Kediska Kooxaha Tababarka ee AI

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay amarka ay isticmaalayaashu caadi ahaan adeegsadaan si ay ugu soo gudbiyaan shaqo dufcad Slurm?
   • jeexjeexid
   • kubectl codsan
   • docker orod
   • git riix
2. Sidee buu shaqada Slurm u codsadaa GPU-yada?
   • Adigoo tafatiraya diiwaanada DNS
   • Iyadoo loo marayo --gres=gpu dardaaran
   • Iyada oo loo marayo foomka shabakada kaliya
   • GPU-yada lagama codsan karo Slurm
3. Qaybtee Slurm ayaa samaysa go'aannada jadwalka dhexe?
   • gariir
   • ruxruxay
   • slurmctld
   • jeexjeexid
4. Why can srun help launch distributed training tasks inside a Slurm allocation?
   • It automatically restores every model checkpoint
   • It replaces slurmctld as the scheduler
   • It converts a single GPU into multiple physical GPUs
   • It launches coordinated tasks across allocated nodes; the training setup may still need explicit DDP configuration
5. Waa maxay ujeeddada jadwalka buuxinta dambe ee Slurm?
   • Si aad u socodsiiso shaqooyinka gaagaaban ee daldaloolada aan shaqaynayn iyada oo aan dib loo dhigin shaqada mudnaanta sare leh
   • Si loo tirtiro shaqooyin hore
   • Si loo dhaafo GPU-yada
   • Si loo xafido diiwaannada shaqada
6. What must an AI training script do so a requeued Slurm job can continue after a node failure?
   • Assume Slurm stores model weights automatically
   • Save checkpoints and reload them when the job restarts
   • Disable resource accounting
   • Submit a new job without restoring state
7. Which Slurm daemon normally runs on each compute node to launch tasks and report node status?
   • slurmctld
   • sbatchd
   • gariir
   • gresctl
8. What can Slurm resource accounting help cluster administrators track?
   • The model’s validation accuracy automatically
   • The semantic content of training data
   • Whether every checkpoint is scientifically valid
   • Job resource use such as allocated CPUs, GPUs and time