Esri ArcGIS Pro Associate Pro Certification Practice Exam

Define Discrete Data.

1. Real-world features that have well-defined boundaries.

2. Data that changes continuously without interruptions.

3. Data that can only be represented in whole numbers.

4. Data that contains only categorical values.

The correct answer is: Real-world features that have well-defined boundaries.

The definition of discrete data revolves around the concept of distinct and separate values or observations. Real-world features that have well-defined boundaries are a clear example of discrete data. This type of data typically consists of countable, distinct categories or defined entities, such as the number of students in a classroom, the types of trees in a forest, or the number of cars in a parking lot. The other options do not accurately capture the essence of discrete data. Data that changes continuously without interruptions refers to continuous data, where values can take on any number within a range, not just whole numbers. The representation of data in whole numbers aligns more with the idea of integer data, which can include discrete data but is not exclusive to it. Finally, data that contains only categorical values refers to nominal or ordinal data types, which may or may not be discrete depending on the nature of the categories defined. Thus, having well-defined boundaries makes the first choice the most fitting definition of discrete data.