What are the two key parameters for dimension distance type?

What are the two key parameters for dimension distance type?

• A. start_dimension, end_dimension
• B. start_location_field, end_location_field
• C. location_start, location_end
• D. start_point, end_point

Answer: (B)

The correct choice regarding the two key parameters for dimension distance type is based on the need to define the starting and ending points for calculating distances based on geographic data. The parameters "start_location_field" and "end_location_field" are specifically designed to reference the fields in your dataset that contain the geographic coordinates for the starting and ending locations, respectively. When working with geographic data in Looker, accurately identifying these fields is critical because they allow Looker to compute distance metrics between two points. This involves using various location-based calculations, which rely heavily on these designated fields. These parameters are essential for ensuring that the correct data is being used for distance calculations and allow for a clear configuration when creating dimensions that calculate distances based on geographic locations. In contrast, other choices use terminology that is not standard for defining distance metrics in Looker, which may lead to confusion about their application or may not follow the Looker LookML conventions for dimensional definitions. By selecting the correct terminology, one ensures clarity and consistency within LookML models.

The correct choice regarding the two key parameters for dimension distance type is based on the need to define the starting and ending points for calculating distances based on geographic data. The parameters "start_location_field" and "end_location_field" are specifically designed to reference the fields in your dataset that contain the geographic coordinates for the starting and ending locations, respectively.

When working with geographic data in Looker, accurately identifying these fields is critical because they allow Looker to compute distance metrics between two points. This involves using various location-based calculations, which rely heavily on these designated fields. These parameters are essential for ensuring that the correct data is being used for distance calculations and allow for a clear configuration when creating dimensions that calculate distances based on geographic locations.

In contrast, other choices use terminology that is not standard for defining distance metrics in Looker, which may lead to confusion about their application or may not follow the Looker LookML conventions for dimensional definitions. By selecting the correct terminology, one ensures clarity and consistency within LookML models.