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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional: OpenUSD Development (NCP-OUSD) |
| Exam Number: | NCP-OUSD |
| Exam Format: | Online proctored exam, Multiple choice, Scenario-based questions |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Related Certifications: | NVIDIA-Certified Professional Agentic AI NVIDIA-Certified Associate (NCA) Generative AI LLM NVIDIA-Certified Professional AI Infrastructure |
| Real Exam Qty: | 60โ70 |
| Available Languages: | English |
| Recommended Training: | OpenUSD Development Learning Modules Learn OpenUSD Training Path (NVIDIA) |
| Exam Registration: | NCP-OUSD Exam Registration Official NVIDIA Certification Page |
| Sample Questions: | NVIDIA NCP-OUSD Sample Questions |
| Exam Way: | Online proctored exam (remote delivery via Certiverse platform) |
| Pre Condition: | 2โ3 years of experience with OpenUSD and Python or C++ programming, or completion of official NVIDIA study materials |
| Official Syllabus URL: | https://www.nvidia.com/en-eu/learn/certification/openusd-development-professional/ |
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NEW QUESTION # 50
Consider a task where a Mesh prim needs to have its points property subdivided to achieve a higher quality of deformation. Which of the following is correct?
Answer: A
Explanation:
When a process changes the topology or point count of a mesh, it must also update dependent geometric data whose interpolation depends on the mesh's element counts. OpenUSD primvars are not arbitrary side data; their array sizes and ordering are tied to interpolation mode. For mesh vertex interpolation, the primvar array provides one element for each point, in the same order as the mesh points array. For faceVarying interpolation, the primvar array follows the flattened faceVertexIndices order.
Option B is correct because subdividing or replacing points changes the data contract for non-constant primvars such as display color, UVs, normals, or other interpolated values. The process authoring the stronger points opinion must ensure that related primvars remain valid for the resulting geometry. Option A is incorrect because points is an attribute and can be overridden by stronger opinions; render-time subdivision through subdivisionScheme is a separate mechanism. Option C is incorrect because USD composition does not automatically resize or reinterpret primvar arrays to match newly authored points. This aligns with Data Modeling # Meshes, Points, Primvars, Interpolation, Topology, and Geometry Validity .
NEW QUESTION # 51
Consider the following HelloWorld.usda OpenUSD layer:
#usda 1.0
(
defaultPrim = "hello"
)
def Xform "hello"
{
double3 xformOp:translate = (4, 5, 6)
uniform token[] xformOpOrder = ["xformOp:translate"]
def Sphere "world"
{
float3[] extent = [(-2, -2, -2), (2, 2, 2)]
color3f[] primvars:displayColor = [(0, 0, 1)]
double radius = 2
}
}
What would be the output of the following Python snippet?
from pxr import Usd
refStage = Usd.Stage.CreateInMemory()
refSphere = refStage.OverridePrim("/refSphere")
refSphere.GetReferences().AddReference("./HelloWorld.usda")
print(refStage.GetRootLayer().ExportToString())
Answer: B
Explanation:
The Python snippet authors a reference opinion directly on the prim /refSphere in a new anonymous root layer. Usd.Stage.CreateInMemory() creates an empty stage, and OverridePrim("/refSphere") authors an over prim spec because no concrete type is being defined. The call refSphere.GetReferences().AddReference(".
/HelloWorld.usda") adds a reference composition arc to that same prim, so the root layer serializes the opinion as prepend references = @./HelloWorld.usda@.
Option C is correct because ExportToString() prints the authored contents of the root layer, not the fully expanded composed result of the referenced asset. The referenced HelloWorld.usda layer has defaultPrim =
"hello", so omitting a prim path in AddReference() targets the referenced layer's default prim. NVIDIA's reference documentation explains that a reference may omit the prim path when the referenced layer has a default prim, and the target prim will be resolved from that metadata. ( docs.nvidia.com ) Option A is incorrect because the reference is not authored under /hello; /hello exists only inside the referenced file. Option B is incomplete because it omits the reference metadata. This aligns with Composition # References, Default Prim, Layer Authoring, and Exported Layer Opinions .
NEW QUESTION # 52
Which of the following are true for SdfChangeBlocks? Choose two.
Answer: D
Explanation:
Strictly evaluated against the OpenUSD API contract, C is the only fully correct statement as written.
SdfChangeBlock groups multiple low-level Sdf edits so that change processing can be delayed and handled efficiently as one batch. The official API documentation states that opening a change block causes Sdf to delay notifications until the outermost block exits; notifications are queued, not permanently muted.
Therefore, A is incorrect. The same documentation gives a strong warning that it is not safe to use Usd or other downstream APIs while a change block is open, because those representations may be stale or may hold expired handles to Sdf objects. Therefore, querying mutating prims during the block is unsafe, making C correct.
Option B is incorrect because it explicitly says to use USD APIs inside the block, which the official guidance warns against. Option D is also incorrect because the intended safe authoring pattern is to gather required edits first, then apply them directly through the Sdf API inside the change block. This aligns with Pipeline Development # Efficient Authoring, Sdf Layers, SdfChangeBlock, Change Notification, and Bulk Scene Description Mutation .
NEW QUESTION # 53
What naming convention might indicate a public prim?
Answer: A
Explanation:
Capitalized prim names often indicate public-facing elements, while underscores can signal internal use.
NEW QUESTION # 54
Why is extract, transform, load (ETL) a useful design pattern for USD data exchange? Choose two.
Answer: C,D
Explanation:
ETL is useful for USD data exchange because it separates the problem into disciplined phases instead of forcing extraction, interpretation, optimization, and client-specific restructuring into one converter step.
NVIDIA's Learn OpenUSD data exchange guidance describes a two-phase approach, extract and transform, inspired by ETL. The extract phase should translate source data to OpenUSD as directly as possible, mapping source concepts to USD concepts to preserve the integrity and structure of the original data. The transform phase then applies optional changes such as user export options, content-structure changes, and optimizations for workflow or client performance.
Option B is correct because this separation of concerns makes converters easier to maintain, test, and adapt.
Option D is correct because the pattern preserves source fidelity first, then permits controlled tailoring for specific downstream needs. Option A is incorrect because NVIDIA explicitly notes that data exchange is typically lossy and not every data model maps directly. Option C is incorrect because the guide states there is no single content structure suitable for every organization or workflow. This aligns with Data Exchange # Two-Phase Data Exchange, Data Extraction, Data Transformation, Export Options, and Pipeline Adaptability .
NEW QUESTION # 55
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