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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. Due to the success of the "Advisor Assistant," the number of concurrent users is expected to double in the next quarter. The existing Kubernetes cluster is running at 80% of its GPU capacity during peak hours. The architect must propose a plan to scale the compute infrastructure to handle the increased load.
Which two strategies represent the most effective and scalable solutions? (Choose 2.)

A) Horizontally scale the cluster by adding new GPU-equipped nodes.
B) Vertically scale the existing nodes by adding more RAM and CPU cores to each one.
C) Replace all existing GPUs with the next-generation model to increase the performance of each node.
D) Manually deploy all new application replicas to a single, new, very large "super-node".
E) Configure the Kubernetes Cluster Autoscaler to automatically add new nodes to the cluster from a predefined node pool when GPU demand exceeds current capacity.

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 XCP
B) NetApp SnapMirror
C) NetApp FlexCache
D) NetApp FabricPool

3. A junior administrator is attempting to delete an old, unused Snapshot copy from a production volume to reclaim space but receives an error. The administrator is certain they are using the correct command and have the appropriate 'vsadmin' role.
The command and error are shown below:
cluster-1::> volume snapshot delete -vserver svm_prod -volume app_data -snapshot nightly.2025- 06-15_0015 Error: command failed: This operation is not permitted. Deletion of Snapshot copy "nightly.2025-
06-15_0015" on volume "app_data" in Vserver "svm_prod" requires approval.
Use the "security multi-admin-verify approval show" command to view pending approvals.
What is the most likely reason the administrator cannot delete the Snapshot?

A) The Snapshot is locked by a SnapMirror relationship.
B) Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.
C) The 'vsadmin' role does not have permission to delete Snapshots.
D) The volume is protected by SnapLock, and the Snapshot has not reached its expiry date.

4. A distributed training job running on the AIPod fails to start. The MLOps engineer inspects the events for one of the pending training pods and sees the following message:
Events:
Type Reason Age From Message
- - - -
Warning FailedScheduling 5m12s default-scheduler 0/4 nodes are available: 4 node(s) had no available volume zone.
The PersistentVolumeClaim (PVC) for this pod specifies a StorageClass that uses the 'ontap-nas' Trident provisioner.
he Trident logs show no errors.
What is the most likely cause of this scheduling failure?

A) The NetApp ASA storage system is offline.
B) The training pod's container image does not exist in the registry.
C) The Kubernetes nodes do not have the necessary NFS client utilities installed.
D) The 'requiredTopology' in the StorageClass is misconfigured, preventing Trident from finding a valid ONTAP backend in the same zone as the available compute nodes.

5. An AI team is planning two separate projects. The architect needs to provision the appropriate infrastructure for each.
| | Project A | Project B|
| -- | | - |
| Goal | Build a novel image recognition model from scratch.
| Adapt an existing, pre- trained LLM to understand company-specific jargon. |
| Input Data | 10 million new, unlabeled images. | A 50 GB text corpus of internal documents. |
| Required Compute | Very High (Weeks of multi-GPU training) | Moderate (Hours of single-GPU training) | Which two statements accurately describe the infrastructure requirements for these projects?
(Choose two.)

A) Both projects should use NetApp StorageGRID as the primary storage for training to ensure low latency.
B) Project A requires only a large amount of data, while Project B requires only a large amount of code.
C) Project A is a model building task and requires a significantly larger and more powerful compute and storage infrastructure than Project B.
D) Both projects are examples of fine-tuning and have similar infrastructure needs.
E) Project B is a fine-tuning task, which leverages an existing model and requires less data and compute resources than building a model from scratch.

Solutions: