Network Appliance NS0-901 Exam Information and Actual Questions

  • Exam Code/Number: NS0-901
  • Exam Name/Title: NetApp Certified AI Expert Exam
  • Certification Provider: Network Appliance
  • Corresponding Certification: NetApp Certified AI Expert
  • Exam Questions: 106
  • Updated On: Jun 28, 2026

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

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Network Appliance NS0-901 Exam Overview:

Certification Vendor:NetApp (Network Appliance)
Exam Name:NetApp Certified AI Expert Exam
Exam Number:NS0-901
Passing Score:66%
Exam Price:250 USD
Exam Format:Multiple-choice, Scenario-based questions
Available Languages:English
Real Exam Qty:60
Exam Duration:90 minutes
Certificate Validity Period:2 years
Sample Questions:Network Appliance NS0-901 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:6–12 months of technical experience with AI workloads; knowledge of NetApp ONTAP, AI frameworks, and data workflows
Official Syllabus URL:https://www.netapp.com/support-and-training/netapp-learning-services/certifications/ai-expert/

Network Appliance NS0-901 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: NetApp AI Solutions and Architecture25%- Storage architectures for AI workloads
- Scalability and performance optimization for AI
- NetApp AI-ready infrastructure components
- ONTAP integration with AI frameworks
- Data management and data pipeline design
Topic 2: Security, Reliability, and Operations15%- High availability and data protection
- Cost management and efficiency
- Monitoring, logging, and troubleshooting AI environments
- Data security and access control for AI
Topic 3: AI Overview15%- AI, machine learning, and deep learning concepts
- Algorithm types: supervised, unsupervised, reinforcement learning
- AI deployment models: on-premises, cloud, edge
- Convergence of AI, high-performance computing, and analytics
- AI industry use cases and applications
Topic 4: Cloud and Hybrid Cloud AI Deployment18%- Hybrid and multi-cloud AI architectures
- Data mobility and consistency across environments
- NetApp cloud data services for AI
- Cloud-native AI solutions and integration
Topic 5: AI Lifecycle27%- Predictive vs generative AI
- Model training, inference, and optimization
- AI governance, ethics, and compliance
- AI lifecycle stages: design, training, deployment, monitoring
- Data preparation and management for AI


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