New Network Appliance NS0-901 Exam Format | Study NS0-901 Material

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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
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
Industry Use Cases	- AI applications across industries 1. Autonomous systems and agents 2. Digital twins 3. Healthcare AI
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. Unsupervised learning 2. Reinforcement learning 3. Supervised learning
AI Lifecycle and Deployment	- Operational challenges 1. Data governance and management 2. Scalability and performance optimization - End-to-end AI lifecycle 1. Model deployment and monitoring 2. Model training and validation 3. Data ingestion and preparation

>> New Network Appliance NS0-901 Exam Format <<

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
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. Implement a converged data infrastructure where both the HPC and AI clusters access a single, high- performance data lake built on NetApp storage.
C. Install faster CPUs in the AI cluster's storage controllers.
D. Use NetApp XCP to perform the data copy, as it is faster than a standard NFS copy.

Answer: B

NEW QUESTION # 32
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. Supervised learning
B. Reinforcement learning
C. Generative learning
D. Unsupervised learning

Answer: B

NEW QUESTION # 33
A pharmaceutical company is creating a "digital twin" of its manufacturing process. This involves running complex simulations (an HPC workload) that generate massive datasets.
The company wants to use this data immediately for two other purposes:
1. Analytics: Business analysts need to run complex queries on the simulation output using tools like Spark.
2. AI Training: Data scientists need to use the same output as a training set for a predictive maintenance model.
The company wants to avoid creating separate data silos for each workload.
Which two NetApp technologies are best suited for building a unified data lake that can efficiently serve all three workloads (HPC, Analytics, AI)? (Choose 2.)

A. NetApp Keystone to provide a flexible, pay-as-you-go consumption model for the infrastructure.
B. NetApp Autonomous Ransomware Protection to secure the data from modification.
C. NetApp ONTAP with FlexGroup volumes to provide high-throughput, parallel NFS access for the HPC and AI training workloads.
D. NetApp SnapCenter to create application-consistent backups of the data.
E. NetApp StorageGRID to provide a scalable, S3-native object store that integrates directly with modern analytics platforms like Spark.

Answer: C,E

NEW QUESTION # 34
An internal audit requires the firm to prove the exact state of the financial product documentation that was used by the chatbot to answer a specific query from last Tuesday. The query log shows the request was processed at '2025-07-11T14:30:00Z'. The data pipeline that updates the vector database runs daily at midnight.
Which NetApp technology allows the team to instantly access an immutable, point-in-time version of the vector database volume as it existed on that specific day?

A. NetApp FlexClone
B. NetApp Snapshots
C. NetApp SnapMirror
D. NetApp FabricPool

Answer: B

NEW QUESTION # 35
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. A multi-cloud strategy using different providers for training and inference to avoid vendor lock-in.
B. A hybrid model using a public cloud for training and on-premises for inference.
C. A centralized public cloud deployment in North America for maximum scalability.
D. An on-premises private cloud for training combined with edge deployments in each hospital for inference.

Answer: D

NEW QUESTION # 36
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