NS0-901 Reliable Cram Materials - NS0-901 Training Questions

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Network Appliance NS0-901 Exam Syllabus Topics:

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

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
The company's finance department mandates a cost-control strategy for the petabyte-scale StorageGRID data lake. The analysis shows that 80% of the simulation data is not accessed after
90 days but must be retained for five years for regulatory compliance. Which StorageGRID feature should the architect use to automatically reduce the long-term storage costs for this inactive data?

A. Configure an Information Lifecycle Management (ILM) policy that automatically moves objects older than 90 days to a lower-cost cloud archive tier, such as Amazon S3 Glacier Deep Archive.
B. Use NetApp SnapMirror to replicate the cold data to a different, lower-cost StorageGRID cluster.
C. Implement a FabricPool policy to tier the data to a NetApp ASA system.
D. Enable deduplication and compression on all StorageGRID storage nodes.

Answer: A

NEW QUESTION # 60
An AI training job is running slower than expected. The infrastructure team suspects a compute bottleneck. The job involves processing high-resolution images with a complex convolutional neural network (CNN). They review the logs from the training script.
Epoch 1/100 - 3600s - loss: 1.253 - acc: 0.54
...
CPU_Utilization_During_Epoch: 99% (all cores)
GPU_0_Utilization_During_Epoch: 8%
GPU_1_Utilization_During_Epoch: 7%
...
Epoch 2/100 - 3610s - loss: 1.102 - acc: 0.61
What is the most likely cause of the poor training performance?

A. The storage system cannot deliver data fast enough to the compute node.
B. The network is saturated, preventing the GPUs from receiving data.
C. The training script is CPU-bound, likely performing data augmentation or preprocessing on the CPU instead of offloading it to the GPUs.
D. The model is too simple and does not effectively utilize the GPU's parallel processing capabilities.

Answer: C

NEW QUESTION # 61
What is the primary role of NetApp Trident in a Kubernetes environment designed for AI workloads?

A. To act as a dynamic storage orchestrator, provisioning persistent storage from NetApp backends on- demand for containerized applications.
B. To directly accelerate GPU computations using specialized drivers.
C. To provide a web-based IDE, like Jupyter, for data scientists to develop models.
D. To function as a container runtime interface for executing AI models.

Answer: A

NEW QUESTION # 62
What is the primary difference between C-Series and A-Series storage for AI workloads?

A. C-Series supports both file and object-based storage, while A-Series is optimized for object storage.
B. C-Series is designed for high-performance workloads, while A-Series focuses on cost-efficiency for general storage.
C. A-Series provides GPU-based acceleration, while C-Series only supports CPU-based workloads.
D. A-Series is for smaller-scale AI workloads, while C-Series supports large-scale, high-performance AI applications.

Answer: B

NEW QUESTION # 63
A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?

A. The volume is not part of any Snapshot schedule.
B. The learning mode is set to "normal," which may not detect zero-day attacks.
C. The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.
D. The action on detection is set only to "notify," which will not block the attack.

Answer: C

NEW QUESTION # 64
......

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