Question 1

1. What function is primarily used to calculate the rank of customers in Power BI?

Accepted Answer

RANKX

Answer

SUMX

Answer

FILTER

Answer

CALCULATE

Question 2

2. At what timestamp does the video begin discussing the calculation of the top 20% customers?

Accepted Answer

0.1284722222222222

Answer

0.1840277777777778

Answer

0.22916666666666666

Answer

0.11458333333333333

Question 3

3. Which logical function is combined with RANKX to dynamically identify the top customers?

Accepted Answer

IF

Answer

SWITCH

Answer

AND

Answer

OR

Question 4

4. What percentage of customers is the video focusing on?

Accepted Answer

0.2

Answer

0.3

Answer

0.1

Answer

0.5

Question 5

5. What is the purpose of using the IF logic in the context of this video?

Accepted Answer

To ensure calculations work in any context

Answer

To create new columns

Answer

To filter data

Answer

To visualize data

Question 6

6. At what point does the video discuss evaluating the rank and amount of unique customers?

Accepted Answer

0.1840277777777778

Answer

0.22916666666666666

Answer

0.2951388888888889

Answer

0.1284722222222222

Question 7

7. Which of the following resources is NOT mentioned in the video?

Accepted Answer

Free course on DAX

Answer

Free Power BI resources

Answer

Python programming tutorial

Answer

Paid membership course

Question 8

8. What principle is being implemented in the video’s Power BI analysis?

Accepted Answer

Pareto Principle

Answer

Moore's Law

Answer

Peter Principle

Answer

Murphy's Law

Question 9

9. Where can you find the free 60-page DAX Reference Guide?

Accepted Answer

Enterprise DNA website

Answer

YouTube description

Answer

GitHub

Answer

Microsoft Docs

Question 10

10. What type of scenarios does the related course module 'Unique Analytical Scenarios' cover?

Accepted Answer

Unique Analytical Scenarios

Answer

Simple Arithmetic Calculations

Answer

Basic Data Visualization

Answer

SQL Queries

Question 11

11. Which Power BI function helps in predicting customer purchase behavior as per the related links?

Accepted Answer

Predicting Purchase Next

Answer

Forecast

Answer

CustomerX

Answer

PredictX

Question 12

12. What is the timestamp when unique customers for different states are tried out?

Accepted Answer

0.2951388888888889

Answer

0.2604166666666667

Answer

0.20833333333333334

Answer

0.3472222222222222

Question 13

13. What is the importance of calculating the number of unique customers?

Accepted Answer

To better understand customer distribution

Answer

To clean the dataset

Answer

To visualize data better

Answer

To automate reporting

Question 14

14. Which of the following is NOT a related support forum post mentioned?

Accepted Answer

Pareto Rule DAX Function

Answer

Pareto Rule 20/80

Answer

Unique Analytical Scenarios

Answer

Testing The Pareto Principle

Question 15

15. What is a common theme in the related blog links provided?

Accepted Answer

Customer Analysis

Answer

Visualization Techniques

Answer

Sales Forecasting

Answer

Data Cleaning

Question 16

16. Which of the following courses is specifically mentioned for beginners?

Accepted Answer

Ultimate Beginners Guide To Power BI

Answer

Intermediate Power BI

Answer

Professional Data Analysis

Answer

Advanced DAX Techniques

Question 17

17. Which logical DAX function is mentioned as a small trick in the video?

Accepted Answer

IF

Answer

OR

Answer

AND

Answer

NOT

Question 18

18. What website offers Enterprise DNA Membership?

Accepted Answer

enterprisedna.co

Answer

dax.guide

Answer

powerbi.com

Answer

youtube.com

Question 19

19. How does the video propose ensuring that the DAX logic works in any context?

Accepted Answer

Using IF logic

Answer

Using CALCULATE function

Answer

Applying FILTER

Answer

Using SWITCH function

Question 20

20. What is a major focus of the Enterprise DNA blog related to the video?

Accepted Answer

Implementing the Pareto Principle

Answer

Basic SQL Queries

Answer

Simple Data Summarization

Answer

Basic Power BI Operations

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