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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
Industry Use Cases	- AI applications across industries 1. Digital twins 2. Autonomous systems and agents 3. Healthcare AI
AI Lifecycle and Deployment	- End-to-end AI lifecycle 1. Data ingestion and preparation 2. Model training and validation 3. Model deployment and monitoring - Operational challenges 1. Scalability and performance optimization 2. Data governance and management
AI Infrastructure and NetApp Solutions	- Converged workloads 1. Shared infrastructure design considerations 2. AI, HPC, and analytics convergence - AI-ready data infrastructure 1. Data pipeline optimization for AI/ML workloads 2. High-performance storage for AI workloads
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. Supervised learning 2. Reinforcement learning 3. Unsupervised learning

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NS0-901 Reliable Real Test - NS0-901 Valid Test Topics

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q75-Q80):

NEW QUESTION # 75
The data science team in Azure reports that training jobs are taking longer than expected. An analysis of the Cloud Volumes ONTAP instance in Azure shows that the instance type is undersized for the I/O demands of the training workload. The architect needs to change the Azure VM instance type for the Cloud Volumes ONTAP system to a more powerful one.
The current configuration is:
Cloud_Provider: Azure
ONTAP_System: Cloud Volumes ONTAP (Single Node)
Current_Instance_Type: Standard_DS3_v2
Target_Instance_Type: Standard_E8s_v4
What is the most direct method to perform this operation using NetApp's management tools?

A. Terminate the existing Cloud Volumes ONTAP instance and deploy a new one with the target instance type, then restore data from backup.
B. SSH to the Cloud Volumes ONTAP instance and run an ONTAP command to modify the underlying VM.
C. Use the Azure portal to manually change the VM instance type.
D. From the BlueXP Canvas, select the Cloud Volumes ONTAP working environment and use the
"Change Instance Type" action in the Features panel.

Answer: D

NEW QUESTION # 76
The AI training jobs on the AIPod are performing below expectations. The NVIDIA DGX servers' GPUs show low utilization. A performance analysis reveals that the bottleneck is not the storage system itself, but the network path between the storage and the compute nodes.
The current network configuration is as follows:
Network_Fabric: 100GbE Standard Ethernet
Protocol: NFS over TCP/IP
Data_Path: Storage -> Host CPU -> GPU Memory
Which network architecture enhancement would provide the most significant performance improvement by reducing latency and CPU overhead?

A. Implement RDMA over Converged Ethernet (RoCE) and configure GPUDirect Storage.
B. Upgrade the network switches to a model with a larger packet buffer.
C. Add more 100GbE network ports to the storage controllers.
D. Isolate the storage traffic on a separate VLAN from the management traffic.

Answer: A

NEW QUESTION # 77
A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?

A. The learning mode is set to "normal," which may not detect zero-day attacks.
B. The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.
C. The action on detection is set only to "notify," which will not block the attack.
D. The volume is not part of any Snapshot schedule.

Answer: B

NEW QUESTION # 78
Which of the following describes the impact of generative AI in content creation?

A. Generative AI predicts customer preferences without creating new content.
B. Generative AI only processes pre-existing content.
C. Generative AI analyzes data without generating content.
D. Generative AI can create new content such as text, images, and videos.

Answer: D

NEW QUESTION # 79
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 # 80
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