Get the coupon in the end of description.
Description
In order to set realistic expectations, please note: These questions are NOT official questions that you will find on the official exam. These questions DO cover all the material outlined in the knowledge sections below. Many of the questions are based on fictitious scenarios which have questions posed within them.
The official knowledge requirements for the exam are reviewed routinely to ensure that the content has the latest requirements incorporated in the practice questions. Updates to content are often made without prior notification and are subject to change at any time.
The questions will be shuffled each time you repeat the tests so you will need to know why an answer is correct, not just that the correct answer was item “B” last time you went through the test.
NOTE: This course should not be your only study material to prepare for the official exam. These practice tests are meant to supplement topic study material.
Based on the Power BI Data Analyst certification exam (PL-300) Exam Preparation Guide, here are the key details you should focus on to train yourself effectively for the exam:
1-Exam Structure
Number of Questions: Typically, the exam consists of around 40-60 questions.
Question Types: Questions can be multiple-choice, multiple-response, drag-and-drop, or case study-based scenarios.
Duration: Candidates have approximately 180 minutes to complete the exam.
Passing Score: The passing score varies but generally falls around 700 out of 1000.
2-Exam Content Areas
The PL-300 exam is divided into several key areas, including:
Prepare Data (15-20%)
Get data from different sources.
Clean, transform, and load data into Power BI.
Model Data (30-35%)
Design and create data models.
Optimize model performance.
Implement measures and calculations using DAX (Data Analysis Expressions).
Visualize Data (25-30%)
Create reports and dashboards.
Implement interactive visualizations.
Customize visuals and layouts for reporting.
Analyze Data (10-15%)
Perform data analysis using Power BI features.
Utilize statistical functions for insights.
Conduct “What If” analyses.
Deploy and Maintain Assets (10-15%)
Manage and share Power BI content.
Implement data security measures.
Monitor performance and usage of reports.
3-Preparation Strategies
Study Resources:
Official Microsoft Learning Path for Power BI.
Online courses and tutorials (e.g., Microsoft Learn, Udemy).
Books and documentation focused on Power BI.
Hands-On Practice:
Utilize Power BI Desktop to practice data preparation, modeling, and visualization.
Create sample reports and dashboards to reinforce learning.
Mock Exams:
