Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Data Sources in Tableau

Ultimate Tableau Desktop Course - Beginner to Advanced Bundle - Data Sources in Tableau

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial provides a comprehensive guide on connecting data sources in Tableau, explaining the differences between Live and Extract connections, and how to manage data visibility using filters. It also covers the use of the Data Interpreter for cleaning data and demonstrates basic and advanced data formatting techniques within Tableau.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when you add a second data connection in Tableau?

It merges with the first connection.

It is tagged with a different color.

It replaces the first connection.

It is tagged with the same color as the first.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which connection type in Tableau offers real-time updates?

Extract

Live

Static

Batch

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a drawback of using Extract connections in Tableau?

They require frequent refreshes for updates.

They do not support large datasets.

They cannot be used offline.

They are slower than Live connections.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can filters be useful when publishing a data source to Tableau Server?

They enhance data accuracy.

They simplify data queries.

They restrict data visibility.

They increase the data size.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Data Interpreter do in Tableau?

It cleans and organizes data.

It exports data to Excel.

It creates new data connections.

It generates visualizations automatically.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which file types are supported by the Data Interpreter in Tableau?

Excel, CSV, PDF, Google Sheets

Excel, CSV, JSON, Google Docs

Word, CSV, PDF, Google Docs

Excel, JSON, PDF, Google Sheets

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of pivoting data in Tableau?

To restructure data for visualization.

To change data types.

To delete unnecessary columns.

To merge multiple datasets.

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