PL-300 Microsoft Power BI Data Analyst Practice Test w/ labs

Ace PL-300 / DA-100 | Microsoft Power BI | Visual explanations for correct, wrong answers | Case Studies | PBIX files

<<The course is updated as per the skills measured on January 15, 2026>>. The course is fully refurbished to fix all the negative comments.

WHY YOU SHOULD BUY MY PL300 COURSE?

a. 160+ deeply researched questions for PL 300. I create no more than three questions/day to maintain high-quality.

b. There are no simple one-liner questions. Each question is based on your understanding of a scenario. The questions challenge you to understand, apply, and analyze your knowledge.

c. I simulate the actual PL300 Microsoft exam experience for you in the form of drag-and-drop questions, dropdown questions, multiple yes/no questions with a radio button, repeated scenario questions, etc.

d. Clear and lucid explanations for both correct & incorrect answers.

e. Where required, each question comes with an attached PBIX file that you can download to verify your answers.

f. Supporting visuals created by me to drive better understanding (Not taken from Microsoft documentation)

g. Explanations run parallel to the product. Every detailed explanation has corroborating evidence with the Microsoft product (like Power BI Desktop or PBI service) shown in screenshots and clear callouts.

h. Explanations are NOT directly copied from Microsoft documentation. I have rephrased all the reasoning in a simple and easy-to-understand language.

i. No step-motherly treatment of incorrect answer choices. I took enough effort to explain the rationale for each answer choice (whether correct/wrong), including the reference links.

j. Don't worry about inaccurate sentence framing/wrong grammar/incorrect punctuations. I use Grammarly to review every question.

k. Almost non-existent repetition of questions only to increase the question count.

l. For some questions, you may have to search for answers in the given reference link. A Quick Preview feature shows a screenshot of the relevant paragraph to which the correct answer refers.

m. I love to help you succeed. If you need to discuss, we have an Active Q&A dashboard and expect fast responses (save for my sleeping hours, which are generally less).

n. As soon as there is an update from Microsoft, I try to update my course, keeping it always fresh.

o. The question bank is peer-reviewed every three months to ensure exam relevance.

p. Still not convinced? Check out sample questions on my YouTube channel/website before you decide to buy.

Feel free to connect with me through my website for any issues/questions.

The questions are collected from a variety of domains and sub-domains with extra care taken to equal attention to each exam area. Also, the questions are on different levels.

For example:

1. Remember-level questions test whether you can recall memorized facts, & basic concepts.

2. Understand-level questions validate whether you can explain the meanings of terms, & concepts.

3. Application-level questions test whether you can perform tasks using facts, concepts, & techniques, and,

4. Analysis-level questions validate whether you can diagnose situations & solve problems with concepts & techniques.

A mixture of questions at different levels reinforces your knowledge and prepares you to ace the exam.

These are the exam domains covered in the PL-300 practice test:

Prepare the data (25–30%)

Get or connect to data

• Identify and connect to data sources or a shared semantic model

• Change data source settings, including credentials and privacy levels

• Choose between DirectQuery and Import

• Create and modify parameters

  
  

Profile and clean the data

• Evaluate data, including data statistics and column properties

• Resolve inconsistencies, unexpected or null values, and data quality issues

• Resolve data import errors

  
  

Transform and load the data

• Select appropriate column data types

• Create and transform columns

• Group and aggregate rows

• Pivot, unpivot, and transpose data

• Convert semi-structured data to a table

• Create fact tables and dimension tables

• Identify when to use reference or duplicate queries and the resulting impact

• Merge and append queries

• Identify and create appropriate keys for relationships

• Configure data loading for queries

Model the data (25–30%)

Design and implement a data model

• Configure table and column properties

• Implement role-playing dimensions

• Define a relationship's cardinality and cross-filter direction

• Create a common date table

• Identify use cases for calculated columns and calculated tables

  
  

Create model calculations by using DAX

• Create single aggregation measures

• Use the CALCULATE function

• Implement time intelligence measures

• Use basic statistical functions

• Create semi-additive measures

• Create a measure by using quick measures

• Create calculated tables or columns

• Create calculation groups

  
  

Optimize model performance

• Improve performance by identifying and removing unnecessary rows and columns

• Identify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query view

• Improve performance by reducing granularity

  
  

Visualize and analyze the data (25–30%)

Create reports

• Select an appropriate visual

• Format and configure visuals

• Create a narrative visual with Copilot

• Apply and customize a theme

• Apply conditional formatting

• Apply slicing and filtering

• Use Copilot to create a new report page

• Use Copilot to suggest content for a new report page

• Configure the report page

• Choose when to use a paginated report

• Create visual calculations by using DAX

  
  

Enhance reports for usability and storytelling

• Configure bookmarks

• Create custom tooltips

• Edit and configure interactions between visuals

• Configure navigation for a report

• Apply sorting to visuals

• Configure sync slicers

• Group and layer visuals by using the Selection pane

• Configure drill through navigation

• Configure export settings

• Design reports for mobile devices

• Enable personalized visuals in a report

• Design and configure Power BI reports for accessibility

• Configure automatic page refresh

  
  

Identify patterns and trends

• Use the Analyze feature in Power BI

• Use grouping, binning, and clustering

• Use AI visuals

• Use reference lines, error bars, and forecasting

• Detect outliers and anomalies

• Use Copilot to summarize the underlying semantic model

  
  

Manage and secure Power BI (15–20%)

Create and manage workspaces and assets

• Create and configure a workspace

• Configure and update a workspace app

• Publish, import, or update items in a workspace

• Create dashboards

• Choose a distribution method

• Configure subscriptions and data alerts

• Promote or certify Power BI content

• Identify when a gateway is required

• Configure a semantic model scheduled refresh

  
  

Secure and govern Power BI items

• Assign workspace roles

• Configure item-level access

• Configure access to semantic models

• Implement row-level security roles

• Configure row-level security group membership

• Apply sensitivity labels

Course updates:

V5 - Oct - Dec 2025.

Course fully updated to meet the latest syllabus.

more than 30 questions removed

more than 35 questions added.

v4 - Jan 2024

Added a case study on GenAffair, Inc.,

v3 - Dec 2023

• Added 3 questions (work in progress)

• Updated 5 questions

v2 - June 2023

• Added PBIX Files for all the questions

• Updated 21 questions

v1.4 - November 2022

• Updated 4 questions

v1.3 - August 2022

• Removed 15 questions (Combined question sets into a single question based on feedback)

• Added 20 questions

v1.2 - March 2022

• Added a case study

• Added 6 questions

v1.1 - February 2022

• Updated 3 questions