_________________ are a local copy of a subset or entire data set that you can use to share data with others, when you need to work offline, and improve performance.

• A..twb files
• B..tbm files
• C..twbx files
• D..tde files

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Which of the following sets would you use to compare the members?

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

Correct Answer: D

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.
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When there are both negative and positive values for a field, the default range of values will use two color ranges. This is known as a ______________ palette.

• A.reversed
• B.stepped
• C.diverging
• D.converging

Correct Answer: C

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Dragging a ______________ to colour creates distinct colours for each item whereas dragging a
______________ to colour creates a gradient

• A.Discrete value, Continuous Value
• B.Geographic Value, Discrete Value
• C.Continuous Value, Discrete Value
• D.Longitude, Latitude

Correct Answer: A

Remember that dragging a discrete value to colour creates distinct colours for each item whereas dragging a continuous value to colour creates a gradient. ( Same for Map ) From the official documentation:

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

• A.Data Cleanliness
• B.Data granularity
• C.Data connectivity
• D.Data LOD

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