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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
AI Overview	15%	- AI industry use cases and applications - AI deployment models: on-premises, cloud, edge - Algorithm types: supervised, unsupervised, reinforcement learning - AI, machine learning, and deep learning concepts - Convergence of AI, high-performance computing, and analytics
Cloud and Hybrid Cloud AI Deployment	18%	- Cloud-native AI solutions and integration - Hybrid and multi-cloud AI architectures - Data mobility and consistency across environments - NetApp cloud data services for AI
AI Lifecycle	27%	- Model training, inference, and optimization - AI governance, ethics, and compliance - AI lifecycle stages: design, training, deployment, monitoring - Data preparation and management for AI - Predictive vs generative AI
NetApp AI Solutions and Architecture	25%	- Storage architectures for AI workloads - Data management and data pipeline design - ONTAP integration with AI frameworks - NetApp AI-ready infrastructure components - Scalability and performance optimization for AI
Security, Reliability, and Operations	15%	- Data security and access control for AI - Cost management and efficiency - High availability and data protection - Monitoring, logging, and troubleshooting AI environments

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q95-Q100):

NEW QUESTION # 95
What is the primary architectural advantage of using a NetApp AIPod with NVIDIA DGX servers for the AI training cluster, as described in the scenario?

A. It prioritizes CPU performance over GPU performance for traditional machine learning algorithms.
B. It is a reference architecture that is pre-validated by NetApp and NVIDIA to eliminate design complexity and ensure predictable performance for AI workloads.
C. It is designed for small-scale, departmental AI projects and cannot be scaled.
D. It exclusively uses object storage, which simplifies access for data scientists using S3-native tools.

Answer: B

NEW QUESTION # 96
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 BlueXP classification, configured to scan the on-premises ASA working environment.
B. A manual review process where technicians visually inspect each scan for PII.
C. NetApp SnapLock to make the source data immutable before scanning.
D. A custom Python script that uses regular expressions to search file contents.
E. A custom "PII" category within BlueXP classification to identify specific medical record number formats.

Answer: A,E

NEW QUESTION # 97
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. The 'vsadmin' role does not have permission to delete Snapshots.
C. The volume is protected by SnapLock, and the Snapshot has not reached its expiry date.
D. Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.

Answer: D

NEW QUESTION # 98
A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?

A. The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.
B. The volume is not part of any Snapshot schedule.
C. The learning mode is set to "normal," which may not detect zero-day attacks.
D. The action on detection is set only to "notify," which will not block the attack.

Answer: A

NEW QUESTION # 99
An AI research team is experiencing slow model training times. Their performance monitoring indicates that the GPUs are frequently idle, waiting for data. They want to implement a single technology change to create a more direct data path between their storage and GPUs.
Their current setup is as follows:
Compute: Server with NVIDIA A100 GPUs
Storage: NetApp AFF A-Series (All-Flash)
Network: 100GbE Ethernet
Data_Path: Storage -> Host CPU/Memory -> GPU Memory
Which technology should the architect recommend to specifically address this data path inefficiency?

A. NetApp FabricPool
B. A faster CPU in the server
C. NetApp SnapMirror
D. GPUDirect Storage

Answer: D

NEW QUESTION # 100
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