Online Access Free NCP-AIO Exam Questions

What is the main benefit of using Kubernetes in AI operations when deploying machine learning models at scale in distributed environments?

• A.Workflow orchestration
• B.Model training
• C.Container orchestration
• D.Data labeling

You are an administrator managing a large-scale Kubernetes-based GPU cluster using Run:AI.
To automate repetitive administrative tasks and efficiently manage resources across multiple nodes, which of the following is essential when using the Run:AI Administrator CLI for environments where automation or scripting is required?

• A.Use the CLI to manually allocate specific GPUs to individual jobs for better resource management.
• B.Ensure that the Kubernetes configuration file is set up with cluster administrative rights before using the CLI.
• C.Use the runai-adm command to directly update Kubernetes nodes without requiring kubectl.
• D.Install the CLI on Windows machines to take advantage of its scripting capabilities.

What should an administrator check if GPU-to-GPU communication is slow in a distributed system using Magnum IO?

• A.Increase the system's RAM capacity to improve communication speed.
• B.Disable InfiniBand to reduce network complexity.
• C.Limit the number of GPUs used in the system to reduce congestion.
• D.Verify the configuration of NCCL or NVSHMEM.

A new researcher needs access to GPU resources but should not have permission to modify cluster settings or manage other users.
What role should you assign them in Run:ai?

• A.Research Manager
• B.Application Administrator
• C.Department Administrator
• D.L1 Researcher

You are managing a Kubernetes cluster running AI training jobs using TensorFlow. The jobs require access to multiple GPUs across different nodes, but inter-node communication seems slow, impacting performance.
What is a potential networking configuration you would implement to optimize inter-node communication for distributed training?

• A.Use standard Ethernet networking with jumbo frames enabled to reduce packet overhead during communication.
• B.Configure a dedicated storage network to handle data transfer between nodes during training.
• C.Increase the number of replicas for each job to reduce the load on individual nodes.
• D.Use InfiniBand networking between nodes to reduce latency and increase throughput for distributed training jobs.