NCP-AIN LATEST EXAM NOTES, LATEST NCP-AIN TEST CAMP

NCP-AIN Latest Exam Notes, Latest NCP-AIN Test Camp

NCP-AIN Latest Exam Notes, Latest NCP-AIN Test Camp

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Tags: NCP-AIN Latest Exam Notes, Latest NCP-AIN Test Camp, Examcollection NCP-AIN Questions Answers, NCP-AIN Test Questions, Exam NCP-AIN Dumps

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NVIDIA-Certified Professional AI Networking Sample Questions (Q31-Q36):

NEW QUESTION # 31
In which mode of the BlueField DPU does the ARM system on the DPU control the NIC data path, but allow access to the DPU OS from the host?

  • A. Separated Host mode
  • B. DPU mode
  • C. Restricted mode
  • D. NIC mode

Answer: B


NEW QUESTION # 32
In a multi-tenant InfiniBand environment managed by UFM, you need to configure access controls to prevent unauthorized users from altering the fabric configuration. Which method is used within UFM to manage user access and ensure authorized modifications only?

  • A. Digital Certification Management (DCM)
  • B. Network Access Control (NAC)
  • C. Role-Based Access Control (RBAC)
  • D. Virtual Network Segmentation (VNS)

Answer: C

Explanation:
Role-Based Access Control (RBAC)is implemented within NVIDIA's Unified Fabric Manager (UFM) to manage user permissions effectively. RBAC allows administrators toassign roles to users, each with specific permissions, ensuring that only authorized individuals can make changes to the fabric configuration. This structured approach to access control enhances security by limiting the potential for unauthorized modifications and streamlines the management of user privileges across the network.
Reference:Role-Based Access Control (RBAC) - One Identity


NEW QUESTION # 33
You are deploying a Kubernetes cluster for AI workloads using NVIDIA Spectrum-X switches. You need to automate the deployment and management of networking components in this environment.
Which NVIDIA tool is specifically designed to automate the deployment and management of networking components in a Kubernetes cluster with Spectrum-X switches?

  • A. GPU Operator
  • B. Mellanox OFED
  • C. Container Runtime
  • D. Network Operator

Answer: D

Explanation:
TheNVIDIA Network Operatoris designed to simplify and automate the deployment and management of networking components in Kubernetes clusters, particularly those utilizing NVIDIA Spectrum-X switches. It manages the installation and configuration of necessary drivers, plugins, and other networking resources to enable features like RDMA and GPUDirect RDMA, which are essential for high-performance AI workloads.
By leveraging Kubernetes Custom Resource Definitions (CRDs) and the Operator Framework, the Network Operator ensures that networking components are consistently and correctly configured across the cluster, reducing manual intervention and potential configuration errors.
Reference:NVIDIA Network Operator Documentation


NEW QUESTION # 34
You are optimizing a multi-node AI training cluster using InfiniBand networking and NVIDIA GPUs. You need to implement efficient collective communication operations across the nodes.
Which feature of NVIDIA Collective Communications Library (NCCL) allows for optimized performance in multi-subnet InfiniBand environments?

  • A. Static plugin linking
  • B. Lazy connection establishment
  • C. Support for IB Router
  • D. GPU Direct RDMA

Answer: C

Explanation:
Inmulti-subnet InfiniBand environments, AI training clusters are segmented across network zones (or subnets). Direct GPU-to-GPU communication (especially for collective ops like AllReduce, Broadcast, etc.) requires inter-subnet reachability. NCCL supports this via theInfiniBand Router (IB Router)feature.
From theNCCL User Guide - Environment Variables Section:
"NCCL_IB_USE_IB_ROUTER: Enables NCCL support for IB routers which are used in multi-subnet InfiniBand fabrics. When enabled, NCCL can traverse IB subnets using a properly configured IB router." This is critical because without IB Router support:
* NCCL would be restricted to intra-subnet GPU collectives.
* Multi-node training across subnets would fail or fall back to slower TCP fallback mechanisms.
Technical Explanation:
* IB Routers usesubnet managers(like OpenSM with routing tables) to bridge communication across different InfiniBand partitions.
* NCCL queries the subnet topology, discovers routing paths, and usesRDMA CM(Connection Manager) to establish GPU transport over routers.
* This capability is especially important in data center-scale AI clusters spanning multiple racks or zones, connected viaIB routers like Mellanox SB7800 or QM8700 series.
When NCCL_IB_USE_IB_ROUTER=1 is set:
* NCCL includes router-aware route resolution in its path selection logic.
* Enables efficientzero-copy communicationacross GPUs in different IB domains, maintaining low latency.
Other Options Explained:
* A. Lazy connection establishment- controls when peer connections are made but does not enable cross-subnet reach.
* B. GPU Direct RDMA- enables intra-node direct memory access, not applicable for routing across subnets.
* C. Static plugin linking- affects how NCCL links plugins, not related to IB topology.
Exact Extract Reference:
Source: NVIDIA NCCL User Guide - Environment Variables Section
Extract: "NCCL_IB_USE_IB_ROUTER: Enables NCCL support for IB routers, required for multi-subnet InfiniBand configurations. Ensures proper routing of collectives over fabric-wide topologies."


NEW QUESTION # 35
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. Application telemetry
  • B. Packet capture telemetry
  • C. Flow telemetry
  • D. Behavioral telemetry

Answer: D

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 # 36
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