IA ci laaj ak tontu ci musiba

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. What does Google's Flood Hub provide to its users?
   • A guarantee that every flood is predicted perfectly
   • Model-based flood forecasts and related location-specific information
   • Physical flood barriers constructed by software
   • Automatic confirmation of every social-media report
2. Nan la sistemu IA yi di xayma loraange yi ci tabax ginaaw musiba?
   • Ni ñuy laajte bépp dëkk kat
   • Sooy xalaat ci xibaar yi
   • Ni ñuy lim woote yi ci telefon
   • Ci gis-gis coppite méngale nataal balaa ak ginaaw
3. What modeling approach is central to the GraphCast weather-forecasting study?
   • A graph neural network trained for global weather forecasting
   • A rule that no weather observations are needed
   • A speech-only transcription model
   • A guarantee of identical performance on every hazard and machine
4. Lan moo waral xeetu tontu ci musiba yi mëna xeex ak xew-xew yu bees yi?
   • Musiibay musiba barina lool
   • Ci ete bi kese lañuy liggéey
   • Royuwaay yiñ tàggat ci xew-xew yu yàgg yi mën nañu baña yamale ci xew-xew yu bees yi
   • Soxla wuñu benn done tàggat
5. What disaster-information function did the AIDR project demonstrate for microblog messages?
   • Guaranteed automatic verification of every message's location and truth
   • Prediction of all future earthquakes from punctuation
   • Replacement of every responder's decision with a text label
   • Supervised classification of crisis-related messages using labeled examples
6. Why should a disaster-information workflow account for communication and power dependencies?
   • Every network is guaranteed to remain available during an event
   • Infrastructure disruptions can prevent the workflow from receiving or sharing needed data
   • Power supply never affects communication equipment
   • A model's confidence restores damaged infrastructure automatically
7. What should a crisis-message classification label establish by itself?
   • That the claimed need is definitely current and verified
   • That every reported location has been measured precisely
   • Only the model's classification, with the post's time, location, and factual support still needing assessment
   • That the message must be genuine because it contains a disaster keyword
8. Why is a difference between pre- and post-event satellite images not automatically proof of building damage?
   • Image timing, alignment, visibility, and other scene changes can also affect the comparison
   • Every changed pixel has exactly one possible cause
   • The image file extension establishes a physical damage class
   • No post-event image can contain any useful evidence