Network Appliance NetApp Certified AI Expert - NS0-901 FREE EXAM DUMPS QUESTIONS & ANSWERS]

Question 1

The firm's data science team needs to run a high-priority, interactive model analysis job that requires immediate access to two GPUs. However, all GPUs in the cluster are currently allocated to long-running, lower-priority batch training jobs.
The MLOps platform, Run:AI, shows the following queue status:
JOB_ID | PROJECT | STATUS | PRIORITY | GPU_ALLOCATED
||--|-|
batch_job_1 | team_a | Running | Low | 2
batch_job_2 | team_a | Running | Low | 2
batch_job_3 | team_b | Running | Low | 4
interactive_1| team_c | Pending | High | 2 (requested)
How does the Run:AI platform address this resource contention to allow the high-priority job to run?

A. It sends an email notification to the administrator to manually reallocate the GPUs. B. It keeps the high-priority job in a pending state until the low-priority jobs complete naturally. C. It automatically pauses one of the low-priority jobs, saves its state, and allocates its GPUs to the high- priority job, placing the paused job back in the queue. D. It automatically terminates all low-priority jobs to free up the entire cluster.

Discussion 0

Correct Answer: C Vote an answer

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

Discussion 0

Correct Answer: A,B,D,F Vote an answer

Question 3

The AI training jobs on the AIPod are performing below expectations. The NVIDIA DGX servers' GPUs show low utilization. A performance analysis reveals that the bottleneck is not the storage system itself, but the network path between the storage and the compute nodes.
The current network configuration is as follows:
Network_Fabric: 100GbE Standard Ethernet
Protocol: NFS over TCP/IP
Data_Path: Storage -> Host CPU -> GPU Memory
Which network architecture enhancement would provide the most significant performance improvement by reducing latency and CPU overhead?

A. Add more 100GbE network ports to the storage controllers. B. Implement RDMA over Converged Ethernet (RoCE) and configure GPUDirect Storage. C. Upgrade the network switches to a model with a larger packet buffer. D. Isolate the storage traffic on a separate VLAN from the management traffic.

Discussion 0

Correct Answer: B Vote an answer

Question 4

A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?

A. The PVC will fail because a 'storageClassName' is not explicitly defined. B. Trident will create a 1 Gi volume, as this is the default size for all PVCs. C. Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC. D. The PVC will remain in a "Pending" state until a PersistentVolume is manually created.

Discussion 0

Correct Answer: C Vote an answer

Question 5

An AI architect is designing a solution for a legal firm. The primary goal is to allow lawyers to ask natural language questions about case law stored in a private, 50 TB document repository.
The key project constraints are as follows:
Project_Goal: Answer questions using proprietary, real-time legal documents.
Constraint_1: Must not alter the foundational LLM's weights due to compliance.
Constraint_2: Case law database is updated daily with new rulings.
Constraint_3: All generated answers must be traceable to a source document.
Which technology should the architect choose as the core of this solution?

A. A Retrieval-Augmented Generation (RAG) architecture. B. A fine-tuning pipeline to update the LLM daily. C. A predictive AI model to classify legal documents. D. A new LLM trained from scratch on the legal documents.

Discussion 0

Correct Answer: A Vote an answer

Question 6

An organization wants to provide its data science team with a secure, on-demand method for using a powerful generative AI model with their private, sensitive corporate data. The solution must ensure that the private data is never exposed to the public internet or the public LLM API endpoint.
The architect is designing a solution using BlueXP.
Which two components are essential for building this secure solution? (Choose 2.)

A. The BlueXP GenAI Toolkit, which acts as a proxy to intercept user prompts and enrich them with data from a local vector database. B. A direct VPN connection from each data scientist's laptop to the public LLM provider. C. A private vector database hosted on an on-premises NetApp ONTAP system to store embeddings of the sensitive corporate data. D. A policy in BlueXP classification to copy all sensitive data to a public cloud bucket for easier access. E. A BlueXP Connector deployed in a public subnet with a public IP address to allow access to the LLM.

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Correct Answer: A,C Vote an answer

Question 7

What is the primary architectural benefit of using technologies like RDMA (Remote Direct Memory Access) and GPUDirect Storage in a high-performance AI training cluster?

A. They allow GPUs to communicate directly with each other and with NVMe storage, bypassing the host CPU and system memory, which significantly reduces I/O latency and CPU overhead. B. They automatically encrypt data in-flight between the GPU servers and the storage system. C. They enable the use of lower-cost Ethernet switches in place of InfiniBand fabrics without any performance degradation. D. They reduce the power consumption of the storage array by offloading checksum calculations.

Discussion 0

Correct Answer: A Vote an answer

Question 8

An architect is designing a scalable, automated MLOps platform using Kubeflow on a Kubernetes cluster. The platform must support the entire AI lifecycle for multiple teams, with different storage requirements at each stage.
The key requirements are:
- Data Ingestion: A pipeline step needs a shared, read-write volume accessible by multiple pods to stage raw data.
- Experimentation: Data scientists need individual, isolated volumes for their Jupyter notebooks.
- Training: Distributed training jobs require a high-performance, parallel-access filesystem for reading training data.
- Automation: All storage must be provisioned automatically via Kubeflow pipeline definitions without manual intervention.
Which combination of technologies and configurations would create the most effective solution?

A. Rely on hostPath volumes for all storage to ensure the highest performance. B. Configure multiple Trident backends (e.g., 'ontap-nas' for standard volumes, 'ontap-nas-flexgroup' for parallel access) and corresponding StorageClasses. C. Use the NetApp DataOps Toolkit for all storage provisioning, bypassing Trident and Kubernetes PVCs. D. Create a single, large NFS volume and mount it to all pods using a static PersistentVolume. E. Use the NetApp DataOps Toolkit for Python within the Kubeflow pipeline components to dynamically create and manage Trident PVCs for each stage.

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Correct Answer: B,E Vote an answer

Question 9

An organization is planning to deploy a large AI infrastructure but wants to avoid a large, upfront capital expenditure. They prefer an operational expenditure (OpEx) model where they pay for storage and compute resources as they are consumed. They also need the flexibility to scale resources up or down based on project demands.
Which NetApp consumption model is specifically designed to meet these financial and operational requirements?

A. A perpetual licensing model for all ONTAP software features. B. A standard capital purchase of AFF and ASA systems. C. NetApp Cloud Volumes ONTAP PAYGO licensing only. D. NetApp Keystone, which provides a subscription-based, pay-as-you-go service for on-premises and cloud storage.

Discussion 0

Correct Answer: D Vote an answer

Question 10

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

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

Discussion 0

Correct Answer: C Vote an answer