Guide-yakabatana mibvunzo · Pakati Nhanho

Ray kune Yakaparadzirwa AI Quiz

Tarisa manzwisisiro ako emabasa eRay, vatambi, mareferensi echinhu, maraibhurari akagoverwa, uye kuti data yechinhu chinofamba sei mukati meboka.

Nzira dzekutungamira dzinoenderanaRay Yekugoverwa AI
Mubvunzo 1 ye 8

Idambudziko ripi rinonyanya kugadziriswa naRay?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Idambudziko ripi rinonyanya kugadziriswa naRay?
    • Kuyera Python uye AI basa rinoremerwa kubva kumuchina mumwe kuenda kune hombe sumbu ine kushoma kodhi shanduko
    • Kuisa mazita pamifananidzo
    • Kudzvinyirira modhi mafaera
    • Kugadzira neural network architectures
  2. Muna Ray, ndeupi musiyano uripo pakati pe 'basa' ne 'mutambi'?
    • Mabasa ndeemifananidzo uye vatambi ndeezvinyorwa
    • Basa iri risingaperi parallel basa kufona; mutambi mushandi wehurumende anobata nyika
    • Vakafanana
    • Mabasa anomhanya chete paCPUs nevatambi chete pamaprinta
  3. Ray anodzokerei nekukasika paunotanga basa riri kure?
    • Mhedzisiro yekupedzisira, nguva dzose
    • Meseji yemhosho
    • Ramangwana (referensi yechinhu) yaunozogadzirisa neray.get()
    • Ikopi yesumbu rese
  4. Ndeipi raibhurari yaRay yakagadzirirwa kugoverwa hyperparameter yekutsvaga?
    • Ray Serve
    • Ray Data
    • RLlib
    • 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. Ndeipi raibhurari yaRay yaungashandisa kuendesa mamodheru kuseri kweanokatyamadza, autoscaling endpoint?
    • Ray Tune
    • Ray Serve
    • Ray Chitima
    • Ray Data
  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