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NEW QUESTION # 14
An engineer needs to validate 400G DAC cable signal integrity in a DGX cluster. Which CVT metric best identifies marginal cables needing replacement?
Answer: C
Explanation:
CVT identifies marginal 400G DAC links by monitoring the effective bit error rate during validation. An effective BER above the accepted threshold indicates poor signal integrity and points to cables that should be replaced to avoid link instability under cluster workloads.
NEW QUESTION # 15
After Spectrum-X fabric deployment, NCCL tests show intermittent latency spikes. Which network condition most severely impacts East-West bandwidth?
Answer: D
Explanation:
Packet loss is especially damaging to East-West AI fabric performance because NCCL collective operations depend on reliable, high-throughput GPU-to-GPU communication. Even small packet- loss rates can trigger retries and pipeline stalls, causing latency spikes and reducing effective bandwidth across the fabric.
NEW QUESTION # 16
You have installed the NVIDIA Container Toolkit and are attempting to run a container with GPU support. However, the 'docker run' command fails with an error indicating that the NVIDIA runtime is not found. You have already verified that the NVIDIA Container Toolkit is installed, and the Docker daemon has been restarted. What is the most likely cause of this error?
Answer: B
Explanation:
The most likely cause is an issue with the S/etc/docker/daemon.json' file (A). This file configures Docker's runtime settings, including specifying the NVIDIA runtime. If the file is missing or has incorrect entries, Docker will not be able to find the NVIDIA runtime. While driver incompatibility (B) can cause issues, it typically manifests as runtime errors within the container, not a failure to find the runtime itself. 'nvidia- container-runtime' might be a required package depending on the installation method. A missing GPU is unlikely since the Toolkit would likely fail to install, although this is also an error that can prevent the NVIDIA runtime from being started.
NEW QUESTION # 17
An infrastructure engineer runs an NCCL burn-in on an eight-node GPU cluster. Over a 12-hour period, all GPUs are tested with repeated all-reduce collectives. Monitoring tools show the following observations:
Aggregate bandwidth remains within 5% of documented reference for the hardware on every run.
No errors or timeouts are reported in NCCL logs.
On three occasions, one GPU logged single-run bandwidth dips of 15-20% compared to its normal performance, but performance recovered on the next run and stayed stable afterward. System logs show no hardware or driver errors.
Two minor NCCL WARN-level messages about "unexpected latency spike" appear in system logs for separate nodes, but could not be reproduced.
Which conclusion is the best strategy before releasing the cluster to production?
Answer: C
Explanation:
The best conclusion is to proceed, because the cluster met sustained bandwidth expectations, reported no NCCL errors or timeouts, and showed no persistent hardware, driver, or fabric faults. In NVIDIA AI infrastructure validation, burn-in testing is intended to detect repeatable failures, degraded links, unstable GPUs, NCCL communication errors, timeouts, or sustained performance below reference values. Short, unreproducible latency or bandwidth variation can occur because of transient system activity, monitoring overhead, scheduler noise, background services, or brief congestion. Since aggregate bandwidth stayed within
5% of the documented reference on every run and the dips recovered immediately without recurring on the same component, the evidence does not justify declaring the burn-in failed. Option B is too strict because one unreproduced transient dip is not enough to prove hardware failure. Option C is also excessive because excluding nodes without repeatable evidence reduces cluster capacity unnecessarily. The correct operational strategy is to approve the cluster while preserving logs, documenting the anomalies, and continuing normal monitoring during early production workloads.
NEW QUESTION # 18
A company has a registered NGC account and their server has NCG CLI installed. What step should be taken first to gain access to NGC?
Answer: A
Explanation:
ngc config set is the first configuration step after installing the NGC CLI. It prompts for the required NGC credentials, including the API key, and stores them so the system can authenticate and access NGC resources.
NEW QUESTION # 19
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