Network Appliance NS0-901시험패스가능한인증공부자료 - NS0-901최고품질시험덤프자료

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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Lifecycle	27%	- AI governance, ethics, and compliance - Data preparation and management for AI - Model training, inference, and optimization - Predictive vs generative AI - AI lifecycle stages: design, training, deployment, monitoring
Topic 2: AI Overview	15%	- AI industry use cases and applications - AI, machine learning, and deep learning concepts - AI deployment models: on-premises, cloud, edge - Convergence of AI, high-performance computing, and analytics - Algorithm types: supervised, unsupervised, reinforcement learning
Topic 3: NetApp AI Solutions and Architecture	25%	- ONTAP integration with AI frameworks - Data management and data pipeline design - Scalability and performance optimization for AI - NetApp AI-ready infrastructure components - Storage architectures for AI workloads
Topic 4: Cloud and Hybrid Cloud AI Deployment	18%	- Cloud-native AI solutions and integration - Data mobility and consistency across environments - Hybrid and multi-cloud AI architectures - 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 - High availability and data protection - Cost management and efficiency

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최신 NetApp Certified AI Expert NS0-901 무료샘플문제 (Q11-Q16):

질문 # 11
The company's compliance officer mandates that all raw simulation data in the StorageGRID data lake must be protected from modification or deletion for a period of seven years. Which two StorageGRID features should be implemented to meet this strict, long-term data immutability requirement? (Choose 2.)

A. Configure an Information Lifecycle Management (ILM) rule that applies to the bucket and sets a retention period of seven years.
B. Use NetApp SnapMirror to replicate the data to a second StorageGRID system.
C. Encrypt all objects in the bucket using server-side encryption (SSE).
D. Create a new S3 bucket with Object Lock enabled in Compliance mode.
E. Enable Autonomous Ransomware Protection (ARP) on the StorageGRID system.

정답：A,D

질문 # 12
A team has deployed a Retrieval-Augmented Generation (RAG) system to answer customer queries. Recently, users have complained that the answers provided by the chatbot are outdated and do not reflect the latest product updates. An architect investigates and finds the following status log from the RAG pipeline's data ingestion monitor.
Timestamp: 2025-07-11T14:00:00Z
System: RAG Pipeline Monitor
Status: WARNING
Message: Vector DB freshness check failed.
Source data appears stale.
Vector_DB_Last_Update: 2025-06-10T08:00:00Z
Knowledge_Base_Last_Modified: 2025-07-11T13:15:00Z
Data_Sync_Service: BlueXP copy and sync
Sync_Job_Status: Succeeded
Based on the log, what is the most likely cause of the outdated answers?

A. The LLM needs to be fine-tuned with the new product information.
B. The process that converts staged documents into vectors and updates the vector database is not running.
C. The BlueXP copy and sync service is failing to copy data to the staging area.
D. The knowledge base itself has not been updated with the latest product information.

정답：B

질문 # 13
Which of the following platforms can be used to manage containerized AI workloads on Kubernetes? (Choose two)

A. RunAI
B. TensorFlow Extended
C. KubeFlow
D. Google VertexAI

정답：A,C

질문 # 14
The data scientists report that their Kubernetes-based data preparation jobs are failing. The pods are stuck in a 'Pending' state.
An MLOps engineer runs 'kubectl describe pvc data-prep-pvc-01' and sees the following event:
Type Reason Age From Message
- - - -
Warning ProvisioningFailed 2m15s trident-orchestrator-7b... failed to provision volume with StorageClass "bronze-tier": backend unavailable: no healthy backend with satisfying attributes for storage class "bronze-tier" The engineer checks the Trident backend configurations and finds no backend associated with the "bronze-tier" StorageClass.
What is the root cause of the failure?

A. The StorageGRID data lake is offline, preventing the creation of new volumes.
B. The data preparation pods do not have the correct security permissions.
C. The PersistentVolumeClaim is referencing a StorageClass that has no configured or healthy Trident backend to provision storage from.
D. The Kubernetes scheduler is unable to find a node with enough resources for the pods.

정답：C

질문 # 15
A data science team reports that their Jupyter notebook pod, which was previously working, is now failing to start. The pod's status is 'CrashLoopBackOff'. An MLOps engineer investigates and finds that the pod's PersistentVolumeClaim (PVC) is bound, but the pod logs show a "Permission denied" error when trying to write to its '/data' mount point.
The engineer checks the Trident backend configuration associated with the pod's StorageClass:
apiVersion: trident.netapp.io/v1
kind: TridentBackendConfig
metadata:
name: ontap-nas-eco
spec:
version: 1
storageDriverName: ontap-nas
managementLIF: 10.10.20.5
dataLIF: 10.10.20.10
svm: svm-prod-ds
exportPolicy: read-only-policy
What is the most likely cause of the "Permission denied" error?

A. The 'storageDriverName' should be 'ontap-san' for all AI workloads.
B. The Trident backend is configured to use an export policy ('read-only-policy') that does not grant write permissions to the Kubernetes nodes.
C. The Kubernetes pod has an invalid 'securityContext' that prevents it from writing to any volume.
D. The 'dataLIF' is configured incorrectly and is unreachable from the Kubernetes nodes.

정답：B

질문 # 16
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