Network Appliance NS0-901 dumps - in .pdf

NS0-901 pdf
  • Exam Code: NS0-901
  • Exam Name: NetApp Certified AI Expert Exam
  • Updated: Jun 30, 2026
  • Q & A: 106 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: NS0-901
  • Exam Name: NetApp Certified AI Expert Exam
  • Updated: Jun 30, 2026
  • Q & A: 106 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Network Appliance NS0-901 dumps - Testing Engine

NS0-901 Testing Engine
  • Exam Code: NS0-901
  • Exam Name: NetApp Certified AI Expert Exam
  • Updated: Jun 30, 2026
  • Q & A: 106 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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NS0-901 exam dumps

Network Appliance NetApp Certified AI Expert Sample Questions:

1. An AI platform is suffering from poor performance during distributed training jobs. The training data resides on a single, large NFS volume. Monitoring shows that while the overall network throughput to the storage system is high, individual GPU nodes experience significant I/O wait times, and the single ONTAP volume is becoming a performance bottleneck. The goal is to re- architect the storage layout to maximize read parallelism and throughput for the training cluster.
Which two actions should the architect take to address this performance bottleneck? (Choose 2.)

A) Replace the NFS protocol with iSCSI for all training data access.
B) Enable QoS maximums on the training volume to limit its IOPS.
C) Use NetApp FlexCache to create a local cache of the training data on each compute node.
D) Increase the number of network ports connected to the storage controller.
E) Implement a NetApp FlexGroup volume to spread the dataset across multiple constituent volumes and aggregates.


2. The architect needs to design an efficient data flow to move curated training sets from the central StorageGRID data lake to the high-performance NetApp ASA system used by the AI cluster. The process must be manageable from a single interface and should be automatable. Which two NetApp technologies should be used to implement this data pipeline stage? (Choose 2.)

A) A custom Python script using the NetApp DataOps Toolkit to trigger the data movement.
B) NetApp BlueXP copy and sync service to create and manage the data synchronization relationship between the S3 source and the NFS/CIFS destination.
C) NetApp FabricPool to automatically tier the data from StorageGRID to the ASA.
D) NetApp SnapMirror to replicate data from the StorageGRID object store to the ASA's file system.
E) A manual copy process using an S3 client on a bastion host.


3. The company's compliance officer mandates that all raw simulation data in the StorageGRID data lake must be protected from modification or deletion for a period of seven years. Which two StorageGRID features should be implemented to meet this strict, long-term data immutability requirement? (Choose 2.)

A) Create a new S3 bucket with Object Lock enabled in Compliance mode.
B) Configure an Information Lifecycle Management (ILM) rule that applies to the bucket and sets a retention period of seven years.
C) Enable Autonomous Ransomware Protection (ARP) on the StorageGRID system.
D) Encrypt all objects in the bucket using server-side encryption (SSE).
E) Use NetApp SnapMirror to replicate the data to a second StorageGRID system.


4. An architect is designing a fully automated, end-to-end MLOps pipeline on Kubernetes for a computer vision use case. The pipeline must handle everything from data versioning to model deployment.
The required pipeline stages are:
1. Data Versioning: Create a new, immutable version of the master dataset for the pipeline run.
2. Data Preparation: Launch a pod to run a preprocessing script on the versioned data.
3. Model Training: Launch a distributed training job that reads the prepared data from a highperformance volume.
4. Model Deployment: Push the trained model to a production inference service.
Which combination of NetApp and Kubernetes technologies provides the most effective and automated solution for this entire pipeline?

A) Use NetApp SnapMirror for data versioning and manually create hostPath volumes for each pipeline stage.
B) Use a single, large ReadWriteMany PVC for all stages to simplify the pipeline configuration.
C) Use the NetApp DataOps Toolkit to create a Snapshot of the source data volume (for versioning), then create a FlexClone PVC from the snapshot for the preparation stage, and finally create a FlexGroup PVC for the training stage.
D) Manually create a NetApp Snapshot via System Manager before each pipeline run, and use the NetApp DataOps Toolkit only for the training stage.
E) Use NetApp XCP to copy the data for each stage and configure static PersistentVolumes for each pod.


5. An architect is designing a comprehensive AI platform for a large enterprise. The platform must support the entire data lifecycle, from ingest at the edge to a central data lake, and finally to a high- performance training cluster.
The requirements are:
- Edge Ingest: Data must be collected at remote sites and efficiently replicated to the core.
- Data Lake: A central, petabyte-scale repository for unstructured data, accessible via the S3 protocol.
- Training Cluster: A high-performance compute cluster that requires low-latency, parallel file access to training datasets.
- Data Traceability: All datasets used for training must be immutably versioned.
Which combination of NetApp technologies and protocols should the architect choose to build this solution? (Select all that apply.)

A) Use a NetApp E-Series system with a parallel file system (like BeeGFS) to provide high- performance, parallel file access for the training cluster.
B) Use NetApp Snapshots on the training dataset volumes to create immutable, point-in-time versions for traceability.
C) Use iSCSI as the primary protocol for the data lake to ensure maximum compatibility.
D) Use NetApp ONTAP systems at the edge and NetApp SnapMirror to replicate data to the core data center.
E) Use NetApp FlexCache to tier cold data from the data lake to the public cloud.
F) Use NetApp StorageGRID to create the petabyte-scale, S3-accessible data lake at the core.


Solutions:

Question # 1
Answer: C,E
Question # 2
Answer: A,B
Question # 3
Answer: A,B
Question # 4
Answer: C
Question # 5
Answer: A,B,D,F

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