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.True
• B.False

Correct Answer: A

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.

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Which type of chart can you create without using a dimension?

• A.Stacked bar
• B.Highlight table
• C.Bar
• D.Treemap

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You may create a context filter to:

• A.To create a dependent filter
• B.Improve performance
• C.To replace a data source filter
• D.Create a dependent numerical or top N filter

Correct Answer: B,D

Important question! You cannot use a context filter to replace a data source filter since each filter type has its own use case. Also, a content filter is an Independent filter and all other filters are called dependent since they only process the data that passes through a context filter.
According to the official documentation :

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True or False : Bins can be created on dimensions

• A.False
• B.True

Correct Answer: B

Bin are a user-defined grouping of numerical data in the data source.
According to the official Tableau documentation: It's sometimes useful to convert a continuous measure (or a numeric dimension) into bins.
Have a look at the following image. When we right click a measure, we get the following options:

However, for a dimension (this is because the DATA TYPE of this dimension is a string:

But what if we have a dimension of type NUMBER (NUMERIC DIMENSION)? See below:

We can clearly create bins from dimensions too - they just have to be numeric :) For more information, please refer to
1: https://help.tableau.com/current/pro/desktop/en-us/calculations_bins.htm

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Which of the following situations describe the best reason to use a union?

• A.You have two tables with similarly named columns of data that you want to combine.
• B.You have two data sets with similar data types for which you want to find only distinct values.
• C.You have two tables with differently named columns of data that you want to combine.
• D.You have two data sets saved in different formats that you want to unify into a single format.

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