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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
NetApp AI Solutions and Architecture	25%	- 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
AI Overview	15%	- AI, machine learning, and deep learning concepts - AI deployment models: on-premises, cloud, edge - AI industry use cases and applications - Convergence of AI, high-performance computing, and analytics - Algorithm types: supervised, unsupervised, reinforcement learning
AI Lifecycle	27%	- Data preparation and management for AI - AI governance, ethics, and compliance - Model training, inference, and optimization - Predictive vs generative AI - AI lifecycle stages: design, training, deployment, monitoring
Cloud and Hybrid Cloud AI Deployment	18%	- NetApp cloud data services for AI - Hybrid and multi-cloud AI architectures - Data mobility and consistency across environments - Cloud-native AI solutions and integration
Security, Reliability, and Operations	15%	- High availability and data protection - Monitoring, logging, and troubleshooting AI environments - Data security and access control for AI - Cost management and efficiency

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)

A. NetApp StorageGRID as the primary storage for the training datasets.
B. A tiered storage architecture using NetApp FabricPool.
C. GPUDirect Storage support on the storage system.
D. An InfiniBand or RoCE-capable Ethernet network fabric.
E. A 10GbE Ethernet network for all data traffic.

Answer: C,D

NEW QUESTION # 86
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. 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.
B. Configure an NFS export policy on the 'prod-docs' bucket and provide the auditors with the mount path.
C. Create a new StorageGRID tenant account for the auditors with full S3 access.
D. Provide the auditors with the root access keys for the StorageGRID system.

Answer: A

NEW QUESTION # 87
An architect is designing a comprehensive AI platform for a large enterprise. The platform must support the entire data lifecycle, from ingest at the edge to a central data lake, and finally to a high- performance training cluster.
The requirements are:
- Edge Ingest: Data must be collected at remote sites and efficiently replicated to the core.
- Data Lake: A central, petabyte-scale repository for unstructured data, accessible via the S3 protocol.
- Training Cluster: A high-performance compute cluster that requires low-latency, parallel file access to training datasets.
- Data Traceability: All datasets used for training must be immutably versioned.
Which combination of NetApp technologies and protocols should the architect choose to build this solution? (Select all that apply.)

A. Use NetApp Snapshots on the training dataset volumes to create immutable, point-in-time versions for traceability.
B. Use a NetApp E-Series system with a parallel file system (like BeeGFS) to provide high- performance, parallel file access for the training cluster.
C. Use NetApp StorageGRID to create the petabyte-scale, S3-accessible data lake at the core.
D. Use iSCSI as the primary protocol for the data lake to ensure maximum compatibility.
E. Use NetApp ONTAP systems at the edge and NetApp SnapMirror to replicate data to the core data center.
F. Use NetApp FlexCache to tier cold data from the data lake to the public cloud.

Answer: A,B,C,E

NEW QUESTION # 88
In the data pipeline, which NetApp technology is used to create an efficient, block-level, incremental replication of the anonymized datasets from the on-premises ASA to the Cloud Volumes ONTAP instance in Azure?

A. NetApp BlueXP copy and sync
B. NetApp XCP
C. NetApp FabricPool
D. NetApp SnapMirror

Answer: D

NEW QUESTION # 89
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 StorageGRID to provide a scalable, S3-native object store that integrates directly with modern analytics platforms like Spark.
B. NetApp ONTAP with FlexGroup volumes to provide high-throughput, parallel NFS access for the HPC and AI training workloads.
C. NetApp Keystone to provide a flexible, pay-as-you-go consumption model for the infrastructure.
D. NetApp SnapCenter to create application-consistent backups of the data.
E. NetApp Autonomous Ransomware Protection to secure the data from modification.

Answer: A,B

NEW QUESTION # 90
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