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Prepare to pass the PL-300 : Practice tests updated with hot questions.

What you will learn

At the end of each practice Tests you will have a graph with your score.

We have prepared the questions so that you feel safe when taking the official exam.

Practice tests with references and explanations help you reach your goal.

PL-300 TESTS PRACTICE AIMS TO MAKE SURE that you are really prepared for the PL-300 1 Exam.

Description

The objective of this set of sample questions is to provide information about the exam Exam PL-300: Microsoft Power BI Data Analyst. These are examples of questions to familiarize yourself with the type and level of difficulty of the questions on the PL-300 certification test. To familiarize yourself with the real environment of the exam. When solving quests based on scenarios in real time in a practical way, you face many difficulties that give you the opportunity to improve and be approved without the exam on the first attempt.

The Microsoft PL-300 exam is especially intended for Power BI data analysts who use available data and subject matter experience to provide meaningful insights. We determine business needs by consulting important stakeholders from various sectors, cleanse and transform data, and then use Power BI to create data models.

  • Benefits to either purchase or practice PL-300 tests

Performance-based online simulations provide hands-on experience in the workplace

Questions are similar to exam questions to test your knowledge of exam objectives

Detailed explanations for correct and distracting answers reinforce the material

Study mode covers all objectives, ensuring topics are covered

The certification mode (temporary) prepares students for the conditions of taking the exam


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Detailed, instant score reports tell you exactly which areas to focus on.

This sc-300 practice test covers following topics:

1. Prepare the data (15–20%)

  • Get data from different data sources
  • Clean, transform and load the data

2. Model the data (30–35%)

  • Design a data model
  • Develop a data model
  • Create model calculations by using DAX
  • Optimize model performance

3. Visualize and analyze the data (25–30%)

  • Create reports
  • Create dashboards
  • Enhance reports for usability and storytelling
  • Identify patterns and trends

4. Deploy and maintain assets (20–25%)

  • Manage files and datasets
  • Manage workspaces

Disclaimer:

Practice tests for students to test their skills. Microsoft, Azure, Windows and the Windows logo are registered trademarks of Microsoft Corporation. I do not offer exam dumps or questions for real exams. We offer practical teaching materials for educational purposes. All certification marks used in this instructor’s courses are the property of their respective trademark owners. It does not own or declare any ownership of any of the marks.

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