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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. What is the primary reason for implementing a hybrid cloud architecture in this medical imaging scenario?

A) To leverage the powerful, elastic GPU compute resources available in the public cloud for model training while keeping sensitive source data on-premises to meet security and HIPAA compliance requirements.
B) To exclusively use cloud-native AI services, eliminating the need for any on-premises hardware.
C) To simplify network management by using a single, global virtual network spanning the on- premises and cloud environments.
D) To reduce the overall cost of storage by keeping all data in the public cloud.

2. An AI architect needs to design a complete, end-to-end data pipeline for a new generative AI application at a financial services firm. The application will allow internal analysts to query a massive, 500 TB archive of historical market data and reports to generate summaries. The firm has the following environment and requirements:
Data_Sources: A mix of on-premises ONTAP filers and StorageGRID S3 buckets.
Requirement_1: All queries must be answered using only the private data archive.
Requirement_2: All generated summaries must provide citations to the source reports.
Requirement_3: All data containing client PII must be identified and excluded from the LLM context.
Requirement_4: The solution must be cost-effective for the large, mostly-read data archive.
Which set of actions and technologies constitutes the most robust and compliant solution?
(Select all that apply.)

A) Use SnapMirror to replicate the StorageGRID data lake to a high-performance NetApp ASA system for faster query performance.
B) Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.
C) Implement a Retrieval-Augmented Generation (RAG) architecture to meet the requirements for private data usage and source citation.
D) Use NetApp XCP to perform a one-time migration of all data from the ONTAP filers to the StorageGRID data lake.
E) During the RAG retrieval step, filter out any documents tagged as containing PII by BlueXP classification before sending them to the LLM.
F) Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.

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

4. The Chief Information Security Officer (CISO) is concerned about the risk of a ransomware attack encrypting the critical vector database hosted on the NetApp AFF A-Series. The CISO wants a solution that can proactively detect and block a live attack in real-time, not just recover from a backup after the fact.
Which NetApp security feature should the architect enable on the vector database volume to meet this requirement?

A) NetApp Volume Encryption (NVE)
B) NetApp SnapLock (Compliance Mode)
C) Multi-Admin Verification (MAV)
D) Autonomous Ransomware Protection (ARP)

5. An architect is designing a fully automated, end-to-end MLOps pipeline on Kubernetes for a computer vision use case. The pipeline must handle everything from data versioning to model deployment.
The required pipeline stages are:
1. Data Versioning: Create a new, immutable version of the master dataset for the pipeline run.
2. Data Preparation: Launch a pod to run a preprocessing script on the versioned data.
3. Model Training: Launch a distributed training job that reads the prepared data from a highperformance volume.
4. Model Deployment: Push the trained model to a production inference service.
Which combination of NetApp and Kubernetes technologies provides the most effective and automated solution for this entire pipeline?

A) Manually create a NetApp Snapshot via System Manager before each pipeline run, and use the NetApp DataOps Toolkit only for the training stage.
B) Use NetApp XCP to copy the data for each stage and configure static PersistentVolumes for each pod.
C) Use the NetApp DataOps Toolkit to create a Snapshot of the source data volume (for versioning), then create a FlexClone PVC from the snapshot for the preparation stage, and finally create a FlexGroup PVC for the training stage.
D) Use a single, large ReadWriteMany PVC for all stages to simplify the pipeline configuration.
E) Use NetApp SnapMirror for data versioning and manually create hostPath volumes for each pipeline stage.

Solutions: