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Free NCP-AIO sample questions

Real questions from the Ncp - AI Operations practice bank, with the correct answer and an explanation for each one. No junk, no filler.

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Showing 9 of 19 free sample questions.

Question 1Choose one

An MLOps team is deploying a new Triton Inference Server on a Kubernetes cluster managed by NVIDIA Base Command Manager (BCM). They observe that during traffic spikes, pod startup latency is high, impacting the auto-scaler's effectiveness. The investigation reveals that the delay is caused by downloading a large, multi-gigabyte model from a remote S3 bucket every time a new pod is created. Which strategy provides the MOST efficient solution to reduce this model-loading latency for new inference pods?

Question 2Choose 2

A research institution is running a multi-node, multi-GPU deep learning training job on a Slurm cluster composed of NVIDIA DGX A100 nodes. A junior administrator reports that the job is running, but `dcgmi diag -r 1` shows NVLink bandwidth is significantly lower than the expected 600 GB/s bidirectional bandwidth. All GPUs are healthy. Which TWO of the following are the most likely causes for the degraded NVLink performance? (Select TWO)

Question 3Choose one

You are tasked with deploying a new bare-metal Kubernetes cluster on a set of servers equipped with NVIDIA ConnectX-6 Dx SmartNICs. To maximize network performance and offload the host CPU, you plan to use the ASAP² (Accelerated Switching and Packet Processing) feature. Which component is essential for enabling and managing ASAP² in this environment?

Question 4Choose one

True or False: When using NVIDIA Base Command Manager (BCM) to provision a cluster, the `nvsm-health` command is the primary tool used from the head node to verify the health and status of all compute nodes and their GPUs after an OS image has been deployed.

Question 5Choose one

A hospital's data science team uses a shared NVIDIA DGX H100 server for developing medical imaging AI models. To ensure resource isolation and predictable performance for multiple concurrent users, the lead AI Operations engineer decides to partition the GPUs using Multi-Instance GPU (MIG). The requirement is to create the maximum possible number of isolated, compute-capable instances on a single H100 GPU. Which `nvidia-smi` command correctly achieves this?

Question 6Choose one

An AI infrastructure team is managing a large cluster with hundreds of nodes. They need a way to perform out-of-band management, including power cycling, BIOS configuration, and monitoring hardware sensors, without relying on the node's primary operating system. The cluster nodes are equipped with NVIDIA BlueField-3 DPUs. How can the team achieve this level of remote management?

Question 7Choose one

A system administrator is troubleshooting a performance issue with a distributed training job running across several nodes connected via an InfiniBand fabric. They suspect a faulty cable or switch port is causing excessive errors on a specific link. Which command-line utility is the MOST appropriate first step to check the error counters and status of all links in the InfiniBand fabric from a single node?

Question 8Choose one

An administrator is configuring a new Slurm cluster with NVIDIA H100 GPUs. They have enabled MIG on all GPUs and created various MIG instance profiles. The goal is to allow users to request a specific MIG instance profile in their `sbatch` scripts. For example, a user should be able to request two instances of the `2g.20gb` profile. How must the `gres.conf` file be configured on the Slurm controller to enable this functionality?

Question 9Choose one

A financial services company is using NVIDIA AI Enterprise to run critical, low-latency inference workloads on a vSphere cluster. During a routine audit, a security team member raises a concern that a compromised VM could potentially access the memory of other VMs running on the same GPU via a side-channel attack. Which NVIDIA vGPU feature, when enabled on the host, mitigates this specific security risk?

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