BEST Verified Network Appliance NS0-901 Exam Questions (2026) [Q53-Q76]

BEST Verified Network Appliance NS0-901 Exam Questions (2026)

The Best Practice Test Preparation for the NS0-901 Certification Exam

NEW QUESTION # 53
A pharmaceutical company is creating a "digital twin" of its manufacturing process. This involves running complex simulations (an HPC workload) that generate massive datasets.
The company wants to use this data immediately for two other purposes:
1. Analytics: Business analysts need to run complex queries on the simulation output using tools like Spark.
2. AI Training: Data scientists need to use the same output as a training set for a predictive maintenance model.
The company wants to avoid creating separate data silos for each workload.
Which two NetApp technologies are best suited for building a unified data lake that can efficiently serve all three workloads (HPC, Analytics, AI)? (Choose 2.)

A. NetApp Keystone to provide a flexible, pay-as-you-go consumption model for the infrastructure.
B. NetApp StorageGRID to provide a scalable, S3-native object store that integrates directly with modern analytics platforms like Spark.
C. NetApp SnapCenter to create application-consistent backups of the data.
D. NetApp Autonomous Ransomware Protection to secure the data from modification.
E. NetApp ONTAP with FlexGroup volumes to provide high-throughput, parallel NFS access for the HPC and AI training workloads.

Answer: B,E

NEW QUESTION # 54
An automotive company runs crash simulations on a dedicated High-Performance Computing (HPC) cluster and trains computer vision models on a separate AI cluster. Data scientists are complaining about the long delays required to move terabytes of simulation output data from the HPC storage to the AI cluster's storage before they can begin training.
The current data flow is as follows:
HPC Cluster -> --Manual Copy (NFS)--> -> AI Cluster
An architect has been asked to redesign the infrastructure to eliminate this data movement bottleneck.
Which architectural change would be most effective?

A. Use NetApp XCP to perform the data copy, as it is faster than a standard NFS copy.
B. Install faster CPUs in the AI cluster's storage controllers.
C. Upgrade the network connection between the two storage systems to 200GbE.
D. Implement a converged data infrastructure where both the HPC and AI clusters access a single, high- performance data lake built on NetApp storage.

Answer: D

NEW QUESTION # 55
The "Advisor Assistant" application, running as a pod in Kubernetes, suddenly cannot access its data on the AFF A-Series. The application logs show "connection timed out" errors. The network team provides a firewall log snippet for the traffic between the application pod and the storage system's NFS data LIF.
TIME | SRC_IP | DST_IP | PROTO | DST_PORT | ACTION
-|--||-|-|-
2025-07-11T16:01:10Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 111 | BLOCKED 2025-07-
11T16:01:12Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 2049 | BLOCKED What is the most likely cause of the connectivity failure?

A. The application pod has incorrect mount options configured.
B. The AFF A-Series does not support the NFS protocol.
C. The ONTAP system's data LIF is offline.
D. A network firewall between the pod's subnet and the storage subnet is blocking the required NFS ports.

Answer: D

NEW QUESTION # 56
Which of the following platforms provides tools for model training and deployment specifically for AI workloads?

A. RunAI
B. Domino Data Labs
C. All of the above
D. Google VertexAI

Answer: C

NEW QUESTION # 57
An architect is designing a cost-optimized storage solution for a large AI environment that has two distinct data temperature profiles:
1. Hot Data (200 TB): Actively used training sets and models requiring all-flash performance.
2. Cold Data (2 PB): Inactive, archived datasets and old model versions that must remain online but are infrequently accessed.
The solution must automatically manage data placement based on activity, without requiring manual intervention or changes to file paths. The environment consists of an on-premises data center and a public cloud account.
Which combination of NetApp technologies provides the most complete and cost-effective solution? (Select all that apply.)

