NCA-AIIO Question 100
Select 3You are managing an AI cluster that uses a workload orchestrator for job scheduling. A team of data scientists submits multiple AI training jobs with varying resource requirements, including GPU and memory usage. To ensure optimal cluster utilization and fair resource allocation, which of the following features or configurations should you prioritize in the orchestration system?
- A
Enabling GPU-aware scheduling to allocate GPU resources efficiently.
- B
Configuring job preemption to allow high-priority jobs to interrupt lower-priority jobs.
- C
Disabling resource limits to allow jobs to use as much memory or GPU as needed.
- D
Implementing a quota system to ensure fair resource distribution among users or teams.
- E
Using a single-node scheduling policy to minimize inter-node communication overhead.
Show answer and explanation
Correct answers: A, B, D
Explanation
Efficient AI cluster orchestration and job scheduling rely on features like GPU-aware scheduling, job preemption, and quota systems to optimize resource utilization and ensure fairness. These configurations address the challenges of managing diverse AI workloads in a shared cluster environment while maintaining high performance and fairness. On the other hand, disabling resource limits and using single-node scheduling policies contradict best practices for multi-tenant, distributed AI clusters.
- A. Correct.
Enabling GPU-aware scheduling ensures the orchestrator considers GPU resource requirements, which is critical for AI workloads that heavily depend on GPUs.
- B. Correct.
Configuring job preemption allows high-priority or time-sensitive jobs to execute without significant delays, improving overall cluster efficiency and responsiveness.
- C. Incorrect.
Disabling resource limits is not recommended, as it can lead to resource contention and starvation of other jobs in a multi-tenant cluster environment.
- D. Correct.
Implementing a quota system ensures fair access to resources across different users or teams, preventing any single user or group from monopolizing resources.
- E. Incorrect.
Using a single-node scheduling policy is generally unsuitable for AI clusters, as it limits scalability and does not utilize the distributed nature of the cluster effectively.