Kedis ku xidhan hagaha · Dhexdhexaad Heerka

KServe iyo Model u adeegaya Kediska Kubernetes

Waxay hubisaa Adeegga Inferences ee KServe, soo dejinta farshaxanimada moodeelka ah, autoscaling runtime, adeega qaybaha iyo borotokoolka saadaasha caadiga ah.

Wadooyinka haga ee la xidhiidhaKserve iyo Model Ka Adeegaya Kubernetes
Su'aal 1 ee 8

Maxay ahayd magacii hore ee KServe ka hor inta uusan noqon mashruuc gooni ah?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Maxay ahayd magacii hore ee KServe ka hor inta uusan noqon mashruuc gooni ah?
    • KFSeving
    • KubeML
    • ModelMesh
    • Qaababka Knative
  2. Waa maxay agabka gaarka ah ee Kubernetes ee aad qeexday si aad mooddo KServe?
    • Model Deployment
    • Adeegga Inference
    • PredictPod
    • Shaxda Adeegga
  3. Awooddee ayaa u ogolaanaysa moodooyinka KServe ee aan shaqayn in ay isticmaalaan xisaabinta eber ilaa codsi ka yimaado?
    • Soo-bandhigista Canary
    • Sharding
    • Miisaan-ilaa-eber
    • Tilmaanta Dufcaddii
  4. Mashruuckee hoose ayaa bixiya KServe's autoscaling-ka uu wado codsiga?
    • Prometheus
    • Helm
    • Argo
    • Knative
  5. Sidee ayay KServe caadi ahaan ugu heli kartaa farshaxanada moodada ah ee ay ku adeegto marka ay bilawdo?
    • Iyada oo loo marayo bilowga kaydinta oo ka soo jiida kaydinta shay
    • Adigoo ku dubinaya moodooyinka gudaha sawirka weelka oo keliya
    • Adigoo iimayl u diraya faylka qaabka
    • Iyada oo loo marayo nuqul kubectl gacanta ah
  6. Heerkee ayay KServe isticmaashaa si macaamiishu ugu yeeraan moodooyinka kala duwan si isku mid ah?
    • Xiriirka GraphQL
    • Habka Faragelinta Furan
    • SABUUN
    • JDBC
  7. In KServe’s InferenceService pipeline, which component can apply pre- or post-processing around the predictor?
    • The storage initializer
    • The Knative autoscaler
    • Transformer-ka
    • The Kubernetes scheduler
  8. What is a typical trade-off of scaling a model deployment down to zero replicas?
    • The model becomes permanently unavailable
    • Every request avoids model loading
    • The Kubernetes API is replaced
    • Idle compute is reduced, but the next request may incur a cold-start delay