NVIDIA-Certified Professional NCP-AIO

NVIDIA NCP-AIO Exam Syllabus Topics:

Reference: https://www.nvidia.com/en-us/learn/certification/ai-operations-professional/

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NVIDIA AI Operations Sample Questions:

Question #1
Which method is used to evaluate multiple model versions by splitting user traffic and comparing their performance metrics in real-world conditions?

A. Grid search
B. Cross-validation
C. Shadow testing
D. A/B testing

Question #2
In a high availability (HA) cluster, you need to ensure that split-brain scenarios are avoided.
What is a common technique used to prevent split-brain in an HA cluster?

A. Replicating data across all nodes in real time.
B. Configuring manual failover procedures for each node.
C. Using multiple load balancers to distribute traffic evenly across nodes.
D. Implementing a heartbeat network between cluster nodes to monitor their health.

Question #3
When troubleshooting Slurm job scheduling issues, a common source of problems is jobs getting stuck in a pending state indefinitely.
Which Slurm command can be used to view detailed information about all pending jobs and identify the cause of the delay?

A. scontrol
B. sinfo
C. sacct

Question #4
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. Use InfiniBand networking between nodes to reduce latency and increase throughput for distributed training jobs.
D. Increase the number of replicas for each job to reduce the load on individual nodes.

Question #5
A system administrator is troubleshooting a Docker container that crashes unexpectedly due to a segmentation fault. They want to generate and analyze core dumps to identify the root cause of the crash.
Why would generating core dumps be a critical step in troubleshooting this issue?

A. Core dumps provide real-time logs that can be used to monitor ongoing application performance.
B. Core dumps prevent future crashes by stopping any further execution of the faulty process.
C. Core dumps restore the process to its previous state, often fixing the error-causing crash.
D. Core dumps capture the memory state of the process at the time of the crash.

Solutions: