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

<<The course is updated as per the skills measured on February 06, 2024>>.

WHY YOU SHOULD BUY MY PL300 COURSE?

a. 150+ 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 data from data sources

• Identify and connect to a data source

• Change data source settings, including credentials, privacy levels, and data source locations

• Select a shared dataset, or create a local dataset

• Choose between DirectQuery, Import, and Dual mode

• Change the value in a parameter

  
  

Transform and load the data

• Select appropriate column data types

• Create and transform columns

• Transform a query

• Design a star schema that contains facts and dimensions

• 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

  
  

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

  
  

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

• Implement row-level security roles

  
  

Create model calculations by using DAX

• Create single aggregation measures

• Use CALCULATE to manipulate filters

• Implement time intelligence measures

• Identify implicit measures and replace with explicit measures

• Use basic statistical functions

• Create semi-additive measures

• Create a measure by using quick measures

• Create calculated tables

  
  

Optimize model performance

• Improve performance by identifying and removing unnecessary rows and columns

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

• Improve performance by choosing optimal data types

• Improve performance by summarizing data

  
  

Visualize and analyze the data (25–30%)

Create reports

• Identify and implement appropriate visualizations

• Format and configure visualizations

• Use a custom visual

• Apply and customize a theme

• Configure conditional formatting

• Apply slicing and filtering

• Configure the report page

• Use the Analyze in Excel feature

• Choose when to use a paginated report

  
  

Enhance reports for usability and storytelling

• Configure bookmarks

• Create custom tooltips

• Edit and configure interactions between visuals

• Configure navigation for a report

• Apply sorting

• Configure sync slicers

• Group and layer visuals by using the Selection pane

• Drill down into data using interactive visuals

• Configure export of report content, and perform an export

• Design reports for mobile devices

  
  

Identify patterns and trends

• Use the Analyze feature in Power BI

• Use grouping, binning, and clustering

• Incorporate the Q&A feature in a report

• Use AI visuals

• Use reference lines, error bars, and forecasting

• Detect outliers and anomalies

• Create and share scorecards and metrics

  
  

Deploy and maintain assets (15–20%)

Create and manage workspaces and assets

• Create and configure a workspace

• Assign workspace roles

• Configure and update a workspace app

• Publish, import, or update assets in a workspace

• Create dashboards

• Choose a distribution method

• Apply sensitivity labels to workspace content

• Configure subscriptions and data alerts

• Promote or certify Power BI content

• Manage global options for files

  
  

Manage datasets

• Identify when a gateway is required

• Configure a dataset scheduled refresh

• Configure row-level security group membership

• Provide access to datasets

Course updates:

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