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NEW QUESTION # 20
Which of these is not a valid attribute type in Sdf.ValueTypeNames?
Answer: A
Explanation:
Magic does not exist in USD type definitions.
NEW QUESTION # 21
What does this attribute represent?
---------------------------------------------------------------
＃Python
assetPath = prim.CreateAttribute("texture", Sdf.ValueTypeNames.Asset)
assetPath.Set(Sdf.AssetPath("textures/wood.png"))
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Answer: C
Explanation:
SdfAssetPath represents a reference to another file, such as a texture, model, or sublayer USD file.
NEW QUESTION # 22
You are a developer creating an OpenUSD exporter for an application that also supports import of USD assets. To enable collaborative workflows, you're adding an "export as overrides" option.
Which approach correctly describes which structure your exporter should generate?
Answer: C
Explanation:
The correct exporter behavior is to generate sparse overrides that represent only the authored contribution of the current workstream. In OpenUSD data exchange workflows, an exporter should not blindly rewrite the full imported asset when the intent is to preserve collaborative, non- destructive editing. Instead, the exporter should author only the changes required to express the current application's contribution: modified prims, newly added prims, changed attributes, relationships, metadata, or other authored opinions.
Option A is correct because an over is specifically used to contribute opinions to an existing prim without redefining the entire prim structure. This allows the exported layer to sit above the source asset in a layer stack and override only the relevant data. Option B incorrectly equates sparsity with splitting each prim into separate referenced layers; USD sparsity is achieved by authoring minimal opinions, not by unnecessary layer fragmentation. Option C is incorrect because exporting full definitions for every prim and property would duplicate unchanged data, reduce clarity, and undermine USD's composition-based collaboration model. This maps to the NVIDIA OpenUSD Development Study Guide topics Data Exchange, especially exporter design, data transformation, sparse authoring, and collaborative layer-based workflows.
NEW QUESTION # 23
Why should asset structure be refined over time?
Answer: C
Explanation:
Asset structures are iterative and should evolve with project and team needs.
NEW QUESTION # 24
Which type is recommended for categorical values (e.g., "state=open") in USD?
Answer: A
Explanation:
Tokens are efficient for symbolic/categorical values.
NEW QUESTION # 25
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