NCP-AIO無料問題集「NVIDIA AI Operations」

質問 1

In a high availability (HA) cluster, you need to ensure that split-brain scenarios are avoided.
What is a common technique used to prevent split-brain in an HA cluster?

（A）Using multiple load balancers to distribute traffic evenly across nodes.

（B）Implementing a heartbeat network between cluster nodes to monitor their health.

（C）Configuring manual failover procedures for each node.

（D）Replicating data across all nodes in real time.

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

An administrator is troubleshooting issues with an NVIDIA Unified Fabric Manager Enterprise (UFM) installation and notices that the UFM server is unable to communicate with InfiniBand switches.
What step should be taken to address the issue?

（A）Verify the subnet manager configuration on the InfiniBand switches.

（B）Disable the firewall on the UFM server to allow communication.

（C）Reboot the UFM server to refresh network connections.

（D）Install additional GPUs in the UFM server to boost connectivity.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

A Fleet Command system administrator wants to create an organization user that will have the following rights:
For locations - read only
For Applications - read/write/admin
For Deployments - read/write/admin
For Dashboards - read only
What role should the system administrator assign to this user?

（A）Fleet Command Operator

（B）Fleet Command Viewer

（C）Fleet Command Admin

（D）Fleet Command Supporter

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

You are managing a deep learning workload on a Slurm cluster with multiple GPU nodes, but you notice that jobs requesting multiple GPUs are waiting for long periods even though there are available resources on some nodes.
How would you optimize job scheduling for multi-GPU workloads?

（A）Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.

（B）Ensure that job scripts use --gres=gpu:<number> and configure Slurm's backfill scheduler to prioritize multi-GPU jobs efficiently.

（C）Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.

（D）Increase time limits for smaller jobs so they don't interfere with multi-GPU job scheduling.

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

You have noticed that users can access all GPUs on a node even when they request only one GPU in their job script using --gres=gpu:1. This is causing resource contention and inefficient GPU usage.
What configuration change would you make to restrict users' access to only their allocated GPUs?

（A）Increase the memory allocation per job to limit access to other resources on the node.

（B）Modify the job script to include additional resource requests for CPU cores alongside GPUs.

（C）Enable cgroup enforcement in cgroup.conf by setting ConstrainDevices=yes.

（D）Set a higher priority for Jobs requesting fewer GPUs, so they finish faster and free up resources sooner.

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

Which deployment strategy allows two versions of a model to run simultaneously and gradually shifts traffic from the old version to the new version to minimize risk during updates?

（A）Canary deployment

（B）Blue-green deployment

（C）Rolling update

（D）Shadow deployment

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

Which method is used to evaluate multiple model versions by splitting user traffic and comparing their performance metrics in real-world conditions?

（A）Shadow testing

（B）Grid search

（C）Cross-validation

（D）A/B testing

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 8

A system administrator needs to optimize the delivery of their AI applications to the edge.
What NVIDIA platform should be used?

（A）Fleet Command

（B）Base Command Manager

（C）NetQ

（D）Base Command Platform

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 9

A system administrator is experiencing issues with Docker containers failing to start due to volume mounting problems. They suspect the issue is related to incorrect file permissions on shared volumes between the host and containers.
How should the administrator troubleshoot this issue?

（A）Reduce the size of the mounted volumes to avoid permission conflicts during container startup.

（B）Reinstall Docker to reset all configurations and resolve potential volume mounting issues.

（C）Use the docker logs command to review the logs for error messages related to volume mounting and permissions.

（D）Disable all shared folders between the host and container to prevent volume mounting errors.

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

NCP-AIO 無料問題集「NVIDIA AI Operations」

弊社を連絡する

関連リンク

トップ試験