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Free TDS-C01 Exam Braindumps (page: 3)

Page 3 of 56
PDF with 314 Questions

True or False: All rows from both tables are returned in an INNER JOIN

  1. True
  2. False

Answer(s): B

Explanation:

The INNER JOIN keyword selects all rows from both tables as long as there is a match between the columns. Consider 2 tables "Orders" and "Customers".
If there are records in the "Orders" table that do not have matches in "Customers", these orders will not be shown!


Reference:

https://www.w3schools.com/sql/sql_join_inner.asp



Is SUM a table calculation?

  1. Yes
  2. No

Answer(s): 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


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


Reference:

https://help.tableau.com/current/pro/desktop/en-us/calculations_tablecalculations_definebasic_runningtotal.htm



By default, measures placed in a view are aggregated by ____________.

  1. COUNT
  2. AVERAGE
  3. MEDIAN
  4. SUM

Answer(s): 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.


Reference:

https://help.tableau.com/current/pro/desktop/en-us/calculations_aggregation.htm



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

  1. Data Cleanliness
  2. Data granularity
  3. Data connectivity
  4. Data LOD

Answer(s): 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.


Reference:

https://www.tableau.com/about/blog/2018/6/data-prep-101-what-aggregate-function-and-how-do-you-combine-aggregated-data-89244



Page 3 of 56



Post your Comments and Discuss Tableau TDS-C01 exam with other Community members:

Emma commented on December 23, 2024
Really helpful for preparing the exam
FRANCE
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Wilson commented on August 22, 2024
Thanks for the brain dump
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Usra commented on August 16, 2024
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Anonymous
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Mark commented on May 25, 2024
Nice work. Really useful
Anonymous
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Agustin. commented on April 14, 2024
la respuesta del pregunta es la C, no la D.
Anonymous
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Agustin. commented on April 14, 2024
hola, alguien sabe si el examen es multiple choice?
Anonymous
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Anurag commented on March 30, 2024
The so called "premium version" seem to have all the questions and answers. I booked my exam and I almost saw 80 to 85% of the questions in my exam.
INDIA
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Agustin. commented on March 28, 2024
Buena, alguien recientementehizo el examen de especialist desktop?
Anonymous
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Ramchandra commented on February 08, 2024
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Ranjith commented on August 21, 2023
for question #118, the answer is option c. the screen shot is showing the drop down, but the answer is marked incorrectly please update . thanks for sharing such nice questions.
Anonymous
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Ayo Afolabi commented on September 19, 2023
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Ranjith commented on August 21, 2023
For question #118, The answer is option C. The screen shot is showing the drop down, but the answer is marked incorrectly Please update . Thanks for sharing such nice questions.
Anonymous
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