1309 お客様のコメント
質問 1：
When troubleshooting Slurm job scheduling issues, a common source of problems is jobs getting stuck in a pending state indefinitely.
Which Slurm command can be used to view detailed information about all pending jobs and identify the cause of the delay?
A. sinfo
B. sacct
C. scontrol
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
You are using BCM for configuring an active-passive high availability (HA) cluster for a firewall system. To ensure seamless failover, what is one best practice related to session synchronization between the active and passive nodes?
A. Use heartbeat network for session synchronization between active and passive nodes.
B. Configure both nodes with different zone names to avoid conflicts during failover.
C. Set up manual synchronization procedures to transfer session data when needed.
D. Ensure that both nodes use different firewall models for redundancy.
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
What is the primary goal of observability in AI operations when monitoring machine learning systems deployed in production environments?
A. Increase training speed
B. Reduce model size
C. Improve data labeling
D. Provide system transparency
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Which component in an AI pipeline is responsible for transforming raw data into meaningful inputs that machine learning models can effectively use for training and inference tasks?
A. Model registry
B. Feature engineering
C. Deployment service
D. Monitoring system
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
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. Increase time limits for smaller jobs so they don't interfere with multi-GPU job scheduling.
B. Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.
C. Ensure that job scripts use --gres=gpu:<number> and configure Slurm's backfill scheduler to prioritize multi-GPU jobs efficiently.
D. Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
When troubleshooting Slurm job scheduling issues, a common source of problems is jobs getting stuck in a pending state indefinitely.
Which Slurm command can be used to view detailed information about all pending jobs and identify the cause of the delay?
A. sinfo
B. sacct
C. scontrol
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
You are using BCM for configuring an active-passive high availability (HA) cluster for a firewall system. To ensure seamless failover, what is one best practice related to session synchronization between the active and passive nodes?
A. Use heartbeat network for session synchronization between active and passive nodes.
B. Configure both nodes with different zone names to avoid conflicts during failover.
C. Set up manual synchronization procedures to transfer session data when needed.
D. Ensure that both nodes use different firewall models for redundancy.
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 3：
What is the primary goal of observability in AI operations when monitoring machine learning systems deployed in production environments?
A. Increase training speed
B. Reduce model size
C. Improve data labeling
D. Provide system transparency
正解：D
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Which component in an AI pipeline is responsible for transforming raw data into meaningful inputs that machine learning models can effectively use for training and inference tasks?
A. Model registry
B. Feature engineering
C. Deployment service
D. Monitoring system
正解：B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
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. Increase time limits for smaller jobs so they don't interfere with multi-GPU job scheduling.
B. Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.
C. Ensure that job scripts use --gres=gpu:<number> and configure Slurm's backfill scheduler to prioritize multi-GPU jobs efficiently.
D. Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.
正解：C
解説: (Pass4Test メンバーにのみ表示されます)
Ogawa -
内容もわかりやすくて助かります！試験は受けないので、NCP-AIO勉強にいいかも。お世話になってます。NCP-AIOに無事合格しました。ここで感謝致します。