Kedis ku xidhan hagaha · Dhexdhexaad Heerka

MLflow iyo Model Kediska Dabagalka Wareegga Nolosha

Ku celceli tijaabada tijaabada MLflow, baakaynta moodeelka, iyo tixraacyada nooca diiwaanka, oo ay ku jiraan doorka naanaysiyada ee socodka shaqo geynta moodeelka.

Wadooyinka haga ee la xidhiidhaMlflow iyo Model Dabagalka Wareegga Nolosha
Su'aal 1 ee 8

Waa maxay dhibaatada aasaasiga ah ee MLflow Tracking u xalliyo saynisyahannada xogta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay dhibaatada aasaasiga ah ee MLflow Tracking u xalliyo saynisyahannada xogta?
    • Si toos ah ugu calaamadeynaya xogta tababarka cayriinka ah
    • Sirta miisaannada moodada ee nasashada
    • Haysashada diiwaanka isbarbardhigga ee cabbirrada, cabbirka, iyo farshaxannada guud ahaan tijaabooyin badan oo tijaabo ah
    • Beddelida baahida kooxda Kubernetes
  2. Which MLflow component stores registered model versions and their tags or aliases?
    • Diiwaanka Modelka
    • The learning-rate scheduler
    • The training-data labeler
    • The Kubernetes pod scheduler
  3. Maxay ka dhigan tahay in MLflow uu yahay 'framework-agnostic'?
    • Kaliya waxay la shaqeysaa TensorFlow
    • Waxay u baahan tahay in moodooyinka dib loogu qoro luqad gaar ah
    • Waxa ay ku shaqaysaa oo kaliya Databricks
    • Waxay ka shaqeysaa maktabado badan oo ML ah sida scikit-learn, PyTorch, iyo XGBoost
  4. Waa maxay ujeedada qaabka MLflow?
    • Si loo cadaadiyo xogta tababarka
    • Si loo duubo moodal tababaran oo leh dhadhan qaabaysan iyo xog-ururin si loo geeyo siyaabo badan
    • Si loo jadwaleeyo shaqooyinka dib-u-tabaridda
    • Si loo sawiro lakabyada shabakada neerfaha
  5. Shirkaddee abuurtay MLflow?
    • Duubista xogta
    • Google
    • Netflix
    • Amazon
  6. Sidee MLflow u fidaysaa si ay u taageerto codsiyada AI ee wax-soo-saarka?
    • Adigoo hoos u dhigaya taageerada moodooyinka caadiga ah ee ML
    • Adigoo noqonaya badeecad il-xidhan
    • Iyadoo la beddelayo dhammaan qaab-dhismeedka tababarka
    • Adigoo ku dara raadinta, maaraynta degdega ah, iyo qiimaynta abka LLM
  7. A deployment resolves an MLflow model through a champion alias. What can reassignment of that alias change?
    • The recorded metrics inside every old experiment
    • The registered model version that the named reference resolves to
    • The model framework of all stored artifacts
    • The training labels in a historical dataset
  8. Two MLflow runs use different learning rates. What record helps compare their validation results?
    • Only the wall color of the training room
    • A registry alias without any run information
    • Each run’s logged parameters and validation metrics
    • A notebook filename without the experiment outputs