Kubeflow ati ML Pipeline Orchestration adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Syeed ipilẹ wo ni Kubeflow nṣiṣẹ awọn iṣan-iṣẹ ikẹkọ ẹrọ lori?
   • Apache Hadoop
   • Akopọ-irin Slurm iṣupọ
   • Kubernetes
   • A nikan foju ẹrọ
2. Ni Kubeflow Pipelines, bawo ni igbesẹ kọọkan ti iṣan-iṣẹ kan ṣe deede papọ?
   • Bi paati ti a fi sinu apoti ti n ṣiṣẹ ni podu
   • Bi ilana ti o fipamọ sinu ibi ipamọ data
   • Bi iṣẹ ti ko ni olupin lori CDN kan
   • Bi awọn kan nikan monolithic akosile
3. Ilana wo ni opo gigun ti epo Kubeflow lo lati ṣafihan aṣẹ ati awọn igbẹkẹle ti awọn igbesẹ?
   • A Building akojọ executed oke si isalẹ
   • A ipin iṣẹlẹ lupu
   • Eto ibatan kan
   • Aworan acyclic ti a darí (DAG)
4. Apakan Kubeflow wo ni igbẹhin si iṣatunṣe hyperparameter adaṣe adaṣe?
   • 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. Eyi ti Kubeflow paati ti wa ni nipataki lo fun a sìn oṣiṣẹ si dede fun inference?
   • Katib
   • Awọn olupin ajako
   • Argo CD
   • 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