Pipeline yu Ingénieur yu am solo ak Quiz buy soppi done

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

1. Lan mooy jubluwaay bu njëkk ci pipeline ingenieur?
   • Ngir denc poids model yuñ tàggat ngir jëfandikoo ci ëlëg
   • Ngir waajal liggéey GPU ci biir benn cluster
   • Ngir soppi done yu bees yi ci màndarga yiñ yamale, ab model dafay jëfandikoo
   • Encrypter ay done ci noppalukaay
2. Why compare a dataset’s content hash instead of relying only on its filename?
   • A hash guarantees every record is accurate
   • The filename can stay the same while its stored contents change
   • A filename contains all transformations
   • Hashing removes access restrictions
3. Ban xeetu structure lañuy faral di wane pipeline bi?
   • Benn limu laajte SQL yu plat yu wara dellu saa yu nekk
   • Tablo base de done relasionel
   • Reseau neuronal bu am ay couche yu nëbbu
   • Graaf asiklik buñ jubal (DAG) ci jéegoy coppite
4. A model behaves differently after a data update. What can version history help investigate?
   • Which data and transformation versions were used, with other runtime factors checked separately
   • A guaranteed identical rerun without environment records
   • Proof the update was authorized
   • A universal legal-compliance certificate
5. Ci yii, yan ci ñoom mooy misaalu jumtukaay biñ jëfandikoo ngir denc man-man yi wala defar ay done?
   • Fotoshop
   • Word
   • FFmpeg
   • Festival (wala DVC / LacFS)
6. Lan moo tax dafa am solo ñu am benn logique ci di dox ci diiru tàggat yaram ak ci diiru liggéey bi yépp?
   • Ngir wàññi njëgu dencukaay cloud
   • Ngir defar model bi mu gëna rëy te gëna dëggu ci saasi
   • Ngir mëna wax ni model bi dafay gis màndarga yiñ xayma ci anam wu méngoo, ba noppi moytu tàggat/serwiis bu méngoowul
   • Ndax serwëru liggéey mënu doxal Python
7. A team has the same data and code but a changed random state. What remains possible?
   • Different computed outputs despite matching versions
   • Versioning forces every random choice to match
   • The dataset filename must change
   • All models become deterministic
8. A reviewer asks which input record and transform produced a feature at a particular time. What record addresses that question?
   • Only the final prediction text
   • Feature lineage with source, transform version and timestamp
   • Only the dataset filename
   • Only a model parameter count