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Network Appliance NS0-901 Exam Syllabus Topics:

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

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Network Appliance NetApp Certified AI Expert Exam 認定 NS0-901 試験問題 (Q36-Q41):

質問 # 36
A financial services company has deployed a real-time fraud detection model at the edge. The model is designed for low-latency inference. However, monitoring reports indicate that the infrastructure costs are excessively high, and GPU utilization is consistently low. The architect reviews the deployment configuration.
Instance_Type: NVIDIA DGX A100 (8 GPUs)
Storage_Tier: High-Performance All-Flash (NetApp ASA)
Network: 100GbE RoCE
GPU_Utilization_Avg: 5%
Monthly_Cost: $15,000
Workload_Profile: Low-volume, sporadic, real-time predictions
What is the most likely cause of the high costs and low utilization?

A. The compute and storage infrastructure is sized for a large-scale training workload, not a lightweight inference workload.
B. The network latency is too high for an edge deployment.
C. The model was trained using supervised learning, which is inefficient for fraud detection.
D. The storage tier is too slow, causing the GPUs to wait for data.

正解：A

質問 # 37
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. From the BlueXP Canvas, select the Cloud Volumes ONTAP working environment and use the
"Change Instance Type" action in the Features panel.
B. SSH to the Cloud Volumes ONTAP instance and run an ONTAP command to modify the underlying VM.
C. Terminate the existing Cloud Volumes ONTAP instance and deploy a new one with the target instance type, then restore data from backup.
D. Use the Azure portal to manually change the VM instance type.

正解：A

質問 # 38
An organization recently suffered a ransomware attack that encrypted several volumes on their primary ONTAP storage system, including a critical volume containing curated training data. The security team needs to implement a solution that can proactively detect and block ransomware- like file I/O patterns and automatically create a secure Snapshot copy before any damage is done.
The current ONTAP configuration is as follows:
ONTAP_Version: 9.12.1
Security_Features: SnapLock (Compliance Mode) on archive volumes
Anti-Virus_Scan: Enabled (Vscan)
Ransomware_Detection: Not configured
Which ONTAP feature should be enabled to provide this proactive, automated protection?

A. Increase the frequency of scheduled Snapshots.
B. Use BlueXP backup and recovery to back up the volumes to the cloud more frequently.
C. Enable Multi-Admin Verification (MAV) on all volumes.
D. Enable Autonomous Ransomware Protection (ARP).

正解：D

質問 # 39
A company is running its AI training workloads on a NetApp AFF A-Series system. To manage costs, they want to automatically move inactive training datasets and older model checkpoints from the high- performance all-flash tier to a lower-cost object storage tier, such as an on- premises StorageGRID or a public cloud bucket. The process must be transparent to the data scientists and not require changes to their scripts or file paths.
Which two NetApp technologies should be combined to achieve this goal? (Choose 2.)

A. NetApp FabricPool
B. NetApp SnapMirror
C. NetApp StorageGRID
D. NetApp FlexCache
E. NetApp XCP

正解：A、C

質問 # 40
An AI infrastructure architect is tasked with designing a solution to address two critical challenges in a large, multi-petabyte AI environment:
1. Cost: A significant portion of the data on the high-performance all-flash storage is inactive but must remain online. The cost of storing this cold data on the performance tier is prohibitive.
2. Traceability: Data scientists need a simple, space-efficient way to version their datasets at key points in their workflow to ensure reproducibility.
The environment consists of NetApp AFF A-Series and NetApp StorageGRID systems.
Which combination of NetApp technologies should the architect implement to solve both challenges simultaneously? (Select all that apply.)

A. Use BlueXP backup and recovery to create backups on StorageGRID, then delete the original volumes from the AFF systems.
B. Use NetApp XCP to periodically move cold data from the AFF systems to StorageGRID.
C. Implement NetApp FlexClone to create full, writable copies of datasets for each experiment.
D. Implement NetApp FabricPool to automatically tier cold data blocks from the AFF systems to StorageGRID.
E. Use NetApp SnapMirror to replicate volumes from the AFF systems to StorageGRID for archival.
F. Train data scientists to use NetApp Snapshots to create point-in-time, read-only versions of their data volumes.

正解：D、F

質問 # 41
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