Feature Injiniya Pipelines uye Data Versioning Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndechipi chinangwa chekutanga chepombi yeinjiniya?
   • Kuchengeta maremu emuenzaniso akadzidziswa kuti aendeswe mberi
   • Kuronga mabasa eGPU mukati meboka
   • Kushandura data rakasvibirira kuita rakarongeka maficha anoshandisa modhi
   • Kuti encrypt datasets pakuzorora
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. Pombi yemhando inowanzomiririrwa serudzii rwechimiro?
   • A single flat list yeSQL queries iyo inofanirwa kudzokororwa nguva dzese
   • Tafura yedatabase yehukama
   • A neural network ine maseru akavanzika
   • Iyo inotungamirwa acyclic graph (DAG) yematanho ekushandura
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. Ndeipi yeiyi muenzaniso chishandiso chakanyatso shandiswa kune zvitoro zvezvinhu kana data vhezheni?
   • Photoshop
   • Microsoft Shoko
   • FFmpeg
   • Mabiko (kana DVC / LakeFS)
6. Sei zvakakosha kuti iyo yakafanana ficha logic inomhanya panguva yekudzidziswa uye kugadzira?
   • Kuderedza mutengo wekuchengetedza gore
   • Kuita kuti modhi ive yakakura uye yakanyatsojeka otomatiki
   • Kuve nechokwadi chekuti modhi inoona zvinogara zvakaverengerwa maficha uye inodzivirira kudzidziswa / kushandira mismatches
   • Nekuti maseva ekugadzira haakwanise kumhanya 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