Valid TDS-C01 Test Questions - TDS-C01 Valid Study Plan

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The TDS-C01 certification exam is beneficial for professionals who work with data and want to enhance their skills in using Tableau Desktop. Tableau Desktop Specialist certification is suitable for data analysts, business analysts, data scientists, and anyone who works with data visualization tools. Tableau Desktop Specialist certification is also beneficial for organizations that use Tableau Desktop as a data visualization tool, as it helps them identify skilled professionals who can help them make better use of their data.

Tableau TDS-C01 Certification Exam comprises of 36 multiple-choice questions and has a time limit of 120 minutes. TDS-C01 exam covers various topics including connecting to and preparing data, creating and publishing data visualizations, and working with Tableau calculations. TDS-C01 exam is conducted online and can be taken from anywhere with an internet connection. Upon successful completion of the exam, candidates are awarded the Tableau Desktop Specialist Certification.

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Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is a professional certification for those who want to demonstrate their proficiency in using Tableau Desktop. Tableau Desktop is a powerful data visualization tool that allows users to create interactive dashboards, visualizations, and reports from various data sources. Tableau Desktop Specialist certification exam is designed to test the skills and knowledge required to effectively use Tableau Desktop to analyze data, create compelling visualizations, and communicate insights to stakeholders.

Tableau Desktop Specialist Sample Questions (Q94-Q99):

NEW QUESTION # 94
True or False: Context Filters are executed after Data Source filters

A. False
B. True

Answer: B

Explanation:
THIS IS A VERY IMPORTANT QUESTION
To answer this question, you need to understand Tableau's Order of Operations. See below and remember this always:

NEW QUESTION # 95
Which of the following are required to create a trend line?

A. 1 measure only
B. 2 measures on opposing axes, or a date and a measure on
opposing axes.
C. 2 dimensions, or a date and a dimension on opposing axes.
D. 1 measure, or a date and a dimension on opposing axes.

Answer: B

Explanation:
To create a trend line, we need:

NEW QUESTION # 96
True or False: We can disaggregate the data, to see all of the marks in the view at the most detailed level of granularity

A. False
B. True

Answer: B

Explanation:
Whenever you add a measure to your view, an aggregation is applied to that measure by default. This default is controlled by the Aggregate Measures setting in the Analysis menu.
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can disaggregate the view. Disaggregating your data means that Tableau will display a separate mark for every data value in every row of your data source.
To disaggregate all measures in the view:
Clear the Analysis >Aggregate Measures option. If it is already selected, click Aggregate Measures once to deselect it.

NEW QUESTION # 97
Which of the following sets would you use to compare the members?

A. Static Sets
B. Dynamic Sets
C. Combined Sets
D. None of these

Answer: C

Explanation:
You can combine two sets to compare the members. When you combine sets you create a new set containing either the combination of all members, just the members that exist in both, or members that exist in one set but not the other.
Combining sets allows you to answer complex questions and compare cohorts of your data. For example, to determine the percentage of customers who purchased both last year and this year, you can combine two sets containing the customers from each year and return only the customers that exist in both sets.
To combine two sets, they must be based on the same dimensions. That is, you can combine a set containing the top customers with another set containing the customers that purchased last year. However, you cannot combine the top customers set with a top products set.

NEW QUESTION # 98
Which of the following can help us focus on specific data without removing data in the visualization?

A. Highlighters
B. Filters
C. Sets
D. Clusters

Answer: A

Explanation:
From the official documentation:
When you have a view with a large amount of data you might want to explore your data interactively and highlight a specific mark or group of marks while still maintaining the context of where those marks show in your view.
To do this you can turn on the Highlighter for one or more discrete fields that are included in your view and that affect the level of detail Example - Here we just want to focus on Public Affairs college dimension, but don't want to filter out or remove the rest of the data:

Note that filtering is not the correct option since that would REMOVE the data that doesn't match the filtering criteria.

NEW QUESTION # 99
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