quiz bu lëkkale ak tegtal · Diggante Niveau

MLflow ak quiz buy topp dundu model

Jàngale topp jàngat MLflow, emballage model, ak royuwaayi versioŋu registre, boole ci cër bi pseudo yi ci def liggéeyu jëfandikoo model.

Yooni njiit yu jëm ciMlflow ak model topp dundu
Laaj 1 de 8

Ban jafe-jafe bu njëkk la MLflow Tracking di saafara ci gëstukati done yi?

Xoolaatal laaj bu nekk8 laaj

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

  1. Ban jafe-jafe bu njëkk la MLflow Tracking di saafara ci gëstukati done yi?
    • Etiketu ci saasi done tàggat yu ñor
    • Encrypter poids model ci repos
    • Fexe am dokimaa yuñ mëna méngale ci wàllu parametre, metrics ak mbiri artfact ci jàngat yu bari
    • Wecci soxla ab cluster Kubernetes
  2. Which MLflow component stores registered model versions and their tags or aliases?
    • Registre model bi
    • The learning-rate scheduler
    • The training-data labeler
    • The Kubernetes pod scheduler
  3. Lumuy tekki ni MLflow 'amul benn kaadar'?
    • TensorFlow rek lay dox
    • Dafay laaj nga binndaat ay model ci làkk wiñ tànn
    • Dafay dox ci Databricks
    • Dafay dox ci bibliotek ML yu bari yu melni scikit-jàng, PyTorch, ak XGBoost
  4. Luy njariñu formaa Model MLflow?
    • Ngir wàññi done tàggat yaram
    • Ngir boole ab model buñu tàggat ak cafka kaadar bi ak metadone yi suko defee ñu mëna ko jëfandikoo ci anam yu bari
    • Ngir jàppale liggéey yi ñuy tàggataat
    • Ngir xool ay lalu reso neuronal
  5. Ban liggéeyukaay moo defar MLflow?
    • Brik de done
    • Google
    • Netflix
    • Amazon
  6. naka la MLflow di yaatoo ngir jàppale aplikaasioŋu IA yiy defar?
    • Dañu bàyyi jàppale xeetu ML yu yàgg yi
    • Nekk produit bu tëju
    • Ni ñuy wecci bépp kaadar tàggat yaram
    • Soo yokke topp, yoriinu gaaw, ak jàngat ngir aplikaasioŋu 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