A. Deploy NetApp StorageGRID on-premises to serve as a cost-effective capacity tier for the cold data.
B. Use NetApp XCP to manually script the daily movement of cold files from the AFF system to StorageGRID.
C. Deploy a single, large Cloud Volumes ONTAP instance to hold both the hot and cold data tiers.
D. Use NetApp FabricPool to automatically and transparently tier cold data blocks from the AFF A- Series to the StorageGRID system.
E. Deploy a NetApp AFF A-Series system on-premises to serve as the high-performance tier for the hot data.
F. Use NetApp SnapMirror to create a full copy of the 2 PB of cold data on the AFF A-Series for faster access if needed.

Answer: A,D,E

NEW QUESTION # 58
A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times.
The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions. Which type of machine learning algorithm is being used in this scenario?

A. Reinforcement learning
B. Unsupervised learning
C. Generative learning
D. Supervised learning

Answer: A

NEW QUESTION # 59
An MLOps team is using the BlueXP Workload Factory to automate the deployment of a Jupyter notebook environment for a new data scientist. The deployment job fails. The team reviews the job details in the BlueXP UI.
Job ID: 78a1c-2b3d-4e5f
Service: BlueXP Workload Factory
Action: Deploy JupyterHub on Kubernetes
Status: FAILED
Error Message: "Failed to create PersistentVolumeClaim 'jupyter-pvc-user01'.
User 'service-account- bluexp' does not have permission to 'create' resource
'persistentvolumeclaims' in cluster 'k8s-prod- cluster-01'."
What is the most direct way to resolve this issue?

A. Restart the BlueXP Connector to refresh its permissions.
B. Manually create the PersistentVolumeClaim using 'kubectl'.
C. Modify the Kubernetes RBAC (Role-Based Access Control) configuration to grant the 'service- account-bluexp' the necessary permissions to create PVCs in the target cluster.
D. Increase the storage quota for the 'jupyter-pvc-user01' PVC.

Answer: C

NEW QUESTION # 60
An AI operations team is troubleshooting why their RAG-based chatbot is providing outdated information. They have confirmed that the vector database embedding process is functioning correctly, but suspect an issue with the initial data synchronization that moves the knowledge base from an on- premises ONTAP file share to a cloud staging bucket.
They inspect the relevant BlueXP copy and sync job and find the following details:
Service: BlueXP copy and sync
Relationship_Name: KB_Sync_to_Vector_Staging
Source: nfs://ontap-cluster-1/vol_kb/docs
Destination: s3://vector-staging-bucket-89a3/latest/
Last_Sync_Status: FAILED
Last_Sync_Time: 2025-07-11T02:00:15Z
Error_Message: "Authentication error:
Unable to access source.
Check export policy on 'vol_kb'."
Based on this information, what is the most direct solution to fix the data pipeline?

A. Modify the NFS export policy on the 'vol_kb' volume on the on-premises ONTAP cluster to grant access to the BlueXP Connector.
B. Fine-tune the LLM with the latest data instead of using the RAG system.
C. Check the IAM permissions for the role associated with the S3 bucket.
D. Re-run the vector database embedding job.

Answer: A

NEW QUESTION # 61
A data scientist needs to test a new data normalization technique. To do this, they require an isolated, writable copy of a 50 TB curated simulation dataset that resides on the NetApp ASA system. The operation must be completed as quickly as possible and consume minimal additional storage space. Which NetApp technology is the most appropriate solution for this requirement?

A. NetApp FabricPool
B. NetApp FlexClone
C. NetApp XCP
D. NetApp SnapMirror

Answer: B

NEW QUESTION # 62
A research institute is designing an infrastructure to support its entire AI drug discovery pipeline.
The pipeline has two distinct workload requirements:
1. Training: A team of data scientists needs to train several large transformer models simultaneously using a 500 TB dataset of genomic sequences. This process requires maximum data throughput to keep the GPUs saturated.
2. Inference: Once trained, the models are deployed to an internal web portal where researchers submit individual protein sequences for analysis. These queries must return results with the lowest possible latency.
Which infrastructure design best satisfies both requirements? (Choose 2.)

