quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci quiz ngir gis duggu ci reso bi

Saytu anamu siife ak gis anomali, etiketu saytu, njuumti tabaxaat autoencoder, man-mani dem bi ak xoolaat nit.

Yooni njiit yu jëm ciIA ci gis njuumte ci reso bi
Laaj 1 de 8

What can anomaly-based AI add to signature matching when previously unseen behavior appears?

Xoolaatal laaj bu nekk8 laaj

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

  1. What can anomaly-based AI add to signature matching when previously unseen behavior appears?
    • It can flag deviations from learned normal traffic for investigation, without guaranteeing detection of every new attack
    • It can prove a deviation is malicious without review
    • It can identify every attacker by name
    • It can replace all security monitoring
  2. Naka lay def ba gis-gis bu sukkandiko ci anomalie di xàmmee fitna yi?
    • Soo méngalee ab base de done bu ay siife virus yuñ xamee
    • Soo jàngee ni ñuy doxalee ci anam wu jaadu, nga xam fuñu ci jaar
    • Sooy tëj bépp trafik buñ enkripte
    • Sooy laaj jëfandikukat yi ñu firndeel lëkkaloo bu nekk
  3. naka la autoencoder mëna gis trafik bu jaarul yoon ci reso bi?
    • Dafay encrypter dem bi ak dikk bi ngir kaaraange
    • Dafay efaase ci saasi paket yiñ ñaaw njortu ci
    • Jumtukaay bu rëy ci tabaxaat siñaal yu bees yi ab anomali
    • Dafay xayma limu jëfandikukat yi ci net bi
  4. Lan mooy jafe-jafe bi gëna mag ci sistem yiy gis duggu ci IA?
    • Reseau yi dañu noppeeku lool ngir ñu mëna ko saytu
    • Ñàkum benn trafik ci reso bi ngir jàngat
    • Cong mu yomb lool ngir bind ay siife
    • Njuumteg positif yu bari di waral coono
  5. Lan moo waral désequilibre ci klaas yi nekk lu jaaxal nit ñi suñuy tàggat xeetu gis-gis yu jaarul yoon?
    • Ndax song yi bariwul luñu koy méngale ak dem bi ak dikk bi
    • Ndax barina xeeti jëfandikukat
    • Ndax reso yi amul bandwidth bu tolloo
    • Ndax bépp trafik dafay soxor
  6. Lan mooy misaalu jumtukaayu gis-gis bu lalu ci siife cosaan?
    • Fotoshop
    • Snort
    • Excel
    • Alfa Pli
  7. What is the main difference between supervised intrusion classification and anomaly detection in the guide?
    • Supervised models use no labels
    • Anomaly detection requires every attack type to be labeled
    • Supervised models learn from labeled attack examples; anomaly models can learn a normal-traffic baseline
    • Both methods only examine packet payload text
  8. Which traffic information can be used as model features in an intrusion detector?
    • Only the user’s password
    • Only the final alert color
    • The model’s GPU temperature
    • Packet sizes, connection durations, protocols and flow statistics