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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Hardware Architectures | 18% | - Infrastructure Topologies
|
| Topic 2: AI Common Challenges | 22% | - Resource Management
|
| Topic 3: AI Overview | 15% | - AI Deployment Models
|
| Topic 4: AI Lifecycle | 27% | - Predictive AI vs. Generative AI
|
| Topic 5: AI Software Architectures | 18% | - Development Tools
|
Network Appliance NetApp Certified AI Expert Sample Questions:
Question #1
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 predictive AI model to classify legal documents.
B. A fine-tuning pipeline to update the LLM daily.
C. A Retrieval-Augmented Generation (RAG) architecture.
D. A new LLM trained from scratch on the legal documents.
Question #2
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 enable the use of lower-cost Ethernet switches in place of InfiniBand fabrics without any performance degradation.
B. They reduce the power consumption of the storage array by offloading checksum calculations.
C. 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.
D. They automatically encrypt data in-flight between the GPU servers and the storage system.
Question #3
An organization recently suffered a ransomware attack that encrypted several volumes on their primary ONTAP storage system, including a critical volume containing curated training data. The security team needs to implement a solution that can proactively detect and block ransomware- like file I/O patterns and automatically create a secure Snapshot copy before any damage is done.
The current ONTAP configuration is as follows:
ONTAP_Version: 9.12.1
Security_Features: SnapLock (Compliance Mode) on archive volumes
Anti-Virus_Scan: Enabled (Vscan)
Ransomware_Detection: Not configured
Which ONTAP feature should be enabled to provide this proactive, automated protection?
A. Increase the frequency of scheduled Snapshots.
B. Enable Multi-Admin Verification (MAV) on all volumes.
C. Use BlueXP backup and recovery to back up the volumes to the cloud more frequently.
D. Enable Autonomous Ransomware Protection (ARP).
Question #4
The pod running the vector database on the Kubernetes cluster fails to start. An MLOps engineer runs 'kubectl describe pod vector-db-pod-0' and sees the following event message:
Events:
Type Reason Age From Message
- - - -
Warning FailedScheduling 30s default-scheduler 0/8 nodes are available: 8 node(s) did not match pod anti-affinity rules.
The pod's manifest contains the following 'affinity' definition:
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
- labelSelector:
matchExpressions:
- key: app
operator: In
values:
- vector-db
topologyKey: "kubernetes.io/hostname"
What is the most likely reason the pod cannot be scheduled?
A. The pod's anti-affinity rule prevents it from being scheduled on any node that is already running another pod with the label 'app=vector-db'.
B. The 'vector-db-pod-0' is requesting more GPU resources than are available on any node.
C. The 'topologyKey' is invalid; it should be 'failure-domain.beta.kubernetes.io/zone'.
D. The PersistentVolumeClaim for the pod is in a 'Pending' state.
Question #5
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)
A. Use NetApp SnapMirror to create an asynchronous replication relationship for the AFF A-Series volume containing the vector database, with a schedule of 10 minutes.
B. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
C. Rely on tape backups to be shipped to the DR site in the event of a disaster.
D. Use the NetApp DataOps Toolkit to manually script the failover process.
E. Use NetApp FlexCache at the DR site to cache data from the primary site.
F. Use StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: C | Question #3 Correct Answer: D | Question #4 Correct Answer: A | Question #5 Correct Answer: A,B,F |


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