Network Appliance NS0-901 exam dumps - NetApp Certified AI Expert Exam

Exam Code: NS0-901
Exam Name: NetApp Certified AI Expert Exam
Updated: Oct 10, 2026 Q & A: 106 Questions and Answers

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Network Appliance NS0-901 Exam Syllabus Topics:

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

Network Appliance NetApp Certified AI Expert Sample Questions:

Question #1

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

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #2

An architect is explaining different data storage paradigms to a new data engineering team. The team needs to understand where to store different types of data for their AI projects. Which statement accurately describes a key difference between a data lake and a data warehouse?

A. A data lake is only for on-premises deployments, while a data warehouse is only for cloud deployments.
B. A data lake is designed to store vast quantities of raw, multi-format data (structured, semi- structured, and unstructured), while a data warehouse is typically used for storing structured and filtered data that has already been processed for a specific purpose.
C. A data lake uses a schema-on-write approach, while a data warehouse uses a schema-on-read approach.
D. A data lake stores structured, processed data for fast querying, while a data warehouse stores raw, unstructured data in its native format.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

Question #3

The firm's CFO is concerned about the rising costs of the on-premises AI infrastructure. A storage utilization report shows that of the 200 TB of data on the high-performance AFF A-Series, 150 TB consists of inactive, older versions of product documents that are rarely accessed but must be kept online for regulatory reasons.
The current storage landscape is:
- Performance Tier: NetApp AFF A-Series (200 TB used)
- Capacity Tier: NetApp StorageGRID (1.5 PB used)
What is the most effective and automated solution to reduce the storage cost of the performance tier without impacting data accessibility?

A. Manually identify and delete the 150 TB of inactive data from the AFF A-Series.
B. Use NetApp SnapMirror to replicate the entire 200 TB volume to the StorageGRID system and then delete the source.
C. Implement NetApp FabricPool to automatically tier the inactive data blocks from the AFF A-Series to the StorageGRID system.
D. Purchase an additional, larger AFF A-Series system to gain better storage efficiency through deduplication.

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Question #4

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 BlueXP Connector deployed in a public subnet with a public IP address to allow access to the LLM.
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 private vector database hosted on an on-premises NetApp ONTAP system to store embeddings of the sensitive corporate data.

Reveal Solution Discussion 0

Correct Answer: D,E 🗳️

Question #5

A healthcare organization plans to use a large dataset of patient records to train a predictive model. Before training, they must identify and segregate all records containing Personally Identifiable Information (PII) to comply with privacy regulations. The data resides on an on- premises NetApp ONTAP cluster. The organization needs an automated tool to scan the data in- place and tag files containing PII without moving the data.
The project requirements are as follows:
Task: Identify PII in a large dataset.
Data_Location: On-premises ONTAP cluster.
Constraint: Data must not be moved from its source location for scanning.
Output: Tagged files containing PII.
Which NetApp tool is designed for this specific task?