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PL-300: Examen de analista de datos de Microsoft Power BI

Ace the Microsoft Power BI Data Analyst (PL-300) exam! Practice questions based on the latest curriculum. Prepare and pass with confidence.

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Course Content

PL-300: Examen de analista de datos de Microsoft Power BI is an all-levels Udemy course taught by Soyab _. It is taught in Spanish and includes a certificate of completion. Learners rate it 2.9 out of 5 from 8 reviews, with 57 students enrolled. It is a paid course, last updated September 2025.

Ace Your PL-300: Microsoft Power BI Data Analyst Certification Exam with Practice Questions

Ready to take the next step in your data analytics career? The Microsoft Power BI Data Analyst (PL-300) certification is a highly sought-after credential that validates your skills in data preparation, modeling, visualization, and analysis. This comprehensive practice exam is designed to help you confidently pass your PL-300 exam on your first attempt.

Why Get Certified?

In today's competitive job market, certifications demonstrate your expertise and set you apart from the crowd. Earning your Microsoft certification showcases to employers that you have the skills and knowledge to succeed in a data-driven role. It's a valuable investment in your future, opening doors to new opportunities and higher earning potential.

What You'll Learn with This Practice Exam:

This online practice test features over 60 exam-style questions covering the key topics assessed in the PL-300 certification. We've meticulously crafted these questions to mirror the real exam, ensuring you're prepared for every scenario.

Key Exam Domains Covered:

  • Prepare Data (25-30%): Master the essential skills for data readiness.
  • Model Data (25-30%): Learn to design robust and efficient data models.
  • Visualize and Analyze Data (25-30%): Develop compelling data visualizations and uncover actionable insights.
  • Implement and Maintain Assets (15-20%): Understand how to deploy and manage Power BI assets for maximum impact.

Detailed Breakdown of Topics:

Prepare Data (25-30%):

  • Data Acquisition: Connect to various data sources (databases, files, cloud services).
  • Data Transformation: Clean, transform, and shape data for analysis. Handle inconsistencies, missing values, and errors.
  • Data Loading: Choose the optimal data loading mode (DirectQuery, Import, Dual) and configure data settings.
  • Data Type Management: Select appropriate data types and create calculated columns.
  • Data Modeling Fundamentals: Understand the importance of star schemas and relationships.
  • Data Blending & Joining: Combine data from multiple sources.

Model Data (25-30%):

  • Data Modeling Design: Design and implement efficient data models.
  • Table & Column Properties: Configure table and column properties for optimal performance.
  • Relationships: Define relationships between tables, including cardinality and cross-filter direction.
  • DAX Calculations: Create measures, calculated columns, and time intelligence calculations using DAX.
  • Performance Optimization: Identify and resolve performance bottlenecks in your data models.
  • Calculated Tables: Create calculated tables to enhance your data model.

Visualize and Analyze Data (25-30%):

  • Report Creation: Design and build interactive Power BI reports.
  • Visualizations: Select and format appropriate visuals to communicate data effectively.
  • Customization: Apply themes, conditional formatting, and filters.
  • Report Page Design: Configure report pages for optimal readability and storytelling.
  • Interactive Features: Implement bookmarks, tooltips, and cross-filtering.
  • Mobile Optimization: Design reports for mobile devices.
  • AI Features: Utilize Q&A, AI insights, and anomaly detection.

Implement and Maintain Assets (15-20%):

  • Workspace Management: Create and manage Power BI workspaces.
  • Content Publishing: Publish, import, and update content within workspaces.
  • Data Gateway Configuration: Configure data gateways for on-premises data sources.
  • Dataset Management: Manage dataset refresh schedules and security settings.
  • Security: Implement row-level security and manage user access.

Exam Details:

  • Exam Name: Microsoft Certified: Data Analyst Associate
  • Exam Code: PL-300
  • Exam Fee: $165 USD
  • Question Type: Multiple choice, multiple response, drag and drop, performance-based.
  • Duration: 180 minutes
  • Languages: English, German, Japanese
  • Passing Score: 700/1000
  • Testing Provider: Pearson VUE

Preparation is Key:

Passing the PL-300 exam requires dedication and focused study. This practice exam is a valuable tool to help you assess your knowledge, identify areas for improvement, and build confidence. We understand the challenges of exam preparation and have created a resource that is both effective and engaging. With consistent practice and the right approach, you can achieve your certification goals.

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