Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya Okestration ya Kubeflow na ML Pipeline

Jaribu vipengele vya bomba la Kubeflow, mkusanyiko wa KFP v2, na maamuzi ya kuweka akiba, ikijumuisha jinsi grafu tegemezi zinavyoratibu mzigo wa kazi wa Kubernetes.

Njia za mwongozo zinazohusianaKubeflow na Upangaji wa Bomba la ML
Swali 1 ya 8

Je, Kubeflow inaendesha utiririshaji wa mashine ya kujifunza kwenye jukwaa gani la msingi?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Je, Kubeflow inaendesha utiririshaji wa mashine ya kujifunza kwenye jukwaa gani la msingi?
    • Apache Hadoop
    • Nguzo ya Slurm isiyo na chuma
    • Kubernetes
    • Mashine moja pepe
  2. Katika Mabomba ya Kubeflow, kila hatua ya mtiririko wa kazi kawaida huwekwaje?
    • Kama sehemu ya chombo inayoendesha kwenye ganda
    • Kama utaratibu uliohifadhiwa kwenye hifadhidata
    • Kama kazi isiyo na seva kwenye CDN
    • Kama hati moja ya monolithic
  3. Je, bomba la Kubeflow hutumia muundo gani kuelezea mpangilio na utegemezi wa hatua?
    • Orodha tambarare imetekelezwa kutoka juu hadi chini
    • Kitanzi cha tukio la mviringo
    • Schema ya uhusiano
    • Grafu ya acyclic iliyoelekezwa (DAG)
  4. Ni sehemu gani ya Kubeflow imejitolea kwa urekebishaji wa kiotomatiki wa hyperparameta?
    • KServe
    • Katib
    • MiniIO
    • Argo
  5. With KFP caching enabled, why might a rerun reuse a previous component result?
    • A matching eligible execution already has cached outputs
    • KFP never executes a component more than once
    • KFP ignores every input change
    • KFP randomly chooses which pods to skip
  6. Ni sehemu gani ya Kubeflow inatumika kimsingi kuhudumia mifano iliyofunzwa kwa uelekezaji?
    • Katib
    • Seva za daftari
    • CD ya Argo
    • KServe
  7. A team adopts KFP v2. What does the normal compiler output represent?
    • A trained model checkpoint
    • A PipelineSpec serialized as Intermediate Representation YAML
    • A universal Argo Workflows specification for every KFP version
    • A SQL query plan for the artifact database
  8. A Kubeflow step reads a file overwritten at an unchanged URI. Why might its cache need to be disabled or the input version changed?
    • Kubernetes forbids external files
    • Every pipeline input is automatically content-hashed
    • The tracked input can stay the same while the file’s contents change
    • Caching always reruns components on every request