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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Reliability, and Operations | 15% | - Cost management and efficiency - High availability and data protection - Monitoring, logging, and troubleshooting AI environments - Data security and access control for AI |
| Topic 2: NetApp AI Solutions and Architecture | 25% | - Storage architectures for AI workloads - Data management and data pipeline design - NetApp AI-ready infrastructure components - ONTAP integration with AI frameworks - Scalability and performance optimization for AI |
| Topic 3: Cloud and Hybrid Cloud AI Deployment | 18% | - Cloud-native AI solutions and integration - NetApp cloud data services for AI - Data mobility and consistency across environments - Hybrid and multi-cloud AI architectures |
| Topic 4: AI Lifecycle | 27% | - Model training, inference, and optimization - AI governance, ethics, and compliance - Data preparation and management for AI - Predictive vs generative AI - AI lifecycle stages: design, training, deployment, monitoring |
| Topic 5: AI Overview | 15% | - Algorithm types: supervised, unsupervised, reinforcement learning - Convergence of AI, high-performance computing, and analytics - AI industry use cases and applications - AI, machine learning, and deep learning concepts - AI deployment models: on-premises, cloud, edge |
>> Latest NS0-901 Questions <<
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NEW QUESTION # 17
Which AI technology is used to generate new, never-before-seen content such as images or text?
Answer: C
NEW QUESTION # 18
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?
Answer: A
NEW QUESTION # 19
A financial services company has deployed a real-time fraud detection model at the edge. The model is designed for low-latency inference. However, monitoring reports indicate that the infrastructure costs are excessively high, and GPU utilization is consistently low. The architect reviews the deployment configuration.
Instance_Type: NVIDIA DGX A100 (8 GPUs)
Storage_Tier: High-Performance All-Flash (NetApp ASA)
Network: 100GbE RoCE
GPU_Utilization_Avg: 5%
Monthly_Cost: $15,000
Workload_Profile: Low-volume, sporadic, real-time predictions
What is the most likely cause of the high costs and low utilization?
Answer: B
NEW QUESTION # 20
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?
Answer: C
NEW QUESTION # 21
A development team is building a generative AI application that must answer questions based on a constantly changing internal knowledge base of company documents. They want to provide the model with up-to-date information without altering its core weights and capabilities.
Which approach is most suitable for this requirement?
Answer: B
NEW QUESTION # 22
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