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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
AI and Machine Learning Fundamentals	- AI, ML, DL concepts 1. Differences between AI, machine learning, and deep learning 2. Training, inference, and prediction workflows - Algorithm types 1. Unsupervised learning 2. Reinforcement learning 3. Supervised learning
Industry Use Cases	- AI applications across industries 1. Autonomous systems and agents 2. Healthcare AI 3. Digital twins
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. 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. High-performance storage for AI workloads 2. Data pipeline optimization for AI/ML workloads

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Network Appliance NetApp Certified AI Expert Exam 認定 NS0-901 試験問題 (Q100-Q105):

質問 # 100
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 Retrieval-Augmented Generation (RAG) architecture.
B. A fine-tuning pipeline to update the LLM daily.
C. A predictive AI model to classify legal documents.
D. A new LLM trained from scratch on the legal documents.

正解：A

質問 # 101
An organization is planning to deploy a large AI infrastructure but wants to avoid a large, upfront capital expenditure. They prefer an operational expenditure (OpEx) model where they pay for storage and compute resources as they are consumed. They also need the flexibility to scale resources up or down based on project demands.
Which NetApp consumption model is specifically designed to meet these financial and operational requirements?

A. A perpetual licensing model for all ONTAP software features.
B. NetApp Cloud Volumes ONTAP PAYGO licensing only.
C. A standard capital purchase of AFF and ASA systems.
D. NetApp Keystone, which provides a subscription-based, pay-as-you-go service for on-premises and cloud storage.

正解：D

質問 # 102
The company decides to establish a disaster recovery (DR) site in a secondary data center for the entire Digital Twin platform. The DR plan must protect the HPC data, the AI training data, and the central data lake.
The DR requirements are:
- RPO: 4 hours for all data.
- RTO: 24 hours for the entire platform.
- Process: The failover and failback process should be as automated as possible.
Which combination of technologies provides the most comprehensive DR solution?

A. Use NetApp SnapMirror for the ASA, StorageGRID replication for the data lake, and rely on tape backups for the E-Series/BeeGFS data.
B. Use NetApp SnapMirror for the ASA, StorageGRID's built-in replication for the data lake, and a host- based tool like 'rsync' for the E-Series/BeeGFS data, all orchestrated via BlueXP disaster recovery.
C. Deploy a MetroCluster configuration spanning the primary and DR sites for all three storage systems.
D. Use BlueXP backup and recovery to back up all three storage systems (ASA, E-Series, StorageGRID) to a single cloud target.

正解：B

質問 # 103
Which of the following describes the impact of generative AI in content creation?

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

正解：B

質問 # 104
The company's finance department mandates a cost-control strategy for the petabyte-scale StorageGRID data lake. The analysis shows that 80% of the simulation data is not accessed after
90 days but must be retained for five years for regulatory compliance. Which StorageGRID feature should the architect use to automatically reduce the long-term storage costs for this inactive data?

A. Implement a FabricPool policy to tier the data to a NetApp ASA system.
B. Enable deduplication and compression on all StorageGRID storage nodes.
C. Use NetApp SnapMirror to replicate the cold data to a different, lower-cost StorageGRID cluster.
D. Configure an Information Lifecycle Management (ILM) policy that automatically moves objects older than 90 days to a lower-cost cloud archive tier, such as Amazon S3 Glacier Deep Archive.

正解：D

質問 # 105
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