NS0-901 Exam Materials - Pdf NS0-901 Dumps

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Network Appliance NS0-901 Exam Syllabus Topics:

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

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q65-Q70):

NEW QUESTION # 65
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?

A. The model was trained using supervised learning, which is inefficient for fraud detection.
B. The storage tier is too slow, causing the GPUs to wait for data.
C. The compute and storage infrastructure is sized for a large-scale training workload, not a lightweight inference workload.
D. The network latency is too high for an edge deployment.

Answer: C

NEW QUESTION # 66
The data anonymization job, running in a Kubernetes pod, fails. The pod logs show a "Permission Denied" error when trying to access the source volume on the on-premises ASA. An administrator checks the export policy rule for the volume.
The active rule is as follows:
Rule_Index: 1
Client_Match: 10.50.0.0/16
Protocols: nfs4
Read_Only_Access: sys
Read_Write_Access: -
Superuser_Access: none
The Kubernetes pod that failed has an IP address of '10.60.5.10'.
What is the cause of the "Permission Denied" error?

A. The export policy only allows access via the NFSv4 protocol.
B. The export policy does not grant read-write access, which is required by the anonymization job.
C. The 'Superuser_Access' setting is too restrictive.
D. The pod's IP address ('10.60.5.10') is not within the allowed client match range ('10.50.0.0/16').

Answer: D

NEW QUESTION # 67
A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times.
The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions. Which type of machine learning algorithm is being used in this scenario?

A. Supervised learning
B. Generative learning
C. Unsupervised learning
D. Reinforcement learning

Answer: D

NEW QUESTION # 68
A new team of external auditors requires read-only access to the raw financial product documentation stored in the StorageGRID data lake. The data is in a bucket named 'prod-docs'.
The security team must ensure the auditors can list and read objects but cannot write, delete, or modify any data. Which is the most appropriate method to grant this specific access?

A. Create a new StorageGRID tenant account for the auditors with full S3 access.
B. Configure an NFS export policy on the 'prod-docs' bucket and provide the auditors with the mount path.
C. Provide the auditors with the root access keys for the StorageGRID system.
D. Create a new group and user within StorageGRID, and attach an S3 group policy that explicitly allows only 's3:GetObject' and 's3:ListBucket' actions on the 'prod-docs' bucket.

Answer: D

NEW QUESTION # 69
An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)

A. A 10GbE Ethernet network for all data traffic.
B. NetApp StorageGRID as the primary storage for the training datasets.
C. GPUDirect Storage support on the storage system.
D. An InfiniBand or RoCE-capable Ethernet network fabric.
E. A tiered storage architecture using NetApp FabricPool.

Answer: C,D

NEW QUESTION # 70
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