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You are planning to deploy a large-scale Spectrum-X network for AI workloads. Before physical implementation, you want to validate the network design and configuration using a digital twin approach.
Which NVIDIA tool would be most appropriate for creating and simulating a digital twin of your Spectrum-X network?
A. NVIDIA Base Command Manager
B. NVIDIA NetQ
C. NVIDIA Omniverse
D. NVIDIA Air
Answer: D
Explanation:
NVIDIA Air is a cloud-based network simulation tool designed to create digital twins of data center infrastructure, including Spectrum-X networks. It allows users to model switches, SuperNICs, and storage components, enabling the simulation, validation, and automation of network configurations before physical deployment. This facilitates Day 0, 1, and 2 operations, ensuring that network designs are tested and optimized for AI workloads.
Reference Extracts from NVIDIA Documentation:
* "NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments."
* "NVIDIA Air allows users to model data center deployments with full software functionality, creating a digital twin. Transform and accelerate time to AI by simulating, validating, and automating changes and updates."
* "NVIDIA Air supports simulation of NVIDIA Spectrum Ethernet (Cumulus Linux and SONiC) switches and NVIDIA BlueField DPUs and SuperNICs as well as the NetQ network operations toolset."
NEW QUESTION # 19
You are troubleshooting a Spectrum-X network and need to ensure that the network remains operational in case of a link failure. Which feature of Spectrum-X ensures that the fabric continues to deliver high performance even if there is a link failure?
A. RoCE Adaptive Routing
B. RoCE Congestion Control
C. RoCE Performance Isolation
D. NVIDIA NetQ
Answer: A
Explanation:
RoCE Adaptive Routing is a key feature of NVIDIA Spectrum-X that ensures high performance and resiliency in the network, even in the event of a link failure. This technology dynamically reroutes traffic to the least congested and operational paths, effectively mitigating the impact of link failures. By continuously evaluating the network's egress queue loads and receiving status notifications from neighboring switches, Spectrum-X can adaptively select optimal paths for data transmission. This ensures that the network maintains high throughput and low latency, crucial for AI workloads, even when certain links are down.
Reference Extracts from NVIDIA Documentation:
* "Spectrum-X employs global adaptive routing to quickly reroute traffic during link failures, minimizing disruptions and preserving optimal storage fabric utilization."
* "RoCE Adaptive Routing avoids congestion by dynamically routing large AI flows away from congestion points. This approach improves network resource utilization, leaf/spine efficiency, and performance."
NEW QUESTION # 20
You are optimizing an InfiniBand network for AI workloads that require low-latency and high-throughput data transfers. Which feature of InfiniBand networks minimizes CPU overhead during data transfers?
A. TCP/IP Offloading
B. Direct Memory Access (DMA)
C. SHARP
D. PKey
Answer: B
Explanation:
Direct Memory Access (DMA) in InfiniBand networks allows data to be transferred directly between the memory of two devices without involving the CPU. This capability significantly reduces CPU overhead, lowers latency, and increases throughput, making it ideal for AI workloads that demand efficient data transfers.
NEW QUESTION # 21
What are the necessary steps to upgrade the MLNX-OS on InfiniBand Switches?
A. Connect to the switches using SSH, fetch the MLNX-OS software image, and use the 'install' command to perform the upgrade.
B. Restart the switches, connect to the switches using Telnet, and use the 'update' command to perform the upgrade.
C. Remove the switches from the switch fabric, fetch the MLNX-OS software image, and use the 'upgrade' command to perform the upgrade.
D. Power off the switches, insert the installation media, and power on the switches to start the upgrade process.
Answer: A
Explanation:
To upgrade the MLNX-OS on InfiniBand switches, the recommended procedure is as follows:
* Connect to the switch via SSH: Establish a secure shell connection to the switch using its management IP address.
* Fetch the MLNX-OS software image: Obtain the appropriate MLNX-OS software image from the official source or repository.
* Use the 'install' command to perform the upgrade: Execute the 'install' command on the switch to initiate the upgrade process with the fetched software image.
This method ensures a smooth and efficient upgrade without the need for physical intervention or service disruption.
Reference Extracts from NVIDIA Documentation:
* "Click on Systems # MLNX-OS Upgrade. Select the desired upgrade method (e.g. 'Install from local file'). Select your image and click 'Install Image'."
NEW QUESTION # 22
What does NetQ leverage (in addition to NVIDIA "What Just Happened" switch telemetry data and NVIDIA DOCA telemetry) to help network operators proactively identify server and application root cause issues?
A. Behavioral telemetry
B. Packet capture telemetry
C. Flow telemetry
D. Application telemetry
Answer: A
Explanation:
NetQintegrates multiple telemetry sources, includingWJH,DOCA, and notably,Behavioral Telemetry.
From theNetQ Documentation - Behavioral Telemetry Section:
"Behavioral telemetry in NetQ correlates server and application behavior with network events, offering insights into root cause analysis by detecting anomalies in protocol, path, or performance behavior." This helps identify patterns like:
* Misbehaving applications causing retransmits.
* Sudden changes in traffic flows.
* Latency spikes correlated with app-level issues.
It complements device-level telemetry by introducingintent-based anomaly detection, crucial for proactive operations.
Incorrect Options:
* Flow telemetryandpacket captureoffer raw data but not behavioral insights.
* Application telemetryis too vague and is not the term NetQ uses for this feature.
Reference: NetQ 3.2 Documentation - Behavioral Telemetry
NEW QUESTION # 23
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