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NEW QUESTION # 46
A user reports that they are unable to submit jobs to a specific partition. You've verified that the partition exists and is enabled. What are the possible reasons for this?
Answer: D
Explanation:
All the options are reasons for the user to be unable to submit jobs to a specific partition. All must be checked to solve the root problem.
NEW QUESTION # 47
You're encountering intermittent CUDA errors within your Docker container, specifically 'CUDA error: invalid device function'. The application runs fine sometimes, but other times it fails with this error. What are potential causes and debugging strategies?
Answer: A,B,D
Explanation:
A CUDA version mismatch (A) is a common cause of 'invalid device function' errors. GPU overheating (B) can also lead to instability and CUDA errors. Memory access bugs in the CUDA code (D) are another potential cause. While option C might be relevant in some edge cases, it is less likely in a properly configured Docker environment. Insufficient power (E) would typically cause more consistent failures, not intermittent ones.
NEW QUESTION # 48
You are tasked with deploying a deep learning framework container from NVIDIA NGC on a stand-alone GPU-enabled server.
What must you complete before pulling the container? (Choose two.)
Answer: B,D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Before pulling and running an NVIDIA NGC container on a stand-alone server, you must:
* InstallDockerand theNVIDIA Container Toolkitto enable container runtime with GPU support.
* Generate anNGC API keyand authenticate with the NGC container registry usingdocker loginto pull private or public containers.
Setting up Kubernetes or manually installing deep learning frameworks is unnecessary when using containers as they include the required frameworks.
NEW QUESTION # 49
A system administrator is troubleshooting a Docker container that crashes unexpectedly due to a segmentation fault. They want to generate and analyze core dumps to identify the root cause of the crash.
Why would generating core dumps be a critical step in troubleshooting this issue?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Core dumps capture thememory state of a process at the time of its crash, providing a snapshot useful for post- mortem debugging. Analyzing core dumps helps identify the cause of segmentation faults or other critical errors by revealing what the process was doing at failure, including stack traces, variable states, and memory content.
NEW QUESTION # 50
You are using BCM to provision a multi-node Kubernetes cluster on NVIDIA DGX servers. One of the nodes consistently fails to join the cluster. You've verified network connectivity and DNS resolution. The 'kubelet' logs show errors related to certificate signing. Which of the following steps is MOST likely to resolve this issue?
Answer: C
Explanation:
When a node fails to join the cluster due to certificate signing issues, it typically means the kubelet has requested a certificate from the Kubernetes API server, but that request has not been approved. Approving the pending CSR using 'kubectl certificate approve' is the standard way to resolve this issue. A (Regenerating the token is less likely since the token may still be valid), C (Manual copy is not scalable), D (disabling TLS is insecure), and E (kube-proxy is not related to cert signing process).
NEW QUESTION # 51
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