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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

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

2. 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 SnapMirror
B) NetApp FabricPool
C) NetApp FlexClone
D) NetApp XCP

3. 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 predictive AI model trained to forecast market trends.
C) A fine-tuning architecture where a base LLM is continuously retrained on the entire document repository.
D) A Retrieval-Augmented Generation (RAG) architecture that retrieves relevant context from a local vector database to enrich prompts sent to the LLM.

4. Which AI technology is used to generate new, never-before-seen content such as images or text?

A) Predictive AI
B) Generative AI
C) Supervised AI
D) Reinforcement AI

5. An architect is designing a comprehensive AI platform for a large enterprise. The platform must support the entire data lifecycle, from ingest at the edge to a central data lake, and finally to a high- performance training cluster.
The requirements are:
- Edge Ingest: Data must be collected at remote sites and efficiently replicated to the core.
- Data Lake: A central, petabyte-scale repository for unstructured data, accessible via the S3 protocol.
- Training Cluster: A high-performance compute cluster that requires low-latency, parallel file access to training datasets.
- Data Traceability: All datasets used for training must be immutably versioned.
Which combination of NetApp technologies and protocols should the architect choose to build this solution? (Select all that apply.)

A) Use NetApp StorageGRID to create the petabyte-scale, S3-accessible data lake at the core.
B) Use iSCSI as the primary protocol for the data lake to ensure maximum compatibility.
C) Use NetApp FlexCache to tier cold data from the data lake to the public cloud.
D) Use NetApp ONTAP systems at the edge and NetApp SnapMirror to replicate data to the core data center.
E) Use NetApp Snapshots on the training dataset volumes to create immutable, point-in-time versions for traceability.
F) Use a NetApp E-Series system with a parallel file system (like BeeGFS) to provide high- performance, parallel file access for the training cluster.

Solutions: