In AutoCAD, a spline curve is defined by control points that influence its shape. Which statement best describes the role of these control points?
Think about how a flexible wire bends when you place magnets near it.
Control points influence the shape of the spline by pulling the curve towards them, but the curve does not have to pass through these points.
You have a table of spline curves with their control points coordinates. Which DAX measure correctly calculates the total length of all spline curves assuming a function CalculateSplineLength() exists that takes control points as input?
SplineCurves[ControlPoints]
Think about summing lengths, not counting points or averaging.
The measure sums the length of each spline curve calculated from its control points.
You want to create a dashboard showing spline curves and their smoothness scores for different projects. Which visualization type best communicates this data clearly?
Consider clarity and ease of comparing scores and visuals.
A table with thumbnails and scores allows users to see the curve shape and compare smoothness side by side clearly.
Given this DAX measure to calculate spline length: TotalLength = SUMX(SplineCurves, CalculateSplineLength(SplineCurves[Points])), users report it returns zero for all curves. What is the most likely cause?
Check if the custom function is working as expected.
If the function returns zero, the sum will be zero regardless of data.
You have a large dataset of spline curves with thousands of control points each. Your dashboard is slow when calculating total spline length. Which data modeling approach will best improve performance?
Think about reducing calculation load inside Power BI.
Pre-calculating lengths outside Power BI avoids heavy calculations during report refresh or interaction, improving performance.
