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Tableau TDS-C01 Practice Test - Questions Answers, Page 3

List of questions

Question 21

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Is SUM a table calculation?

Yes
Yes
No
No
Suggested answer: B

Explanation:

SUM is an aggregate function, not a table calculation!

A table calculation is a transformation you apply to the values in a visualization. Table calculations are a special type of calculated field that computes on the local data in Tableau. They are calculated based on what is currently in the visualization and do not consider any measures or dimensions that are filtered out of the visualization.

The most common Table calculations are:

Running Total

Percent Difference

Difference

Percent of Total

Rank

Percentile

Tableau TDS-C01 image Question 21 explanation 76364 09232024004744000000

Tableau TDS-C01 image Question 21 explanation 76364 09232024004744000000

These can be calculated using : Table(across), Cell, or Specific dimensions!

asked 23/09/2024
Mohamed Nacer Ferhi
41 questions

Question 22

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By default, measures placed in a view are aggregated by ______________

COUNT
COUNT
AVERAGE
AVERAGE
MEDIAN
MEDIAN
SUM
SUM
Suggested answer: D

Explanation:

By default, measures placed in a view are aggregated by SUM, which means that the data for that field in all of the rows is combined. Measures can also be aggregated as average, median, count, or count distinct.

asked 23/09/2024
Henri Sanrame
35 questions

Question 23

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______________ refers to the level of detail for a piece of data, wherever you are looking.

Data Cleanliness
Data Cleanliness
Data granularity
Data granularity
Data connectivity
Data connectivity
Data LOD
Data LOD
Suggested answer: B

Explanation:

Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.

asked 23/09/2024
Instel SL
28 questions

Question 24

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For Bullet Graphs we need at least ____________ measures

3
3
1
1
2
2
4
4
Suggested answer: C

Explanation:

A bullet graph is a variation of a bar graph developed to replace dashboard gauges and meters. A bullet graph is useful for comparing the performance of a primary measure to one or more other measures.

Therefore, we need at least 2 measures for creating bullet graphs.

Tableau TDS-C01 image Question 24 explanation 76367 09232024004744000000

asked 23/09/2024
mohamed elfateh
34 questions

Question 25

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The default path for all supporting files, data sources, icons, logs etc is in ______________________

Documents -> Tableau Files
Documents -> Tableau Files
Documents -> Tableau
Documents -> Tableau
Documents -> My Tableau Repository
Documents -> My Tableau Repository
Downloads -> Tableau Support Files
Downloads -> Tableau Support Files
Suggested answer: C

Explanation:

By default, all of the above mentioned are stored in Documents -> My Tableau Repository

asked 23/09/2024
Ahmed Dawoud
41 questions

Question 26

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Tableau auto-generates ____________ dimension(s) and _____________ measure(s) for us

1 , 4
1 , 4
2 , 2
2 , 2
2 , 3
2 , 3
1 , 2
1 , 2
Suggested answer: A

Explanation:

Tableau auto-generates :

1 Dimension - Measure Names

4 Measures - Latitude, Longitude, Number of records, Measure Values

Starting with Tableau 2020.2, every table in a data source has a Count field, in the form of NameofTable(Count). The table count field is an automatically generated, calculated field. (THIS IS NOT PRESENT IN VERSION 2020.1 ON WHICH THE EXAM IS CURRENTLY BASED)

asked 23/09/2024
Olugbenga Fagbohun
40 questions

Question 27

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We can join a maximum of ______ tables in Tableau

16
16
32
32
64
64
128
128
Suggested answer: B

Explanation:

It is possible to join a maximum of 32 tables in Tableau!

asked 23/09/2024
Jordan Fredriksz
33 questions

Question 28

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Which of the following are benefits of using Data Extracts in Tableau?

Improved Performance
Improved Performance
Ability to use the data offline
Ability to use the data offline
Working with freshest data at all times
Working with freshest data at all times
Faster to work with
Faster to work with
Suggested answer: A, B, D

Explanation:

Extracts are advantageous for several reasons:

1) Supports large data sets: You can create extracts that contain billions of rows of data.

2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.

3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.

4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.

5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.

To work with the MOST up-do-date data, use a live connection instead!

asked 23/09/2024
Manohar M
41 questions

Question 29

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When you want to first apply a filter and THEN show the Top N or Bottom N elements, which of the following filters would you use?

Data source Filter
Data source Filter
Extract Filter
Extract Filter
Context Filter
Context Filter
None of the these
None of the these
Suggested answer: C

Explanation:

IMPORTANT QUESTION, PAY ATTENTION

By default, all filters that you set in Tableau are computed independently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view. You can think of a context filter as being an independent filter. Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.

You may create a context filter to:

1) Improve performance -- If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.

2) Create a dependent numerical or top N filter -- You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.

asked 23/09/2024
Darshak Ramdevputra
31 questions

Question 30

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You have cleaned a data source properly, created some calculated fields and renamed some columns. You want to save these changes for future use cases. Which of the following would BEST satisfy this requirement?

Save it as a .twm file
Save it as a .twm file
Save it as a .twb file
Save it as a .twb file
Save it as a .tds file
Save it as a .tds file
Save it as a .twbx file
Save it as a .twbx file
Suggested answer: C

Explanation:

After making changes to Data, we can save that new data source as a .tds file. To do so, go to data menu on top and then choose your current connected data source. Then next click on Add to Saved Data sources. This will save all calculated fields, changes to fields etc. It will be saved in My Tableau Repository -> Mydatasources. This will then also appear on Tableau Home Page under saved data sources like SampleSuperStore.

Note: Data source files do not contain the actual data but rather the information necessary to connect to the actual data as well as any modifications you've made on top of the actual data such as changing default properties, creating calculated fields, adding groups, and so on.

.twb and .twbx are not the BEST solutions since the questions nowhere mentions that we need to store our workbooks as well.

.twm is a bookmark which contains a single worksheet and are an easy way to quickly share your work.

asked 23/09/2024
Alpesh Panchal
20 questions
Total 318 questions
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