Unreal Engine Risk Assessment & Management 2 — Questions and Answers
Question 1: When assessing performance risk in a large open-world Unreal Engine project, which metric is the most critical early warning indicator?
- Total polygon count in the scene
- GPU frame time exceeding the target budget per frame (Correct answer)
- Number of Blueprint nodes in the project
- Total project asset file size on disk
Correct answer: GPU frame time exceeding the target budget per frame
GPU frame time directly reflects whether the rendering workload fits within the target frame budget, making it the primary performance risk signal.
Question 2: A team is using Lumen global illumination in a shipping title. What is a key risk associated with Lumen that should be assessed before committing to it?
- Lumen requires a dedicated GPU shader compiler
- Lumen does not support point lights
- Lumen has limited support on older hardware and mobile platforms (Correct answer)
- Lumen conflicts with Nanite geometry
Correct answer: Lumen has limited support on older hardware and mobile platforms
Lumen's hardware ray-tracing path requires DX12/Vulkan and modern GPUs, making it a platform compatibility risk for projects targeting older hardware or mobile.
Question 3: Which Unreal Engine tool is best suited for identifying which assets are contributing most to cook time risk during a build pipeline audit?
- Reference Viewer
- Asset Audit window
- Cook on the Fly server logs
- Derived Data Cache (DDC) stats (Correct answer)
Correct answer: Derived Data Cache (DDC) stats
DDC stats reveal which assets are missing cached derived data and must be reprocessed, pinpointing the primary contributors to slow cook times.
Question 4: What risk does enabling 'Always Cook' for a large texture in Unreal Engine's packaging settings introduce?
- The texture will be excluded from shipping builds
- Unused textures may inflate package size and extend build times unnecessarily (Correct answer)
- The texture's compression format will be locked to DXT1
- Always Cook bypasses the texture streaming pool
Correct answer: Unused textures may inflate package size and extend build times unnecessarily
Marking assets as Always Cook forces them into every build regardless of usage, increasing package size and cook time even if the asset is never loaded at runtime.
Question 5: During risk assessment for a multiplayer Unreal Engine game, which server-side issue poses the greatest risk to game integrity?
- High texture resolution on server
- Client-authoritative movement with no server validation (Correct answer)
- Using Blueprints instead of C++ for game logic
- Lack of a dedicated asset streaming manager
Correct answer: Client-authoritative movement with no server validation
Client-authoritative movement without server-side validation is a critical security and integrity risk, enabling cheating via speed hacks and position manipulation.
Question 6: A project uses many Unreal Engine plugins from the Marketplace. What risk management practice should be applied before each engine upgrade?
- Disable all plugins before upgrading
- Verify each plugin's compatibility with the new engine version before upgrading (Correct answer)
- Convert all Marketplace plugins to C++ source plugins
- Archive the plugins to source control before deleting them
Correct answer: Verify each plugin's compatibility with the new engine version before upgrading
Marketplace plugins may not immediately support new engine versions, so checking compatibility prevents build failures and blocking the upgrade process.
Question 7: When managing technical debt risk in a large Unreal Engine Blueprint project, what is the most effective mitigation strategy?
- Delete all Blueprint logic and rewrite in C++
- Regularly profile Blueprint performance and refactor hot paths to C++ as needed (Correct answer)
- Limit Blueprint graphs to 10 nodes each
- Use only Function Libraries and avoid Event Graphs
Correct answer: Regularly profile Blueprint performance and refactor hot paths to C++ as needed
Profiling identifies which Blueprint code is actually causing performance issues, allowing targeted C++ refactoring rather than blanket rewrites.
Unreal Engine Risk Assessment & Management 2
When assessing performance risk in a large open-world Unreal Engine project, which metric is the most critical early warning indicator?