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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI and Machine Learning Fundamentals | - AI, ML, DL concepts
|
| Topic 2: Industry Use Cases | - AI applications across industries
|
| Topic 3: AI Infrastructure and NetApp Solutions | - Converged workloads
|
| Topic 4: AI Lifecycle and Deployment | - End-to-end AI lifecycle
|
Network Appliance NetApp Certified AI Expert Sample Questions:
1. 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 centralized public cloud deployment in North America for maximum scalability.
B) A hybrid model using a public cloud for training and on-premises for inference.
C) An on-premises private cloud for training combined with edge deployments in each hospital for inference.
D) A multi-cloud strategy using different providers for training and inference to avoid vendor lock-in.
2. The Chief Information Security Officer (CISO) is concerned about the risk of a ransomware attack encrypting the critical vector database hosted on the NetApp AFF A-Series. The CISO wants a solution that can proactively detect and block a live attack in real-time, not just recover from a backup after the fact.
Which NetApp security feature should the architect enable on the vector database volume to meet this requirement?
A) Multi-Admin Verification (MAV)
B) Autonomous Ransomware Protection (ARP)
C) NetApp Volume Encryption (NVE)
D) NetApp SnapLock (Compliance Mode)
3. The architect is designing the complete, automated data pipeline from the on-premises data center to the Azure cloud for this medical imaging project. The design must prioritize security, efficiency, and reproducibility.
Which sequence of actions provides the most robust and automated solution?
A) Use SnapMirror to replicate the raw, sensitive data to Azure first, then run BlueXP classification in the cloud to find PII.
B) Use BlueXP classification to scan the on-prem data; use a DataOps Toolkit script to trigger a FlexClone of the source volume for anonymization; use SnapMirror to replicate the anonymized clone to Cloud Volumes ONTAP; then begin training in Azure.
C) Manually copy raw data to Azure, run a cloud-based script to anonymize it, then start training.
D) Use FabricPool to automatically tier all raw data to Azure Blob storage, then mount the blob container to the training VMs.
4. To comply with the security mandate, the architect must design a process to prevent client PII from the portfolio database from ever being included in the context sent to the LLM. Which two actions are required to build a robust and automated solution for this? (Choose 2.)
A) Rely on a disclaimer in the chatbot UI telling advisors not to enter queries related to specific clients.
B) Move the entire client portfolio database to an encrypted, air-gapped system.
C) Fine-tune the LLM on a sanitized dataset to teach it to ignore PII.
D) Use BlueXP classification to perform an initial scan of the portfolio database to identify and tag all columns containing PII.
E) Implement a data preparation step in the RAG pipeline that programmatically masks or excludes any data fields tagged as PII before the context is constructed.
5. An AI platform administrator is trying to deploy a new GenAI toolkit using the BlueXP Workload Factory. The deployment fails, and the administrator examines the API response from BlueXP.
{
"jobId": "we-deploy-genai-987zy",
"status": "FAILED",
"statusCode": 403,
"message":
"Forbidden: The service principal or user account used by the Connector does not have the required permissions on the target subscription to create a new resource group.
Required permission: 'Microsoft.Resources/subscriptions/resourcegroups/write'." } Based on this API response, what is the root cause of the deployment failure?
A) The GenAI toolkit requires a specific license that has not been added to the BlueXP digital wallet.
B) The selected ONTAP version does not support the GenAI toolkit.
C) The BlueXP Connector is offline and cannot communicate with the cloud provider.
D) The Azure service principal associated with the BlueXP Connector lacks the necessary IAM role to create resource groups.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D,E | Question # 5 Answer: D |

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