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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: NetApp AI Solutions and Architecture	25%	- Data management and data pipeline design - Storage architectures for AI workloads - ONTAP integration with AI frameworks - NetApp AI-ready infrastructure components - Scalability and performance optimization for AI
Topic 2: AI Lifecycle	27%	- AI governance, ethics, and compliance - Model training, inference, and optimization - Predictive vs generative AI - AI lifecycle stages: design, training, deployment, monitoring - Data preparation and management for AI
Topic 3: Security, Reliability, and Operations	15%	- Cost management and efficiency - Data security and access control for AI - Monitoring, logging, and troubleshooting AI environments - High availability and data protection
Topic 4: AI Overview	15%	- AI, machine learning, and deep learning concepts - Algorithm types: supervised, unsupervised, reinforcement learning - Convergence of AI, high-performance computing, and analytics - AI industry use cases and applications - AI deployment models: on-premises, cloud, edge
Topic 5: Cloud and Hybrid Cloud AI Deployment	18%	- NetApp cloud data services for AI - Cloud-native AI solutions and integration - Hybrid and multi-cloud AI architectures - Data mobility and consistency across environments

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
The company's compliance officer mandates that all raw simulation data in the StorageGRID data lake must be protected from modification or deletion for a period of seven years. Which two StorageGRID features should be implemented to meet this strict, long-term data immutability requirement? (Choose 2.)

A. Use NetApp SnapMirror to replicate the data to a second StorageGRID system.
B. Encrypt all objects in the bucket using server-side encryption (SSE).
C. Configure an Information Lifecycle Management (ILM) rule that applies to the bucket and sets a retention period of seven years.
D. Enable Autonomous Ransomware Protection (ARP) on the StorageGRID system.
E. Create a new S3 bucket with Object Lock enabled in Compliance mode.

Answer: C,E

NEW QUESTION # 72
An AI architect is reviewing the design for a new data lake. The primary requirement is to store petabytes of unstructured data (images, video, sensor logs) in a highly durable, scalable, and cost- effective manner. The data will be accessed via S3 API by various data processing and analytics applications.
The initial design proposes using a traditional Network Attached Storage (NAS) filer with a large number of disks. The architect reviews the proposal:
Proposed_System: Traditional NAS Filer
Protocol: NFSv4
Scalability_Model: Scale-up
Metadata_Handling: Centralized in filer head
Cost_per_GB: Moderate
Why is this proposed system a poor choice for a petabyte-scale data lake?

A. NFS is incapable of storing image or video files.
B. A NAS filer cannot be deployed on-premises.
C. The S3 API cannot be used to access data stored on an NFS file system.
D. A traditional scale-up NAS system will face scalability and cost-effectiveness challenges at the petabyte scale compared to an object storage system.

Answer: D

NEW QUESTION # 73
An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process. Which of the following are the four essential requirements for model generation?

A. A data lake, a data warehouse, a data pipeline, and a data mart.
B. A pre-trained model, a validation set, an inference engine, and a cloud provider.
C. Data, code, compute, and time.
D. A project manager, a data scientist, a software engineer, and a budget.

Answer: C

NEW QUESTION # 74
The firm wants to extend the "Advisor Assistant" to include a new batch processing feature. Every night, the system must analyze every client portfolio against a set of 50 different risk models and generate a compliance report. This is a highly parallel, read-intensive workload. The architect must design a data workflow that is efficient and does not impact the production chatbot environment. Which sequence of actions and technologies provides the most effective solution?

A. Create a NetApp Snapshot of the portfolio database volume, create a FlexClone from that snapshot, mount the FlexClone to the analysis pods, and run the batch job.
B. Create a full physical copy of the client portfolio database to a separate volume, mount it to the compute nodes, and run the analysis.
C. Use NetApp SnapMirror to replicate the portfolio database volume to the DR site, and run the analysis jobs there.
D. Run the analysis job directly against the production portfolio database during off-peak hours.

Answer: A

NEW QUESTION # 75
The "Advisor Assistant" application, running as a pod in Kubernetes, suddenly cannot access its data on the AFF A-Series. The application logs show "connection timed out" errors. The network team provides a firewall log snippet for the traffic between the application pod and the storage system's NFS data LIF.
TIME | SRC_IP | DST_IP | PROTO | DST_PORT | ACTION
-|--||-|-|-
2025-07-11T16:01:10Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 111 | BLOCKED 2025-07-
11T16:01:12Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 2049 | BLOCKED What is the most likely cause of the connectivity failure?

A. The application pod has incorrect mount options configured.
B. The AFF A-Series does not support the NFS protocol.
C. A network firewall between the pod's subnet and the storage subnet is blocking the required NFS ports.
D. The ONTAP system's data LIF is offline.

Answer: C

NEW QUESTION # 76
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