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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
Topic 1: AI Lifecycle and Deployment	- End-to-end AI lifecycle 1. Model deployment and monitoring 2. Data ingestion and preparation 3. Model training and validation - Operational challenges 1. Data governance and management 2. Scalability and performance optimization
Topic 2: AI and Machine Learning Fundamentals	- Algorithm types 1. Unsupervised learning 2. Supervised learning 3. Reinforcement learning - AI, ML, DL concepts 1. Training, inference, and prediction workflows 2. Differences between AI, machine learning, and deep learning
Topic 3: AI Infrastructure and NetApp Solutions	- AI-ready data infrastructure 1. Data pipeline optimization for AI/ML workloads 2. High-performance storage for AI workloads - Converged workloads 1. AI, HPC, and analytics convergence 2. Shared infrastructure design considerations
Topic 4: Industry Use Cases	- AI applications across industries 1. Digital twins 2. Autonomous systems and agents 3. Healthcare AI

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
A data scientist needs to test a new data normalization technique. To do this, they require an isolated, writable copy of a 50 TB curated simulation dataset that resides on the NetApp ASA system. The operation must be completed as quickly as possible and consume minimal additional storage space. Which NetApp technology is the most appropriate solution for this requirement?

A. NetApp FabricPool
B. NetApp FlexClone
C. NetApp SnapMirror
D. NetApp XCP

Answer: B

NEW QUESTION # 27
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. Run the analysis job directly against the production portfolio database during off-peak hours.
C. Use NetApp SnapMirror to replicate the portfolio database volume to the DR site, and run the analysis jobs there.
D. Create a full physical copy of the client portfolio database to a separate volume, mount it to the compute nodes, and run the analysis.

Answer: A

NEW QUESTION # 28
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 SnapMirror
B. NetApp XCP
C. NetApp FlexCache
D. NetApp FabricPool
E. NetApp StorageGRID

Answer: D,E

NEW QUESTION # 29
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. Use BlueXP backup and recovery to back up the volumes to the cloud more frequently.
B. Enable Autonomous Ransomware Protection (ARP).
C. Enable Multi-Admin Verification (MAV) on all volumes.
D. Increase the frequency of scheduled Snapshots.

Answer: B

NEW QUESTION # 30
Given the firm's requirements for using a private, constantly updated knowledge base and the strict mandate for data traceability, which AI architecture is the most appropriate foundation for the "Advisor Assistant" chatbot?

A. A standalone LLM deployed in an air-gapped environment with no access to the document repository.
B. A Retrieval-Augmented Generation (RAG) architecture that retrieves relevant context from a local vector database to enrich prompts sent to the LLM.
C. A fine-tuning architecture where a base LLM is continuously retrained on the entire document repository.
D. A predictive AI model trained to forecast market trends.

Answer: B

NEW QUESTION # 31
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