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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Overview | 15% | - AI deployment models: on-premises, cloud, edge - Convergence of AI, high-performance computing, and analytics - AI, machine learning, and deep learning concepts - AI industry use cases and applications - Algorithm types: supervised, unsupervised, reinforcement learning |
| Topic 2: AI Lifecycle | 27% | - Predictive vs generative AI - AI governance, ethics, and compliance - Model training, inference, and optimization - Data preparation and management for AI - AI lifecycle stages: design, training, deployment, monitoring |
| Topic 3: NetApp AI Solutions and Architecture | 25% | - NetApp AI-ready infrastructure components - ONTAP integration with AI frameworks - Scalability and performance optimization for AI - Data management and data pipeline design - Storage architectures for AI workloads |
| Topic 4: Cloud and Hybrid Cloud AI Deployment | 18% | - Hybrid and multi-cloud AI architectures - Cloud-native AI solutions and integration - Data mobility and consistency across environments - NetApp cloud data services for AI |
| Topic 5: Security, Reliability, and Operations | 15% | - Monitoring, logging, and troubleshooting AI environments - Data security and access control for AI - Cost management and efficiency - High availability and data protection |
Network Appliance NetApp Certified AI Expert Sample Questions:
The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?
- A. A NetApp E-Series system serving a BeeGFS parallel file system.
- B. A NetApp StorageGRID system accessed via the S3 protocol.
- C. A NetApp ASA system serving a single, large NFS volume.
- D. A Cloud Volumes ONTAP instance with a standard file system.
Correct Answer: A 🗳️
A data scientist is using the NetApp DataOps Toolkit for Python to automate the creation of a new, writable volume for an experiment. The script is intended to clone an existing dataset volume. When the script is executed, it fails with an error.
The relevant portion of the Python script is:
from netapp_dataops.k8s import clone_pvc
clone_pvc(
source_pvc_name="dataset-v1-pvc",
new_pvc_name="experiment-clone-pvc",
namespace="ds-team-1"
)
The script produces the following error in the terminal:
'Error: Failed to clone PVC. Source PVC 'dataset-v1-pvc' not found in namespace 'ds-team-1'.' What is the most likely cause of this error?
- A. The NetApp DataOps Toolkit does not support cloning volumes.
- B. The Kubernetes cluster does not have NetApp Trident installed.
- C. The source PersistentVolumeClaim (PVC) named 'dataset-v1-pvc' does not exist or is in a different namespace.
- D. The Python script is missing the necessary import statement for the toolkit.
Correct Answer: C 🗳️
A network administrator, attempting to harden the security of the data center, modifies a firewall access control list (ACL). Immediately afterward, the "Advisor Assistant" application pods can no longer mount their required NFS volumes from the AFF A-Series. The MLOps team confirms the pods are stuck in a 'ContainerCreating' state with a 'MountVolume.SetUp failed... connection timed out' error. The administrator provides the new, active firewall rule:
RULE | ACTION | PROTOCOL | SOURCE_IP_RANGE | DEST_IP_RANGE | DEST_PORT --|--|-
|--||--51 | ALLOW | TCP | 10.20.5.0/24 | 10.20.10.0/24 | 2049
What is the most likely reason for the mount failures?
- A. The firewall rule is blocking the Portmapper/RPCbind service (TCP/UDP port 111), which is necessary for the initial NFS mount negotiation.
- B. The 'SOURCE_IP_RANGE' is incorrect and does not include the Kubernetes pod IP addresses.
- C. The firewall rule is blocking the NFSv4 protocol, which requires TCP port 2050.
- D. The firewall rule is blocking the NFS lock manager (NLM) protocol, which is required for file locking.
Correct Answer: A 🗳️
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. Upgrade the network connection between the two storage systems to 200GbE.
- 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. Install faster CPUs in the AI cluster's storage controllers.
- D. Use NetApp XCP to perform the data copy, as it is faster than a standard NFS copy.
Correct Answer: B 🗳️
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. 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. Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.
- F. Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.
Correct Answer: A,C,D,F 🗳️
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