Network Appliance NS0-901 : NetApp Certified AI Expert Exam

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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. An organization is developing a new AI-powered application. The initial phase involves feeding a curated 50 TB dataset of labeled images into a complex neural network, allowing the model to learn and adjust its internal parameters over millions of iterations. The second phase involves deploying this finalized model to a web service where it will process single, user-uploaded images and return a classification in real-time.
Which statement accurately describes these two phases?

A) Phase 1 is inferencing, and Phase 2 is training.
B) Both Phase 1 and Phase 2 are examples of inferencing.
C) Phase 1 is training, and Phase 2 is inferencing.
D) Both Phase 1 and Phase 2 are examples of training.

2. An enterprise is planning a generative AI solution to power its internal support chatbot. The architect must choose between a RAG-based approach and fine-tuning a base model. The project stakeholders have provided a list of prioritized requirements.
| Requirement | Priority | Details
|
| | -- | |
| Factual Accuracy | Critical | Must use the latest product documentation, updated daily.
| | Brand Voice & Persona | High | Must respond in the company's specific, formal tone.
| | Development Cost | High | Limited budget for GPU compute hours for model training.
|
| Data Traceability | Critical | Must be able to cite the exact source document for each answer.
|
Which two recommendations should the architect make to best satisfy these requirements?
(Choose 2.)

A) Recommend training a new LLM from scratch to ensure both brand voice and factual accuracy are built-in.
B) Prioritize fine-tuning to embed the company's brand voice and persona into the model.
C) Prioritize a RAG architecture to meet the critical requirements for factual accuracy and data traceability.
D) Use RAG exclusively, as prompt engineering alone can fully replicate a specific brand voice and persona.
E) Propose a hybrid approach where a base model is first lightly fine-tuned for persona, then used within a RAG system for factual grounding.

3. An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)

A) A 10GbE Ethernet network for all data traffic.
B) NetApp StorageGRID as the primary storage for the training datasets.
C) GPUDirect Storage support on the storage system.
D) A tiered storage architecture using NetApp FabricPool.
E) An InfiniBand or RoCE-capable Ethernet network fabric.

4. In the data pipeline, which NetApp technology is used to create an efficient, block-level, incremental replication of the anonymized datasets from the on-premises ASA to the Cloud Volumes ONTAP instance in Azure?

A) NetApp BlueXP copy and sync
B) NetApp SnapMirror
C) NetApp XCP
D) NetApp FabricPool

5. 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 the NetApp DataOps Toolkit to manually script the failover process.
B) Rely on tape backups to be shipped to the DR site in the event of a disaster.
C) Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
D) 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.
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 NetApp FlexCache at the DR site to cache data from the primary site.

Solutions: