[Spectrum-X Optimization]
What is the purpose of WJH (What Just Happened)?
Answer : A
NVIDIA's What Just Happened (WJH) is a feature that provides real-time visibility into network problems by analyzing all packets passing through the switch and alerting on performance issues caused by packet drops, congestion, high latency, or misconfigurations.
WJH retains the last packets that were dropped from the switch with complete packet headers and the actual drop reason. This enhances the ability to debug network problems, identify affected flows, and decrease time-to-repair.
[InfiniBand Troubleshooting]
You are troubleshooting an InfiniBand network issue and need to check the status of the InfiniBand interfaces. Which command should you use to display the state, physical state, and link layer of InfiniBand interfaces?
Answer : D
The ibstat command is utilized to display the operational status of InfiniBand Host Channel Adapters (HCAs). It provides detailed information, including the state (e.g., Active, Down), physical state (e.g., LinkUp, Polling), and link layer (e.g., InfiniBand, Ethernet) of each port on the HCA. This information is crucial for diagnosing connectivity issues and ensuring that the InfiniBand interfaces are functioning correctly.
Reference Extracts from NVIDIA Documentation:
'The ibstat command displays the status of the host channel adapters (HCAs) in your InfiniBand fabric. The status includes the HCAs' state, physical state, and link layer.'
'For proper operation, you are looking for 'State: Active' and 'Physical State: LinkUp'.'
[AI Network Architecture]
A financial services company is planning to implement an AI infrastructure to support real-time fraud detection and risk assessment. They need a solution that can handle both training and inference workloads while maintaining data privacy and security.
Which NVIDIA reference architecture component would be most appropriate to address the data privacy and security concerns in this AI networking setup?
Answer : C
NVIDIA BlueField Data Processing Units (DPUs) are integral to securing AI infrastructures, especially in environments requiring stringent data privacy and security measures. BlueField DPUs offload and accelerate critical infrastructure tasks such as encryption, firewall enforcement, and intrusion detection, thereby isolating sensitive data paths from potential threats.
In the context of AI workloads, BlueField DPUs enable secure and efficient data movement between GPUs and storage systems, ensuring that sensitive information, like financial data, is protected during both training and inference processes. Their integration into NVIDIA's reference architectures provides a hardware root of trust, essential for maintaining data integrity and compliance with security standards.
[InfiniBand Troubleshooting]
You are tasked with troubleshooting a link flapping issue in an InfiniBand AI fabric. You would like to start troubleshooting from the physical layer.
What is the right NVIDIA tool to be used for this task?
Answer : B
The mlxlink tool is used to check and debug link status and issues related to them. The tool can be used on different links and cables (passive, active, transceiver, and backplane). It is intended for advanced users with appropriate technical background.
[AI Network Architecture]
In an AI cluster using NVIDIA GPUs, which configuration parameter in the NicClusterPolicy custom resource is crucial for enabling high-speed GPU-to-GPU communication across nodes?
Answer : A
The RDMA Shared Device Plugin is a critical component in the NicClusterPolicy custom resource for enabling Remote Direct Memory Access (RDMA) capabilities in Kubernetes clusters. RDMA allows for high-throughput, low-latency networking, which is essential for efficient GPU-to-GPU communication across nodes in AI workloads. By deploying the RDMA Shared Device Plugin, the cluster can leverage RDMA-enabled network interfaces, facilitating direct memory access between GPUs without involving the CPU, thus optimizing performance.
Reference Extracts from NVIDIA Documentation:
'RDMA Shared Device Plugin: Deploy RDMA Shared device plugin. This plugin enables RDMA capabilities in the Kubernetes cluster, allowing high-speed GPU-to-GPU communication across nodes.'
'The RDMA Shared Device Plugin is responsible for advertising RDMA-capable network interfaces to Kubernetes, enabling pods to utilize RDMA for high-performance networking.'
[InfiniBand Configuration / SM Discovery]
What command sequence is used to identify the exact name of the server that runs as the master SM in a multi-node fabric?
Answer : A
To identify the active Subnet Manager (SM) node in an InfiniBand fabric, the correct command sequence is:
sminfo
Displays general information about the active SM in the fabric, including its LID.
smpquery ND <LID>
Resolves the Node Description (ND) at the given LID, revealing the exact hostname or label of the SM server.
From the InfiniBand Tools Guide:
'The sminfo utility provides the LID of the master SM. Use smpquery ND <LID> to resolve the node name hosting the SM.'
This two-step approach is standard for locating and validating the SM identity in fabric diagnostics.
Incorrect Options:
B (Nl) is an invalid query type.
C and D do not identify SMs.
[Spectrum-X Configuration]
You are automating the deployment of a Spectrum-X network using Ansible. You need to ensure that the playbooks can handle different switch models and configurations efficiently.
Which feature of the NVIDIA NVUE Collection helps simplify the automation by providing pre-built roles for common network configurations?
Answer : C
The NVIDIA NVUE Collection for Ansible includes pre-built roles designed to streamline automation tasks across various switch models and configurations. These roles encapsulate common network configurations, allowing for efficient and consistent deployment.
By utilizing these roles, network administrators can:
Apply standardized configurations across different devices.
Reduce the complexity of playbooks by reusing modular components.
Ensure consistency and compliance with organizational policies.
This approach aligns with Ansible best practices, promoting maintainability and scalability in network automation.