Hot Latest NCP-AIO Training | Professional NVIDIA NCP-AIO Latest Test Camp: NVIDIA AI Operations

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NVIDIA AI Operations Sample Questions (Q33-Q38):

NEW QUESTION # 33
You need to do maintenance on a node. What should you do first?

A. Disable job scheduling on all compute nodes in Slurm before completing maintenance.
B. Drain the compute node using scontrol update.
C. Set the node state to down in Slurm before completing maintenance.
D. Set the node state to down in Slurm before completing maintenance.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Before performing maintenance on a compute node in Slurm, the best practice is todrain the nodeto prevent new jobs from being scheduled while allowing current jobs to finish. This is done using thescontrol update NodeName=<nodename> State=Draincommand or equivalent. Setting the node state to down immediately may disrupt running jobs, and disabling scheduling on all nodes is unnecessarily broad. Draining ensures a controlled transition for maintenance.

NEW QUESTION # 34
You are setting up BCM with LDAP authentication. After configuring the LDAP settings in , users are still unable to log in. You've verified that the LDAP server is reachable. Which of the following is the MOST likely reason for the authentication failure?

A. The LDAP server is not configured to allow anonymous binds.
B. The BCM server's clock is not synchronized with the LDAP server's clock.
C. The LDAP schema is not compatible with BCM.
D. The BCM service account does not have permission to query the LDAP directory.
E. The LDAP bind user credentials in are incorrect or lack sufficient privileges.

Answer: E

Explanation:
The most likely reason for LDAP authentication failure is incorrect or insufficient privileges for the LDAP bind user. The bind user is used by BCM to authenticate with the LDAP server and search for user information. If the credentials are wrong or the bind user lacks the necessary permissions, authentication will fail. Verifying the bind user credentials and permissions is the most crucial troubleshooting step. The BCM service account is typically not involved in LDAP authentication. LDAP server usually not require anonymouse binds.

NEW QUESTION # 35
You are tasked with deploying NVIDIA Base Command Manager (BCM) on a Kubernetes cluster that utilizes NVIDIA GPUs for Ai workloads. The cluster already has the NVIDIA GPU Operator installed. Which of the following steps are crucial to ensure BCM can properly discover and manage the GPUs?

A. Verify that the 'nvidia-driver-daemonset' is running and properly mounting the NVIDIA drivers into the container pods.
B. Install CUDA toolkit separately within the container image used by BCM.
C. Configure RBAC (Role-Based Access Control) to grant BCM the necessary permissions to access GPU metrics and manage resources within the Kubernetes namespace.
D. Ensure the NVIDIA Device Plugin for Kubernetes is installed and correctly configured.
E. Deploy a separate monitoring solution like Prometheus to gather GPU metrics for BCM.

Answer: A,C,D

Explanation:
BCM relies on the NVIDIA Device Plugin to expose GPUs to Kubernetes. RBAC configuration is essential for BCM to interact with the cluster and manage GPU resources. The 'nvidia-driver-daemonset' ensures the necessary drivers are available within the pods where GPU workloads are executed. While a separate monitoring solution might provide additional insights, it's not strictly required for BCM's basic GPU discovery and management functionality. The CUDA toolkit is usually already present in the base images used for AI workloads.

NEW QUESTION # 36
What is the primary purpose of using a container runtime interface (CRI) with BCM and Kubernetes in an AI environment?

A. To handle networking for containers within the Kubernetes cluster.
B. To schedule pods onto nodes based on resource availability.
C. To provide a standard interface for Kubernetes to interact with different container runtimes (e.g., Docker, containerd).
D. To encrypt container images at rest and in transit.
E. To manage the lifecycle of containers (create, start, stop, delete).

Answer: C

Explanation:
The CRI allows Kubernetes to work with various container runtimes without being tightly coupled to a specific implementation. It defines an interface that container runtimes must implement. While A is true for a container runtime, the CRI is about Kubernetes interacting with it. The others are related to other parts of Kubernetes.

NEW QUESTION # 37
Your Kubernetes cluster is running a mixture of AI training and inference workloads. You want to ensure that inference services have higher priority over training jobs during peak resource usage times.
How would you configure Kubernetes to prioritize inference workloads?

A. Increase the number of replicas for inference services so they always have more resources than training jobs.
B. Implement ResourceQuotas and PriorityClasses to assign higher priority and resource guarantees to inference workloads over training jobs.
C. Use Horizontal Pod Autoscaling (HPA) based on memory usage to scale up inference services during peak times.
D. Set up a separate namespace for inference services and limit resource usage in other namespaces.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To prioritize inference workloads over training jobs in Kubernetes, administrators should configurePriorityClassesandResourceQuotas. PriorityClasses allow assigning different priority levels to pods, ensuring that during resource contention, higher-priority pods (inference services) receive resources first.
ResourceQuotas limit the resource consumption per namespace or user, controlling overall usage and reserving capacity for critical workloads. This setup effectively manages resource allocation and guarantees performance for inference jobs during peak times.
* Increasing replicas or namespaces alone does not guarantee priority during contention.
* HPA scales based on metrics but does not manage priority or resource guarantees directly.

NEW QUESTION # 38
......

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Hot Latest NCP-AIO Training | Professional NVIDIA NCP-AIO Latest Test Camp: NVIDIA AI Operations

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NVIDIA AI Operations Sample Questions (Q33-Q38):

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