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Edge Yapay Zeka Testi

Yerel ve uzak görevler, cihaz kaynakları, sürekli testler, sıkıştırma kontrolleri, gizlilik akışları ve güvenli güncelleme planları aracılığıyla uç yapay zekayı değerlendirin.

İlgili kılavuz yollarıKenar Yapay Zekası
Soru 1 arasında 8

Which deployment is an example of edge AI?

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Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

  1. Which deployment is an example of edge AI?
    • Processing close to where data is collected or used, such as a phone or local gateway
    • Training a model only on a central server
    • Using a larger model than the cloud
    • Disabling all connectivity
  2. An application must work offline. What should its design include?
    • An assumption that every service is local
    • A useful failure mode for functions that still need remote retrieval
    • A larger model by default
    • A permanent network connection
  3. An edge feature has 2 GB available, 1.2 GB of weights, and 0.6 GB of temporary buffers. What remains before other feature needs?
    • 0.8 GB, because only weights count
    • 1.4 GB, because weights use no runtime memory
    • 0.2 GB, leaving little margin for other needs
    • 2 GB, because buffers are outside the budget
  4. A short device benchmark looks good. What could it miss?
    • Only the original model download time
    • Only the peak arithmetic rating
    • Only the model weight-file size
    • Thermal throttling and competition with other applications over time
  5. After quantizing a model to fit a device, what should be checked?
    • Only the new file size
    • Task performance on difficult inputs and intended environmental conditions
    • Whether the model loads once
    • A benchmark from another device
  6. A phone performs local inference but syncs logs to a server. What does this imply for privacy review?
    • Privacy review is unnecessary
    • Local inference means no data leaves the device
    • Logs and synchronization still need controls
    • The app is fully offline
  7. Why does the guide recommend versioning models?
    • To identify which model version ran on each device
    • To prevent all updates
    • To hide device resource use
    • To change the battery capacity
  8. What should an update plan include for intermittently connected devices?
    • Deleting the previous version before validation
    • A requirement that devices never reconnect
    • An unverified moving model
    • A safe update or rollback path