quiz bu lëkkale ak tegtal · Diggante Niveau

Ray ngir quiz IA buñ séddale

Saytu sa xam-xam ci liggéey Ray, aktër yi, royuwaayi mbir yi, bibliotek yiñ séddale, ak ni done mbir yi di toxalee ci biir benn cluster.

Yooni njiit yu jëm ciRay ngir IA buñ séddale
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Ban jafe-jafe la Ray njëkka saafara?

Xoolaatal laaj bu nekk8 laaj

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

  1. Ban jafe-jafe la Ray njëkka saafara?
    • Yaatu Python ak IA ci benn masin dem ci benn cluster bu mag te du am benn coppite ci kod bi
    • Etiketu nataal yi ci saasi
    • Fichier model
    • Defar ay architecture reso neuronal
  2. Ci Ray, lan mooy wuutale 'liggéey' ak 'aktër'?
    • Liggéey yi ngir nataal yi, aktër yi ngir bind
    • Liggéey mooy woo fonction parallèle bu amul etaa; aktër liggéeykat la bu yor réew
    • Dañuy nuru
    • Liggéey yi duñu dox ci CPU yi kese, aktër yi ci imprimante yi kese
  3. Lan la Ray di delloo ci saasi soo tàmbali liggéey bu sori?
    • Resultaa bi mujj, saa yu nekk
    • ab mesaasu njuumte
    • ëlëg (royuwaayu mbir) booy saafara ci ray.get()
    • Kopi cluster bi yépp
  4. Ban bibliotek Ray lañu jagleel seetug hyperparametre buñ séddale?
    • Ray Serve
    • Done Ray
    • Rlib
    • Ray Tune
  5. Which object type do Ray’s docs explicitly say can be read from same-node object-store memory without a copy?
    • A NumPy array stored in Ray’s object store
    • Any Python object whenever an ObjectRef is passed
    • An object requested from another node with no network transfer
    • Only actor handles stored in a separate database
  6. Ban bibliothèque Ray nga bëgga jëfandikoo ngir dugal ay model ci ginnàaw ab poñ bu mëna escaleer, autoscaling?
    • Ray Tune
    • Ray Serve
    • Saxaaru Ray
    • Done Ray
  7. How does Ray Serve decide when to add replicas in its built-in request-driven autoscaling?
    • It reads the model’s training loss
    • It changes the number of model parameters
    • It monitors ongoing requests or queue demand against configured targets
    • It scales only when a human edits the deployment
  8. How does Ray move an object when a task on a different node needs it?
    • It shares the owner’s local memory directly across every node
    • It automatically copies all objects into each node’s GPU memory
    • It sends only an ObjectRef and never transfers the object data
    • It transfers the object over the cluster network; serialization, locality, and object size affect cost