additionally, candidates should be familiar with the Power BI service, including its various features and capabilities.

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Microsoft PL-300 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare the Data10-15%- Get data from various data sources
  • 1. Change data source settings
  • 2. Identify and connect to a data source
  • 3. Choose between DirectQuery, Import, and Dual storage modes
  • 4. Configure dataset refresh
  • 5. Select a shared dataset or create a local copy
  • 6. Use Microsoft Fabric and OneLake
- Clean, transform, and load the data
  • 1. Design and build intermediate tables
  • 2. Profile the data
  • 3. Configure data loading and queries
  • 4. Apply user-friendly naming conventions to columns and tables
  • 5. Identify the data structure
  • 6. Resolve data quality issues
  • 7. Determine proper data types
Topic 2: Model the Data25-30%- Develop the data model
  • 1. Configure table relationships
  • 2. Create calculated tables and columns
  • 3. Use the calculation group feature
  • 4. Implement row-level security roles
  • 5. Build hierarchies and hierarchical fields
  • 6. Create common date tables
- Design a data model
  • 1. Design a star schema or snowflake schema
  • 2. Define tables and table schemas
  • 3. Resolve performance issues with relationships
  • 4. Determine the appropriate granularity
  • 5. Apply field metadata and groupings
  • 6. Implement row-level security
- Create measures and DAX calculations
  • 1. Implement context transition
  • 2. Create semi-additive measures
  • 3. Write and use basic DAX syntax
  • 4. Use Time Intelligence functions
  • 5. Create calculated measures
  • 6. Use CALCULATE and FILTER functions
- Optimize model performance
  • 1. Validate performance and resolve issues
  • 2. Improve user experience by hiding objects
  • 3. Configure aggregations
  • 4. Optimize DirectQuery models
  • 5. Optimize Dax queries
Topic 3: Visualize the Data25-30%- Build visuals
  • 1. Apply AI insights and enhanced analytics
  • 2. Configure data colors and shapes
  • 3. Format and configure pages and report backgrounds
  • 4. Configure visual interactions and cross-filtering
  • 5. Determine the appropriate visual type
  • 6. Apply sorting and filtering to visuals
- Enrich reports with advanced visuals
  • 1. Use dynamic page navigation
  • 2. Configure R and Python visuals
  • 3. Integrate Microsoft Copilot for Power BI
  • 4. Create custom visuals
- Enhance reports for user experience
  • 1. Add accessibility features and compliance
  • 2. Add tooltips and navigation
  • 3. Design for mobile and specific layouts
  • 4. Apply artistic formatting to visuals
Topic 4: Analyze the Data10-15%- Perform analysis in Power BI
  • 1. Configure auto-insights
  • 2. Apply Quick Insights
  • 3. Generate Pinn visual insights
  • 4. Identify patterns and trends
  • 5. Use the Q&A visual
- Work with metrics in Power BI
  • 1. Track goals with scorecards
  • 2. Create metrics using Microsoft measurements
  • 3. Use the Decomposition Tree visual
  • 4. Define and monitor KPIs
Topic 5: Manage and Maintain Workspace Items10-15%- Create and manage workspaces
  • 1. Configure content certification
  • 2. Publish and update a Power BI app
  • 3. Endorse sensitive content with sensitivity labels
  • 4. Configure workspace membership and roles
- Manage datasets
  • 1. Manage gateways and data sources
  • 2. Configure dataset metadata and properties
  • 3. Resolve dataset permission issues
  • 4. Manage dataset refresh scheduling

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