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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Infrastructure and NetApp Solutions | - Converged workloads
|
| Topic 2: Industry Use Cases | - AI applications across industries
|
| Topic 3: AI Lifecycle and Deployment | - End-to-end AI lifecycle
|
| Topic 4: AI and Machine Learning Fundamentals | - AI, ML, DL concepts
|
Network Appliance NetApp Certified AI Expert Sample Questions:
Question 1
A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?
A. Trident will create a 1 Gi volume, as this is the default size for all PVCs.
B. The PVC will fail because a 'storageClassName' is not explicitly defined.
C. The PVC will remain in a "Pending" state until a PersistentVolume is manually created.
D. Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.
Question 2
A data science team works primarily at a central data center but needs to run a short-term, burst- compute training job in the public cloud to take advantage of specialized GPUs that are not available on- premises. They need to efficiently and securely move a 20 TB dataset from their on- premises ONTAP cluster to a Cloud Volumes ONTAP instance for the duration of the job.
The data flow requirement is as follows:
Source: On-premises ONTAP cluster
Destination: Cloud Volumes ONTAP in AWS
Requirement: Efficient, secure, block-level data transfer.
Which NetApp technology is the most appropriate tool for this task?
A. NetApp FlexCache
B. NetApp FabricPool
C. NetApp XCP
D. NetApp SnapMirror
Question 3
A data science team reports that their Jupyter notebook pod, which was previously working, is now failing to start. The pod's status is 'CrashLoopBackOff'. An MLOps engineer investigates and finds that the pod's PersistentVolumeClaim (PVC) is bound, but the pod logs show a "Permission denied" error when trying to write to its '/data' mount point.
The engineer checks the Trident backend configuration associated with the pod's StorageClass:
apiVersion: trident.netapp.io/v1
kind: TridentBackendConfig
metadata:
name: ontap-nas-eco
spec:
version: 1
storageDriverName: ontap-nas
managementLIF: 10.10.20.5
dataLIF: 10.10.20.10
svm: svm-prod-ds
exportPolicy: read-only-policy
What is the most likely cause of the "Permission denied" error?
A. The 'dataLIF' is configured incorrectly and is unreachable from the Kubernetes nodes.
B. The 'storageDriverName' should be 'ontap-san' for all AI workloads.
C. The Trident backend is configured to use an export policy ('read-only-policy') that does not grant write permissions to the Kubernetes nodes.
D. The Kubernetes pod has an invalid 'securityContext' that prevents it from writing to any volume.
Question 4
The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?
A. A NetApp E-Series system serving a BeeGFS parallel file system.
B. A NetApp ASA system serving a single, large NFS volume.
C. A Cloud Volumes ONTAP instance with a standard file system.
D. A NetApp StorageGRID system accessed via the S3 protocol.
Question 5
An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)
A. An InfiniBand or RoCE-capable Ethernet network fabric.
B. A tiered storage architecture using NetApp FabricPool.
C. NetApp StorageGRID as the primary storage for the training datasets.
D. GPUDirect Storage support on the storage system.
E. A 10GbE Ethernet network for all data traffic.
Solutions:
| Question 1 Answer: D | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A,D |







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