Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

Ẹya ara ẹrọ Pipelines ati Data Versioning adanwo

Test data transformations, content-based versions, DAG dependencies, feature parity, lineage records, and reproducibility limits.

Jẹmọ itọsọna awọn ọnaẸya-ara Engineering Pipelines Ati Data Versioning
Ibeere 1 ti 8

Kini idi akọkọ ti opo gigun ti imọ-ẹrọ ẹya?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Kini idi akọkọ ti opo gigun ti imọ-ẹrọ ẹya?
    • Lati fipamọ awọn iwọn awoṣe ikẹkọ fun imuṣiṣẹ nigbamii
    • Lati ṣeto awọn iṣẹ GPU kọja iṣupọ kan
    • Lati yi data aise pada si awọn ẹya ti a ṣeto si awoṣe n gba
    • Lati encrypt awọn datasets ni isinmi
  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. Opo opo gigun ti ẹya kan jẹ aṣoju igbagbogbo gẹgẹbi iru igbekalẹ?
    • Atokọ alapin kan ti awọn ibeere SQL ti o gbọdọ tun ṣiṣẹ ni gbogbo igba
    • A ibatan database tabili
    • Nẹtiwọọki nkankikan pẹlu awọn fẹlẹfẹlẹ ti o farapamọ
    • Aworan acyclic ti a darí (DAG) ti awọn igbesẹ iyipada
  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. Ewo ninu iwọnyi jẹ ọpa apẹẹrẹ ti a lo ni pataki fun awọn ile itaja ẹya tabi ti ikede data?
    • Photoshop
    • Microsoft Ọrọ
    • FFmpeg
    • Àsè (tabi DVC / LakeFS)
  6. Kini idi ti o ṣe pataki pe ọgbọn ẹya kanna ṣiṣẹ lakoko ikẹkọ mejeeji ati iṣelọpọ?
    • Lati dinku iye owo ipamọ awọsanma
    • Lati jẹ ki awoṣe tobi ati deede diẹ sii laifọwọyi
    • Lati rii daju pe awoṣe n rii awọn ẹya iṣiro nigbagbogbo ati yago fun ikẹkọ / ṣiṣe awọn aiṣedeede
    • Nitori awọn olupin iṣelọpọ ko le ṣiṣẹ 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