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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Common Challenges | 22% | - Resource Management
|
| AI Software Architectures | 18% | - Scaling and Orchestration
|
| AI Overview | 15% | - Training vs. Inferencing vs. Predictions
|
| AI Hardware Architectures | 18% | - Infrastructure Topologies
|
| AI Lifecycle | 27% | - Generative AI Concepts
|
Network Appliance NetApp Certified AI Expert Sample Questions:
Question 1
A media company is building a new generative AI service. The project has two main components:
1. Data Lake & Fine-Tuning: A 300 TB repository of unstructured data (videos, images, text) stored as objects will be used to fine-tune a foundational model. This process requires a scalable, cost-effective storage solution that can integrate with cloud-native data processing tools like Apache Spark.
2. Inference & RAG: The fine-tuned model will be used in a customer-facing application that leverages Retrieval-Augmented Generation (RAG). To ensure low-latency responses, the RAG component requires extremely fast lookups from a 10 TB vector database.
The company needs a solution that optimizes both cost and performance for this entire lifecycle.
Which combination of NetApp technologies provides the most appropriate solution for this scenario?
A. Use NetApp Cloud Volumes ONTAP for the data lake and NetApp StorageGRID for the vector database.
B. Use a single, large NetApp ASA system for both the object data lake and the vector database.
C. Use NetApp StorageGRID for the data lake and a NetApp ASA system for the vector database.
D. Use NetApp E-Series for the data lake and a NetApp ASA system for the vector database.
Question 2
An automotive company runs crash simulations on a dedicated High-Performance Computing (HPC) cluster and trains computer vision models on a separate AI cluster. Data scientists are complaining about the long delays required to move terabytes of simulation output data from the HPC storage to the AI cluster's storage before they can begin training.
The current data flow is as follows:
HPC Cluster -> --Manual Copy (NFS)--> -> AI Cluster
An architect has been asked to redesign the infrastructure to eliminate this data movement bottleneck.
Which architectural change would be most effective?
A. Use NetApp XCP to perform the data copy, as it is faster than a standard NFS copy.
B. Implement a converged data infrastructure where both the HPC and AI clusters access a single, high- performance data lake built on NetApp storage.
C. Upgrade the network connection between the two storage systems to 200GbE.
D. Install faster CPUs in the AI cluster's storage controllers.
Question 3
A data scientist is working on a new model and needs a flexible environment for interactive data exploration, code development, and quick visualizations. A DevOps engineer is responsible for deploying the finalized model into a production pipeline that must run automatically every night without manual intervention.
Which tools are best suited for each of these roles?
A. The data scientist should use a Jupyter Notebook, and the DevOps engineer should use an automated production pipeline (e.g., Kubeflow Pipelines, Airflow).
B. Both the data scientist and the DevOps engineer should use automated production pipelines.
C. Both the data scientist and the DevOps engineer should use Jupyter Notebooks.
D. The data scientist should use a production pipeline, and the DevOps engineer should use a Jupyter Notebook.
Question 4
A data scientist on the team wants to run an experiment on a new vector indexing strategy. To do this, they need a temporary, writable copy of the main vector database. They use the NetApp DataOps Toolkit for Python to automate this process.
The following script is executed:
from netapp_dataops.k8s import clone_pvc
clone_pvc(
source_pvc_name="prod-vector-db-pvc",
new_pvc_name="exp-indexing-clone",
namespace="ds-prod"
)
Assuming the source PVC exists and the user has correct permissions, what is the primary benefit of using this method?
A. It creates a read-only Snapshot, ensuring the integrity of the experimental data.
B. It automatically migrates the data from the AFF A-Series to the StorageGRID system for the experiment.
C. It uses NetApp FlexClone technology to create a near-instantaneous, space-efficient writable copy of the volume, accelerating the experimental workflow.
D. It creates a full physical copy of the data, providing the best performance isolation.
Question 5
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 SnapLock (Compliance Mode)
B. NetApp Volume Encryption (NVE)
C. Autonomous Ransomware Protection (ARP)
D. Multi-Admin Verification (MAV)
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: C |







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