A. Configure QoS minimums on the training volumes to ensure they do not impact inference performance.
B. Use NetApp StorageGRID as the primary storage for both the training and low-latency inference workloads.
C. Use a single, large Cloud Volumes ONTAP instance in a public cloud to handle both workloads to simplify management.
D. Implement NetApp FlexCache on smaller nodes at the network edge to serve the inference requests.
E. Deploy a large NetApp ASA cluster with GPUDirect Storage enabled for the training environment.

Answer: D,E

NEW QUESTION # 63
An AI architect is planning the resource allocation for a new project. The primary task is to process millions of unlabeled customer reviews to identify naturally occurring groups or themes without any prior guidance.
The project requirements are summarized below:
Task: Discover hidden patterns in text data
Input_Data: 10 million unlabeled text reviews
Output: Clustered groups of related reviews
Supervision: None
Which type of machine learning algorithm is required for this task?

A. Predictive learning
B. Unsupervised learning
C. Reinforcement learning
D. Supervised learning

Answer: B

NEW QUESTION # 64
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)

A. Rely on tape backups to be shipped to the DR site in the event of a disaster.
B. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
C. Use StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.
D. Use the NetApp DataOps Toolkit to manually script the failover process.
E. Use NetApp FlexCache at the DR site to cache data from the primary site.
F. Use NetApp SnapMirror to create an asynchronous replication relationship for the AFF A-Series volume containing the vector database, with a schedule of 10 minutes.

Answer: B,C,F

NEW QUESTION # 65
An AI infrastructure engineer is troubleshooting a poorly performing distributed training job. The job is running across multiple nodes, each equipped with powerful GPUs. The engineer observes that overall GPU utilization is unexpectedly low. System-level monitoring on the compute nodes provides the following metrics during a training run.
avg_gpu_utilization: 25%
avg_cpu_iowait_percent: 65%
avg_network_bandwidth_util: 95% (on a 10GbE network)
storage_array_latency: <1ms
Given these metrics, what is the most likely bottleneck causing the low GPU utilization?

A. The network connecting the compute nodes and storage is saturated and has become the primary bottleneck.
B. The storage array is too slow and cannot serve data quickly enough.
C. The CPU is underpowered and cannot preprocess the data fast enough for the GPUs.
D. The GPUs are faulty and cannot process data at their rated speed.

Answer: A

NEW QUESTION # 66
An organization has a core data center with a large AI training cluster and several remote edge locations for data ingest and local inference. The edge locations frequently need access to the latest models trained in the core data center, but WAN bandwidth is limited and can be unreliable.
Users at the edge are reporting slow model loading times.
An architect reviews the data access logs from an edge site:
Timestamp: 2025-07-11T15:30:00Z
Event: Model_Load_Request
Model_Path: nfs://core-filer.example.com/vol/models/latest_model.pkl
Source_IP: 192.168.100.15 (Edge Server)
Destination_IP: 10.1.1.50 (Core Filer)
Status: SUCCESS
Duration: 3600s (60 minutes)
What is the most likely cause of the slow model loading times at the edge?

A. The model file is being transferred over a slow, high-latency WAN link for every load request.
B. The NFS version used between the core and edge is outdated.
C. The core ONTAP filer is using slow, capacity-based disks.
D. The edge server does not have enough RAM to cache the model effectively.

Answer: A

NEW QUESTION # 67
The data science team in Azure reports that training jobs are taking longer than expected. An analysis of the Cloud Volumes ONTAP instance in Azure shows that the instance type is undersized for the I/O demands of the training workload. The architect needs to change the Azure VM instance type for the Cloud Volumes ONTAP system to a more powerful one.
The current configuration is:
Cloud_Provider: Azure
ONTAP_System: Cloud Volumes ONTAP (Single Node)
Current_Instance_Type: Standard_DS3_v2
Target_Instance_Type: Standard_E8s_v4
What is the most direct method to perform this operation using NetApp's management tools?

A. Terminate the existing Cloud Volumes ONTAP instance and deploy a new one with the target instance type, then restore data from backup.
B. Use the Azure portal to manually change the VM instance type.
C. SSH to the Cloud Volumes ONTAP instance and run an ONTAP command to modify the underlying VM.
D. From the BlueXP Canvas, select the Cloud Volumes ONTAP working environment and use the
"Change Instance Type" action in the Features panel.

Answer: D

NEW QUESTION # 68
The firm's data science team needs to run a high-priority, interactive model analysis job that requires immediate access to two GPUs. However, all GPUs in the cluster are currently allocated to long-running, lower-priority batch training jobs.
The MLOps platform, Run:AI, shows the following queue status:
JOB_ID | PROJECT | STATUS | PRIORITY | GPU_ALLOCATED
||--|-|
batch_job_1 | team_a | Running | Low | 2
batch_job_2 | team_a | Running | Low | 2
batch_job_3 | team_b | Running | Low | 4
interactive_1| team_c | Pending | High | 2 (requested)
How does the Run:AI platform address this resource contention to allow the high-priority job to run?

A. It automatically terminates all low-priority jobs to free up the entire cluster.
B. It keeps the high-priority job in a pending state until the low-priority jobs complete naturally.
C. It automatically pauses one of the low-priority jobs, saves its state, and allocates its GPUs to the high- priority job, placing the paused job back in the queue.
D. It sends an email notification to the administrator to manually reallocate the GPUs.

Answer: C

NEW QUESTION # 69
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 volume is protected by SnapLock, and the Snapshot has not reached its expiry date.
B. The Snapshot is locked by a SnapMirror relationship.
C. The 'vsadmin' role does not have permission to delete Snapshots.
D. Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.

Answer: D

NEW QUESTION # 70
Which storage protocols are commonly used for handling large-scale AI data? (Choose two)

A. Parallel file systems
B. Object-based storage
C. POSIX-based file systems
D. File-based systems

Answer: A,B

NEW QUESTION # 71
An organization wants to provide its data science team with a secure, on-demand method for using a powerful generative AI model with their private, sensitive corporate data. The solution must ensure that the private data is never exposed to the public internet or the public LLM API endpoint.
The architect is designing a solution using BlueXP.
Which two components are essential for building this secure solution? (Choose 2.)

A. A policy in BlueXP classification to copy all sensitive data to a public cloud bucket for easier access.
B. A private vector database hosted on an on-premises NetApp ONTAP system to store embeddings of the sensitive corporate data.
C. A direct VPN connection from each data scientist's laptop to the public LLM provider.
D. The BlueXP GenAI Toolkit, which acts as a proxy to intercept user prompts and enrich them with data from a local vector database.
E. A BlueXP Connector deployed in a public subnet with a public IP address to allow access to the LLM.

Answer: B,D

NEW QUESTION # 72
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 Cloud Volumes ONTAP instance with a standard file system.
C. A NetApp StorageGRID system accessed via the S3 protocol.
D. A NetApp ASA system serving a single, large NFS volume.

Answer: A

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

Answer: A,B

NEW QUESTION # 74
An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process. Which of the following are the four essential requirements for model generation?

A. A pre-trained model, a validation set, an inference engine, and a cloud provider.
B. A project manager, a data scientist, a software engineer, and a budget.
C. A data lake, a data warehouse, a data pipeline, and a data mart.
D. Data, code, compute, and time.

Answer: D

NEW QUESTION # 75
To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)

A. NetApp SnapLock to make the source data immutable before scanning.
B. A custom "PII" category within BlueXP classification to identify specific medical record number formats.
C. NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
D. A custom Python script that uses regular expressions to search file contents.
E. A manual review process where technicians visually inspect each scan for PII.

Answer: B,C

NEW QUESTION # 76
......

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BEST Verified Network Appliance NS0-901 Exam Questions (2026) [Q53-Q76]

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