Advanced Data Modelling

Advanced Data Modelling

Professional Development

7 Qs

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Advanced Data Modelling

Advanced Data Modelling

Assessment

Quiz

Computers

Professional Development

Practice Problem

Hard

Created by

WASIM SHAIKH

Used 9+ times

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7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Power BI, how can you create a relationship between two tables?

Using VBA macros

Creating a calculated column

Defining a relationship in the model

Using the Power Query Editor

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes Power Query in Power BI?

A data visualization tool

A query language for databases

A data transformation and connection tool

A programming language

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which option allows you to hide a relationship in Power BI's diagram view?

Delete the relationship.

Delete the relationship.

Right-click and choose "Hide"

Inactive the relationship.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which Power BI View help us see and edit the Relationship between the tables?

Report View

Data View

Model View

Query Editor

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between a fact table and a dimension table?

Fact tables contain observational data while dimension tables contain information about specific entities within the data.

Fact tables contain information about specific entities while dimension tables contain information about observational data.

There is no difference.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Choose the best answer to explain relationship cardinality?

Cardinality is the measure of unique values in a table.

Cardinality is the granularity of the data.

Cardinality is how long it takes for the data to load.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If you have two queries that have different data but the same column headers, and you want to combine both tables into one query with all the combined rows, which operation should you perform?

Append

Merge

Combine Column

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