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NEW QUESTION # 53
What is the main purpose of a variant set in USD?
Answer: C
Explanation:
Variant sets allow authors to provide multiple alternative configurations for the same prim.
NEW QUESTION # 54
Which statement accurately describes a key difference between native instancing and point instancing?
Answer: D
Explanation:
The key distinction is addressability and representation. Native, or scenegraph, instancing preserves each instance as a prim in the composed scene hierarchy. Each instance root can have its own path, transform, metadata, and root-level refinements while sharing an implicit prototype generated from matching instanceable composition. OpenUSD's scenegraph instancing documentation explains that prims bringing in common scene description through composition arcs can share those composed subgraphs rather than duplicating them per prim.
Point instancing, by contrast, is a vectorized representation. NVIDIA's instancing guide states that point instancing represents repeated instances through array attributes such as positions, orientations, scales, prototype indices, and prototype relationships. It is more compact because it does not require a prim for each instance , but this comes with reduced flexibility and addressability.
Option D is correct because native instances remain individually addressable scenegraph prims, while point instances are addressed through array elements and IDs rather than unique prim paths. A reverses prototype behavior: native instancing uses implicit prototypes, while point instancing uses explicit prototype relationships. B and C impose restrictions that do not exist. This aligns with Content Aggregation # Scenegraph Instancing, PointInstancer, Prototypes, Addressability, and Scalable Repetition .
NEW QUESTION # 55
What will be the composed value of /World/Tree/Canopy.primvars:displayColor when you open stage.usda?
#usda 1.0
(
defaultPrim = "World"
metersPerUnit = 1.0
upAxis = "Z"
)
def Xform "World"
{
def Xform "Tree" (
variantSets = ["foliage_color"]
variants = { string foliage_color = "default" }
)
{
def Cone "Canopy" (
references = [ < /_base_foliage_color > ]
)
{
double3 xformOp:translate = (0, 0, 1.3)
token[] xformOpOrder = ["xformOp:translate"]
}
def Cylinder "Trunk"
{
color3f[] primvars:displayColor = [(0.2, 0.1, 0.05)]
double3 xformOp:scale = (0.4, 0.4, 0.4)
token[] xformOpOrder = ["xformOp:scale"]
}
variantSet "foliage_color" = {
"default" {
}
"evergreen" {
over "Canopy"
{
color3f[] primvars:displayColor = [(0.05, 0.15, 0.05)]
}
}
"orange" {
over "Canopy"
{
color3f[] primvars:displayColor = [(0.5, 0.3, 0.05)]
}
}
}
}
}
class "_base_foliage_color"
{
color3f[] primvars:displayColor = [(0.2, 0.75, 0.1)]
}
Answer: A
Explanation:
The composed value is [(0.2, 0.75, 0.1)]. The active variant selection on /World/Tree is foliage_color =
"default", and the "default" variant contains no authored opinion for Canopy.primvars:displayColor.
Therefore, the "evergreen" and "orange" variant opinions are not active and cannot contribute their color values. NVIDIA's Learn OpenUSD variant-set guidance explains that a variant set provides alternative authored representations, but only the selected variant contributes to the composed result.
The remaining contributing opinion is the reference on def Cone "Canopy": references = [ <
/_base_foliage_color > ]. References are composition arcs that bring scene description from a targeted prim into the destination prim without copying it. The referenced class prim /_base_foliage_color authors color3f[] primvars:displayColor = [(0.2, 0.75, 0.1)], so that value composes onto /World/Tree/Canopy. No stronger local or selected-variant opinion overrides it. This follows USD strength ordering, where opinions are resolved through composition arcs and the strongest applicable opinion wins. This aligns with Composition # References, Variant Sets, Selected Variants, and LIVERPS Strength Ordering .
NEW QUESTION # 56
What is the default prim in a stage?
Answer: A
Explanation:
Default prim is explicitly set as the entry point prim.
NEW QUESTION # 57
Which type is recommended for categorical values (e.g., "state=open") in USD?
Answer: D
Explanation:
Tokens are efficient for symbolic/categorical values.
NEW QUESTION # 58
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