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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. An AI platform is suffering from poor performance during distributed training jobs. The training data resides on a single, large NFS volume. Monitoring shows that while the overall network throughput to the storage system is high, individual GPU nodes experience significant I/O wait times, and the single ONTAP volume is becoming a performance bottleneck. The goal is to re- architect the storage layout to maximize read parallelism and throughput for the training cluster.
Which two actions should the architect take to address this performance bottleneck? (Choose 2.)

A) Replace the NFS protocol with iSCSI for all training data access.
B) Enable QoS maximums on the training volume to limit its IOPS.
C) Use NetApp FlexCache to create a local cache of the training data on each compute node.
D) Implement a NetApp FlexGroup volume to spread the dataset across multiple constituent volumes and aggregates.
E) Increase the number of network ports connected to the storage controller.

2. An architect is designing an AI solution for a European hospital chain to analyze patient diagnostic scans. The project is subject to strict GDPR regulations, which mandate that patient data cannot leave the sovereign territory. The application also requires near-instantaneous results for physicians reviewing the scans in the hospital.
Which deployment model best satisfies these security and performance requirements?

A) A multi-cloud strategy using different providers for training and inference to avoid vendor lock-in.
B) A centralized public cloud deployment in North America for maximum scalability.
C) A hybrid model using a public cloud for training and on-premises for inference.
D) An on-premises private cloud for training combined with edge deployments in each hospital for inference.

3. 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) Use NetApp SnapMirror to replicate the cold data to a different, lower-cost StorageGRID cluster.
C) 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.
D) Enable deduplication and compression on all StorageGRID storage nodes.

4. The firm decides to expand the "Advisor Assistant" project to a new team in a different department. This team needs its own isolated environment. An MLOps engineer attempts to submit a new GPU- intensive job for the new team, but it remains pending. The engineer checks the Run:AI scheduler logs and finds the following entry:
time="2025-07-11T16:45:00Z" level=info msg="Job ds-new-team-job1 cannot be scheduled.
Project 'new-team-project' has exceeded its GPU quota. Quota: 0, Requested: 1, Used: 0." What is the root cause of the scheduling failure?

A) A Run:AI project quota has been configured for the new team, but it has been set to zero, effectively blocking them from using any GPU resources.
B) The Kubernetes cluster has no available GPUs.
C) The Run:AI scheduler is offline and cannot process new jobs.
D) The job is requesting a specific type of GPU that is not available in the cluster.

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

Solutions: