NS0-901 study materials & NS0-901 exam preparation & NS0-901 pass score

Network Appliance NS0-901 : NetApp Certified AI Expert Exam

Exam Code: NS0-901

Exam Name: NetApp Certified AI Expert Exam

Updated: Aug 08, 2026

Q & A: 106 Questions and Answers

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Network Appliance NS0-901 Exam Syllabus Topics:

SectionWeightObjectives
AI Lifecycle27%- Predictive AI vs. Generative AI
  • 1. Impact of generative content (text, images, video, decision-making)
  • 2. Distinction between predictive and generative AI
  • 3. Large Language Models (LLMs)
- Model Development
  • 1. Model building
  • 2. Inferencing
  • 3. Fine-tuning workflows
- Generative AI Concepts
  • 1. Retrieval Augmented Generation (RAG)
  • 2. Fine-tuning
  • 3. Hallucinations
- Data Preparation
  • 1. XCP and CopySync
  • 2. NetApp BlueXP Classification
  • 3. Data aggregation and cleansing
AI Software Architectures18%- Development Tools
  • 1. Jupyter notebooks vs. pipelines
  • 2. NetApp DataOps Toolkit
- Scaling and Orchestration
  • 1. Leveraging BlueXP software tools
  • 2. Scaling AI workloads with Kubernetes
- MLOps and LLMOps Ecosystems
  • 1. Understanding the software tools and platforms enabling AI at scale
AI Overview15%- AI Deployment Models
  • 1. Cloud
  • 2. Edge
  • 3. Benefits and risks of each model
  • 4. On-premises
- Algorithm Types
  • 1. Reinforcement learning
  • 2. Unsupervised learning
  • 3. Supervised learning
- Machine Learning Fundamentals
  • 1. Understand the relationship between AI, machine learning, and deep learning
  • 2. Describe machine learning benefits
- AI Industry Applications
  • 1. Digital twins
  • 2. Healthcare applications
  • 3. Agents
- Training vs. Inferencing vs. Predictions
  • 1. Distinguish between training and inference workloads
- AI Convergence with HPC and Analytics
  • 1. Leveraging shared infrastructure for AI, HPC, and analytics
AI Common Challenges22%- Resource Management
  • 1. Controlling costs and securing storage
  • 2. Sizing storage and compute resources effectively
- Traceability and Optimization
  • 1. Maximizing performance in demanding AI workloads
  • 2. Ensuring traceability for code, data, and models
  • 3. Optimizing data access and movement
AI Hardware Architectures18%- Infrastructure Topologies
  • 1. Data aggregation and compute topologies
- NetApp Architectures
  • 1. BasePod
  • 2. SuperPOD
  • 3. OVX architectures
- Networking and Storage
  • 1. Network protocols for AI workloads
  • 2. Storage architectures for AI

Network Appliance NetApp Certified AI Expert Sample Questions:

1. The data scientists report that their Kubernetes-based data preparation jobs are failing. The pods are stuck in a 'Pending' state.
An MLOps engineer runs 'kubectl describe pvc data-prep-pvc-01' and sees the following event:
Type Reason Age From Message
- - - -
Warning ProvisioningFailed 2m15s trident-orchestrator-7b... failed to provision volume with StorageClass "bronze-tier": backend unavailable: no healthy backend with satisfying attributes for storage class "bronze-tier" The engineer checks the Trident backend configurations and finds no backend associated with the "bronze-tier" StorageClass.
What is the root cause of the failure?

A) The PersistentVolumeClaim is referencing a StorageClass that has no configured or healthy Trident backend to provision storage from.
B) The data preparation pods do not have the correct security permissions.
C) The Kubernetes scheduler is unable to find a node with enough resources for the pods.
D) The StorageGRID data lake is offline, preventing the creation of new volumes.


2. An organization's AI platform team needs to provide two distinct tiers of storage for their data scientists on a single Kubernetes cluster:
1. 'gold-tier': Extremely low-latency storage for active model training, using an all-flash NetApp ASA system.
2. 'bronze-tier': Cost-effective, high-capacity storage for data staging and archiving, using a NetApp StorageGRID system.
How should the platform team configure NetApp Trident to meet these requirements? (Select all that apply.)

A) Create two separate Trident backend configurations, one for the ASA ('backend-asa.yaml') and one for StorageGRID ('backend-sgrid.yaml').
B) Configure the 'bronze-tier' StorageClass to reference the StorageGRID backend.
C) Create a single StorageClass named 'multi-tier-storage' that references both backends.
D) Configure the 'gold-tier' StorageClass to reference the ASA backend.
E) Create two distinct StorageClasses, 'gold-tier' and 'bronze-tier'.
F) Create a single Trident backend that points to both the ASA and StorageGRID systems simultaneously.


3. 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) Generative learning
B) Unsupervised learning
C) Supervised learning
D) Reinforcement learning


4. An organization is developing a new AI-powered application. The initial phase involves feeding a curated 50 TB dataset of labeled images into a complex neural network, allowing the model to learn and adjust its internal parameters over millions of iterations. The second phase involves deploying this finalized model to a web service where it will process single, user-uploaded images and return a classification in real-time.
Which statement accurately describes these two phases?

A) Both Phase 1 and Phase 2 are examples of inferencing.
B) Phase 1 is training, and Phase 2 is inferencing.
C) Both Phase 1 and Phase 2 are examples of training.
D) Phase 1 is inferencing, and Phase 2 is training.


5. The Chief Information Security Officer (CISO) is concerned about the risk of a ransomware attack encrypting the critical vector database hosted on the NetApp AFF A-Series. The CISO wants a solution that can proactively detect and block a live attack in real-time, not just recover from a backup after the fact.
Which NetApp security feature should the architect enable on the vector database volume to meet this requirement?

A) NetApp Volume Encryption (NVE)
B) Autonomous Ransomware Protection (ARP)
C) Multi-Admin Verification (MAV)
D) NetApp SnapLock (Compliance Mode)


Solutions:

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

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