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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. An AI research team is experiencing slow model training times. Their performance monitoring indicates that the GPUs are frequently idle, waiting for data. They want to implement a single technology change to create a more direct data path between their storage and GPUs.
Their current setup is as follows:
Compute: Server with NVIDIA A100 GPUs
Storage: NetApp AFF A-Series (All-Flash)
Network: 100GbE Ethernet
Data_Path: Storage -> Host CPU/Memory -> GPU Memory
Which technology should the architect recommend to specifically address this data path inefficiency?

A) GPUDirect Storage
B) NetApp FabricPool
C) A faster CPU in the server
D) NetApp SnapMirror

2. Which of the following best describes the difference between data lakes, data warehouses, and lakehouses?

A) Data lakes store structured data, data warehouses store unstructured data, and lakehouses store only real-time data.
B) Data lakes store raw, unstructured data, data warehouses store structured data, and lakehouses combine the features of both.
C) Data lakes store data in cloud storage, data warehouses store it in traditional databases, and lakehouses store it in external drives.
D) Data lakes store metadata, data warehouses store transaction data, and lakehouses store archival data.

3. An MLOps engineer is deploying a training pod that requires a high-performance volume. After applying the pod and PVC manifests, the pod remains in a 'Pending' state. The engineer runs
'kubectl describe pod training-pod-7d8c' and sees the following event:
Events:
Type Reason Age From Message
- - - -
Warning FailedScheduling 2m15s
default-scheduler 0/4 nodes are available: 1 node(s) had volume node affinity conflict, 3 node(s) didn't find available persistent volume to bind.
The engineer then inspects the associated PVC and sees its status is also 'Pending'.
What is the most likely cause of this issue?

A) The 'storageClassName' specified in the PVC does not match any existing StorageClass managed by Trident.
B) The Kubernetes scheduler is malfunctioning and cannot assign pods to nodes.
C) The Trident controller pod has crashed and needs to be restarted.
D) The ONTAP backend is out of available capacity to provision a new volume.

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

5. To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)

A) NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
B) A custom "PII" category within BlueXP classification to identify specific medical record number formats.
C) A custom Python script that uses regular expressions to search file contents.
D) NetApp SnapLock to make the source data immutable before scanning.
E) A manual review process where technicians visually inspect each scan for PII.

Solutions: