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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
AI Lifecycle	27%	- Generative AI Concepts 1. Retrieval Augmented Generation (RAG) 2. Hallucinations 3. Fine-tuning - Predictive AI vs. Generative AI 1. Impact of generative content (text, images, video, decision-making) 2. Large Language Models (LLMs) 3. Distinction between predictive and generative AI - Model Development 1. Inferencing 2. Model building 3. Fine-tuning workflows - Data Preparation 1. Data aggregation and cleansing 2. XCP and CopySync 3. NetApp BlueXP Classification
AI Common Challenges	22%	- Traceability and Optimization 1. Maximizing performance in demanding AI workloads 2. Optimizing data access and movement 3. Ensuring traceability for code, data, and models - Resource Management 1. Controlling costs and securing storage 2. Sizing storage and compute resources effectively
AI Hardware Architectures	18%	- Infrastructure Topologies 1. Data aggregation and compute topologies - Networking and Storage 1. Network protocols for AI workloads 2. Storage architectures for AI - NetApp Architectures 1. OVX architectures 2. BasePod 3. SuperPOD
AI Overview	15%	- AI Industry Applications 1. Digital twins 2. Agents 3. Healthcare applications - AI Convergence with HPC and Analytics 1. Leveraging shared infrastructure for AI, HPC, and analytics - AI Deployment Models 1. On-premises 2. Benefits and risks of each model 3. Cloud 4. Edge - Training vs. Inferencing vs. Predictions 1. Distinguish between training and inference workloads - Machine Learning Fundamentals 1. Understand the relationship between AI, machine learning, and deep learning 2. Describe machine learning benefits - Algorithm Types 1. Supervised learning 2. Unsupervised learning 3. Reinforcement learning
AI Software Architectures	18%	- MLOps and LLMOps Ecosystems 1. Understanding the software tools and platforms enabling AI at scale - Development Tools 1. Jupyter notebooks vs. pipelines 2. NetApp DataOps Toolkit - Scaling and Orchestration 1. Scaling AI workloads with Kubernetes 2. Leveraging BlueXP software tools

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Network Appliance NetApp Certified AI Expert Exam 認定 NS0-901 試験問題 (Q56-Q61):

質問 # 56
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 full physical copy of the client portfolio database to a separate volume, mount it to the compute nodes, and run the analysis.
B. 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.
C. Run the analysis job directly against the production portfolio database during off-peak hours.
D. Use NetApp SnapMirror to replicate the portfolio database volume to the DR site, and run the analysis jobs there.

正解：B

質問 # 57
The firm's CFO is concerned about the rising costs of the on-premises AI infrastructure. A storage utilization report shows that of the 200 TB of data on the high-performance AFF A-Series, 150 TB consists of inactive, older versions of product documents that are rarely accessed but must be kept online for regulatory reasons.
The current storage landscape is:
- Performance Tier: NetApp AFF A-Series (200 TB used)
- Capacity Tier: NetApp StorageGRID (1.5 PB used)
What is the most effective and automated solution to reduce the storage cost of the performance tier without impacting data accessibility?

A. Manually identify and delete the 150 TB of inactive data from the AFF A-Series.
B. Implement NetApp FabricPool to automatically tier the inactive data blocks from the AFF A-Series to the StorageGRID system.
C. Purchase an additional, larger AFF A-Series system to gain better storage efficiency through deduplication.
D. Use NetApp SnapMirror to replicate the entire 200 TB volume to the StorageGRID system and then delete the source.

正解：B

質問 # 58
An AI architect is designing a solution for a legal firm. The primary goal is to allow lawyers to ask natural language questions about case law stored in a private, 50 TB document repository.
The key project constraints are as follows:
Project_Goal: Answer questions using proprietary, real-time legal documents.
Constraint_1: Must not alter the foundational LLM's weights due to compliance.
Constraint_2: Case law database is updated daily with new rulings.
Constraint_3: All generated answers must be traceable to a source document.
Which technology should the architect choose as the core of this solution?

A. A new LLM trained from scratch on the legal documents.
B. A fine-tuning pipeline to update the LLM daily.
C. A predictive AI model to classify legal documents.
D. A Retrieval-Augmented Generation (RAG) architecture.

正解：D

質問 # 59
What is the primary difference between C-Series and A-Series storage for AI workloads?

A. C-Series is designed for high-performance workloads, while A-Series focuses on cost-efficiency for general storage.
B. A-Series is for smaller-scale AI workloads, while C-Series supports large-scale, high-performance AI applications.
C. C-Series supports both file and object-based storage, while A-Series is optimized for object storage.
D. A-Series provides GPU-based acceleration, while C-Series only supports CPU-based workloads.

正解：A

質問 # 60
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)

A. Use NetApp FlexCache at the DR site to cache data from the primary site.
B. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
C. Use the NetApp DataOps Toolkit to manually script the failover process.
D. Rely on tape backups to be shipped to the DR site in the event of a disaster.
E. Use NetApp SnapMirror to create an asynchronous replication relationship for the AFF A-Series volume containing the vector database, with a schedule of 10 minutes.
F. Use StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.

正解：B、E、F

質問 # 61
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