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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
Topic 1: AI and Machine Learning Fundamentals	- Algorithm types 1. Reinforcement learning 2. Supervised learning 3. Unsupervised learning - AI, ML, DL concepts 1. Training, inference, and prediction workflows 2. Differences between AI, machine learning, and deep learning
Topic 2: AI Lifecycle and Deployment	- Operational challenges 1. Data governance and management 2. Scalability and performance optimization - End-to-end AI lifecycle 1. Data ingestion and preparation 2. Model training and validation 3. Model deployment and monitoring
Topic 3: AI Infrastructure and NetApp Solutions	- AI-ready data infrastructure 1. High-performance storage for AI workloads 2. Data pipeline optimization for AI/ML workloads - Converged workloads 1. AI, HPC, and analytics convergence 2. Shared infrastructure design considerations
Topic 4: Industry Use Cases	- AI applications across industries 1. Healthcare AI 2. Autonomous systems and agents 3. Digital twins

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
A new team of external auditors requires read-only access to the raw financial product documentation stored in the StorageGRID data lake. The data is in a bucket named 'prod-docs'.
The security team must ensure the auditors can list and read objects but cannot write, delete, or modify any data. Which is the most appropriate method to grant this specific access?

A. Configure an NFS export policy on the 'prod-docs' bucket and provide the auditors with the mount path.
B. Provide the auditors with the root access keys for the StorageGRID system.
C. Create a new group and user within StorageGRID, and attach an S3 group policy that explicitly allows only 's3:GetObject' and 's3:ListBucket' actions on the 'prod-docs' bucket.
D. Create a new StorageGRID tenant account for the auditors with full S3 access.

Answer: C

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

Answer: C

NEW QUESTION # 55
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. Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.
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. The Snapshot is locked by a SnapMirror relationship.

Answer: A

NEW QUESTION # 56
An architect is designing an AI solution for a European hospital chain to analyze patient diagnostic scans. The project is subject to strict GDPR regulations, which mandate that patient data cannot leave the sovereign territory. The application also requires near-instantaneous results for physicians reviewing the scans in the hospital.
Which deployment model best satisfies these security and performance requirements?

A. An on-premises private cloud for training combined with edge deployments in each hospital for inference.
B. A hybrid model using a public cloud for training and on-premises for inference.
C. A multi-cloud strategy using different providers for training and inference to avoid vendor lock-in.
D. A centralized public cloud deployment in North America for maximum scalability.

Answer: A

NEW QUESTION # 57
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. Unsupervised learning
B. Reinforcement learning
C. Predictive learning
D. Supervised learning

Answer: A

NEW QUESTION # 58
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