Power BI Tips and Tricks (Includes Time-Saving ChatGPT Prompts) - Deep Dive into the New DAX Functions

Power BI Tips and Tricks (Includes Time-Saving ChatGPT Prompts) - Deep Dive into the New DAX Functions

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces three powerful DAX functions: offset, index, and window, available in Power BI from December 2022. It covers setting up data tables, creating a total sales measure, and demonstrates each function's use. The offset function allows dynamic comparison of rows, the index function compares values to a specific index, and the window function enables dynamic calculations over a specified range. The tutorial encourages viewers to explore these functions to enhance DAX development.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three new DAX functions introduced in the video?

Offset, Index, Window

Filter, Sort, Group

Join, Merge, Split

Sum, Average, Count

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which version of Power BI introduced the new DAX functions?

November 2020

January 2021

December 2022

March 2023

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of creating a sales measure in Power BI?

To import data

To visualize data

To filter data

To calculate total sales

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to iterate over a table in DAX?

Count

SumX

Average

Sum

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the offset function allow you to do?

Offset values positively or negatively

Filter data

Calculate averages

Sort data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the offset function differ from traditional ranking methods?

It is more complex

It is slower

It is more dynamic and flexible

It is less dynamic

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the index function allow you to compare?

Values to a specific index

Values to a specific date

Values to a specific measure

Values to a specific category

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