Free NVIDIA NCP-AIO Practice Exam with Questions & Answers | Set: 2

Comprehensive and Detailed Explanation From Exact Extract:

Ensuring thatGPUDirect Storageis properly configured allows the application to transfer data directly from storage into GPU memory, bypassing the CPU and reducing latency and overhead during the ETL (Extract, Transform, Load) phase. This direct path optimizes data movement, preventing delays and improving performance for Magnum IO-enabled applications.

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Comprehensive and Detailed Explanation From Exact Extract:

When running a GPU-enabled container directly on a server with Docker, the flag--gpus allis required to allow the container access to all GPUs on the host system. This ensures that the TensorFlow container can utilize GPU resources fully. The other options either do not specify GPU access correctly or are Kubernetes-specific commands.

Comprehensive and Detailed Explanation From Exact Extract:

The correct command to scale a Kubernetes Job to a specific number of replicas iskubectl scale job --replicas=4. This explicitly sets the number of desired pod instances for the Job resource. The other commands are either invalid (stretch), apply to Deployments rather than Jobs (autoscale deployment), or use incorrect syntax (-r).

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Comprehensive and Detailed Explanation From Exact Extract:

NVIDIA Fabric Manager is designed to manage and optimize fabric resources like NVLink and NVSwitch inenterprise-class platforms such as HGX and DGX systems. These platforms have the necessary hardware fabric components. The L40S Certified and GeForce series are either not compatible or do not require Fabric Manager.

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Comprehensive and Detailed Explanation From Exact Extract:

NVIDIADOCA(Data Center Infrastructure-on-a-Chip Architecture) is the software framework designed to program NVIDIA BlueField DPUs (Data Processing Units). DOCA provides libraries, APIs, and tools to develop custom applications, enabling users to offload, accelerate, and secure data center infrastructure functions on BlueField DPUs.

DOCA supports integration with key data center services including storage protocols such asNVMe over Fabrics (NVMe-oF), elastic block storage, and network security and telemetry. It enables tailored solutions optimized for specific workloads and high-performance infrastructure demands.

TensorRT is focused on AI inference optimization.

CUDA is NVIDIA’s GPU programming model for general-purpose GPU computing, not for DPUs.

NSight is a development environment for debugging and profiling NVIDIA GPUs.

Therefore,NVIDIA DOCAis the correct framework for programming BlueField DPUs in a data center environment requiring custom application development and advanced storage/networking integration.

Comprehensive and Detailed Explanation From Exact Extract:

To verify the optimal communication path and diagnose issues between two nodes in an InfiniBand fabric, theibtracertcommand is used. It traces the route that InfiniBand packets take through the fabric, identifying each hop and any potential bottlenecks or faulty links along the path.

ibstatusprovides status information about local InfiniBand devices and ports.

ibpingtests connectivity and latency between nodes.

ibnetdiscoverdiscovers and prints the topology of the InfiniBand fabric but does not trace specific paths.

Therefore,ibtracertis the appropriate tool for path optimization verification between two compute nodes.

Comprehensive and Detailed Explanation From Exact Extract:

When automating tasks with the Run:AI Administrator CLI, it is essential to ensure that theKubernetes configuration file (kubeconfig)is correctly set up with cluster administrative rights. This enables the CLI to interact programmatically with the Kubernetes API for managing nodes, resources, and workloads efficiently. Without proper administrative permissions in the kubeconfig, automated operations will fail due to insufficient rights.

Manual GPU allocation is typically handled by scheduling policies rather than CLI manual assignments. The CLI does not replacekubectlcommands entirely, and installation on Windows is not a critical requirement.

The Run:AI Administrator CLI requires a Kubernetes configuration file with cluster-administrative rights in order to perform automation or scripting tasks across the cluster. Without those rights, the CLI cannot manage nodes or resources programmatically.

Comprehensive and Detailed Explanation From Exact Extract:

To diagnose disk IO performance issues, the system administrator should use theiostatcommand, which reports CPU statistics and input/output statistics for devices and partitions. It helps identify bottlenecks in disk throughput or latency affecting application performance.

tcpdumpis used for network traffic analysis, not disk IO.

nvidia-smimonitors NVIDIA GPU status but not disk IO.

htopshows CPU, memory, and process usage but provides limited disk IO details.

Therefore,iostatis the appropriate tool to assess disk IO performance and diagnose bottlenecks impacting training times.

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Comprehensive and Detailed Explanation From Exact Extract:

In NVIDIA Base Command Manager (BCM), assigning theprovisioning roleto a node enables that node to manage software images and perform provisioning tasks for other nodes in the cluster. This role allows automated deployment and configuration of cluster nodes, ensuring consistency and simplifying large-scale management. It is not primarily responsible for container orchestration, GPU monitoring, or storage management.

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