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| Certification Vendor: | NVIDIA |
|---|---|
| Exam Name: | NVIDIA-Certified Professional: OpenUSD Development (NCP-OUSD) |
| Exam Number: | NCP-OUSD |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 60–70 |
| Related Certifications: | NVIDIA-Certified Professional AI Infrastructure NVIDIA-Certified Professional Agentic AI NVIDIA-Certified Associate (NCA) Generative AI LLM |
| Certificate Validity Period: | 2 years |
| Exam Format: | Online proctored exam, Scenario-based questions, Multiple choice |
| Available Languages: | English |
| Exam Price: | $200 USD |
| Recommended Training: | Learn OpenUSD Training Path (NVIDIA) OpenUSD Development Learning Modules |
| Exam Registration: | Official NVIDIA Certification Page NCP-OUSD Exam Registration |
| Sample Questions: | NVIDIA NCP-OUSD Sample Questions |
| Exam Way: | Online proctored exam (remote delivery via Certiverse platform) |
| Pre Condition: | 2–3 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 # 19
Which of the following statements about debugging complex LIVRPS scenarios are correct?
Answer: B
Explanation:
Option A is correct because local opinions are the strongest opinions in USD composition strength ordering.
NVIDIA's Learn OpenUSD strength-ordering guide describes LIVRPS, now also written as LIVERPS with relocates included, as the ordered set of composition operations used to determine which opinions win. The order is strongest to weakest: local , inherits, variant sets, relocates, references, payloads, and specializes.
When debugging an unexpected value, local opinions should be inspected first because a directly authored opinion in the local layer stack can override opinions arriving through other composition arcs. NVIDIA's tracing guidance also highlights how complex composition debugging becomes when many prims, properties, layers, and arcs contribute competing opinions.
Option B is false because specializes arcs are not unoverrideable; they are the weakest fallback-style opinions in the composition order. Option C is false because references are stronger than payloads in LIVRPS
/LIVERPS ordering, so checking payloads before references reverses the standard diagnostic priority. This aligns with Debugging and Troubleshooting # LIVERPS Strength Ordering, Local Opinions, References, Payloads, Specializes, and Composition Diagnostics .
NEW QUESTION # 20
It fails at runtime complaining about invalid token characters. What should you do?
---------------------------------------------------------------
＃Python
attr = prim.CreateAttribute("materialType", Sdf.ValueTypeNames.Token)
attr.Set("wood-grain-high") # ASCII string
---------------------------------------------------------------
Answer: A
Explanation:
Token is an interned identifier with restricted charset (no spaces, certain punctuation). Either sanitize to a valid token (e.g., wood_grain_high) or use String.
NEW QUESTION # 21
Which of the following statements about Subcomponents is correct?
Answer: C
Explanation:
Subcomponents highlight significant prims inside Components, but they are not formal kinds.
NEW QUESTION # 22
Why might a resolver warning occur and how to fix?
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#Python
tex = prim.CreateAttribute("albedoTex", Sdf.ValueTypeNames.Asset)
tex.Set("textures/albedo.png")
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Answer: D
Explanation:
asset expects an SdfAssetPath value so the resolver can track/resolve it. Wrap the string: tex.Set(Sdf.AssetPath("textures/albedo.png")).
NEW QUESTION # 23
Which metadata defines the default entry point in an asset?
Answer: B
Explanation:
The defaultPrim metadata tells OpenUSD which prim should be used as the main entry point.
NEW QUESTION # 24
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