Kediska ogaanshaha khiyaanada AI

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay sababta sharciyo go'an oo kali ah (tusaale, 'xeerka xannibaad ka badan $5,000') ay inta badan ugu filnaan la'yihiin khiyaanada?
   • Khiyaanadu waa iska hor imaad joogto ah oo isbedesha, markaa xeerarku waa duugaan
   • Aad bay qaali u yihiin in la qoro
   • Bangiyada looma ogola inay isticmaalaan xeerar
   • Sharciyadu waxay shaqeeyaan kaliya maalmaha fasaxa ah
2. 'Dhamaan la'aanta fasalka' ee ogaanshaha khiyaanada waxaa loola jeedaa xaqiiqda:
   • Waxaa jira bangiyada aad u badan
   • Wax kala iibsiga khayaanada waa qayb yar oo ka mid ah dhammaan wax kala iibsiga
   • Dhammaan macaamiishu waxay ku qaataan lacag isku mid ah
   • Xogta waxa lagu kaydiyaa faylka fasalka khaldan
3. 'Beenta togan' ee ogaanshaha khiyaamada macnaheedu waa:
   • Khiyaano dhab ah ayaa la seegay
   • Nidaamku wuu burburay
   • Wax kala beddelasho sharci ah ayaa si khaldan loogu calaamadeeyay khiyaano
   • Lacag nuqul ah ayaa dhacday
4. What challenge can neighbor-based message propagation create for a fraud GNN?
   • It guarantees every linked account is fraudulent
   • It removes all concept drift from the data
   • It prevents investigators from reviewing transactions
   • Neighbor and hub effects can amplify class-imbalance problems
5. Calaamadee ayaa tusaale u ah 'xawaaraha' ee la socodka wax kala iibsiga?
   • Lacago badan ayaa ku dhacaya dhowr daqiiqo gudahood
   • Maalinta dhalashada macmiilka
   • Midabka kaarka
   • Astaanta bangiga
6. What fraud typology did FinCEN’s 2024 deepfake alert describe?
   • Deepfakes that automatically reverse settled transactions
   • Deepfake media and fraudulent identity documents used to evade identity verification or authentication
   • A rule requiring banks to reject every voice call
   • Synthetic identities that prove a customer committed a crime
7. Why can accuracy be misleading for a highly imbalanced fraud dataset?
   • Accuracy is always equal to recall
   • Fraud labels are never used
   • A model can score high accuracy by predicting the majority legitimate class while missing fraud
   • The test set must contain no legitimate transactions
8. What is one reason a graph model can help identify linked fraud patterns?
   • It removes the need for labels or investigation
   • It proves that connected accounts are criminal
   • It guarantees real-time detection
   • It can represent relationships among accounts, transactions, or devices