Slurm yeAI Kudzidzisa Clusters Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndeupi murairo unowanzo shandiswa nevashandisi kuendesa batch basa kuSlurm?
   • sbatch
   • kubectl shandisa
   • docker run
   • git push
2. Basa reSlurm rinokumbira sei maGPU?
   • Nekugadzirisa marekodhi eDNS
   • Kuburikidza ne--gres=gpu rairo
   • Kuburikidza newebhu fomu chete
   • MaGPU haagone kukumbirwa muSlurm
3. Ndechipi chikamu cheSlurm chinoita sarudzo dzepakati dzekuronga?
   • slurmd
   • srun
   • slurmctld
   • sbatch
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. Chii chinangwa chekudzosera kumashure kuronga muSlurm?
   • Kuita mabasa mapfupi mumagapu asina basa pasina kunonoka basa rekutanga
   • Kudzima mabasa ekare
   • Kupfuura maGPUs
   • Kuti encrypt matanda ebasa
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
   • slurmd
   • 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