quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz ci Màngasin yu am solo

Jàngale jaar-jaaru manngasiinu man-man, seddaay ci net bi, ak boole entite yi, boole ci ni ñuy séddoo ay misaal di wàññi skew te duñu garanti ay dugal yu nuróo.

Yooni njiit yu jëm ciMàngasin yu am solo
Laaj 1 de 8

Why use shared feature definitions for training and online serving?

Xoolaatal laaj bu nekk8 laaj

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

  1. Why use shared feature definitions for training and online serving?
    • To guarantee every cached value is always fresh
    • To reduce skew caused by separate transformation implementations
    • To eliminate the need for timestamps
    • To choose a GPU model automatically
  2. Lan mooy wuutale bitik yi nekk ci net bi ak yi nekk ci net bi?
    • Offline dafay denc done yu yàgg ngir tàggat; ci net bi dafay joxe valeur yu mujj ci gaaw ngir wax luy am ci saasi
    • Offline mooy nataal yi, online mooy mbind yi
    • Dañuy nuru ci ay tur yu wuute
    • Dawal offline ci njeexte ayu-bis yi, daw online ci bësu ayu-bis yi
  3. Lan moo waral lëkkaloo yi am solo sooy tabax done tàggat yaram?
    • Dañuy tax base de done yi gëna gaaw
    • Dañuy tekki màndarga yi ci yeneen làkk
    • Dañuy tere ay done di sacc ci jëfandikoo ay valeur yu am solo ni ñu ko defee ci jamonoy xew-xew bu nekk
    • Dañuy wàññi dayo fichier model bi
  4. Which storage pattern commonly supports low-latency feature lookup by entity key?
    • An archival tape read for every request
    • A printed document catalog
    • A model-weight-only file
    • A key-value online store such as Redis or DynamoDB
  5. Luy 'manam' ci muy tekki?
    • Benn variable buñuy dugal bu juge ci ay done, lu melni ab diir bu ëpp 30 fan
    • ab bug ci kodu model bi
    • Kulòoru tablo bi
    • Benn xeetu GPU
  6. Lan mooy njariñu katalog man-man yiñ bokk?
    • Dafay efaase ci saasi done yu yàgg yi waxtu wu nekk
    • Dafay wecci bépp xeetu tàggat yaram
    • Dafay may yeneen model ñu gis man-man yiñ tabax ngir benn model ba noppi jëfandikoo leen
    • Dafay encrypter imeel liggéeyukaay bi
  7. A feature’s event time precedes a loan decision, but the value only arrived afterward. What must a historical training join consider?
    • Only whether its column name is short
    • A rule that every past event was already known
    • Only the current online value
    • Whether that value was actually available at prediction time
  8. An online feature has not been refreshed after new events arrived. Which property should a feature-store monitor inspect?
    • The font size of the registry page
    • Feature freshness relative to the prediction’s needs
    • The model’s number of attention heads only
    • Whether the feature name contains a digit