NS0-901 Cert Exam, NS0-901 Practice Exams Free

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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Objectives
AI and Machine Learning Fundamentals	- Algorithm types 1. Unsupervised learning 2. Reinforcement learning 3. Supervised learning - AI, ML, DL concepts 1. Training, inference, and prediction workflows 2. Differences between AI, machine learning, and deep learning
Industry Use Cases	- AI applications across industries 1. Healthcare AI 2. Digital twins 3. Autonomous systems and agents
AI Infrastructure and NetApp Solutions	- AI-ready data infrastructure 1. High-performance storage for AI workloads 2. Data pipeline optimization for AI/ML workloads - Converged workloads 1. Shared infrastructure design considerations 2. AI, HPC, and analytics convergence
AI Lifecycle and Deployment	- Operational challenges 1. Scalability and performance optimization 2. Data governance and management - End-to-end AI lifecycle 1. Model deployment and monitoring 2. Data ingestion and preparation 3. Model training and validation

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
An AI infrastructure team is selecting a storage protocol for a new, high-performance computing (HPC) cluster that will be used for a weather modeling AI application. The application requires extremely high-throughput, parallel access from hundreds of compute nodes to a shared dataset.
The workload characteristics are as follows:
Access_Pattern: Massively parallel reads from many clients.
File_Type: Large, shared data files.
Latency_Sensitivity: High (for metadata operations).
Primary_Requirement: Maximum aggregate throughput.
Which storage protocol is best suited for this workload?

A. An object-based storage system using S3.
B. A standard file-based system using NFS.
C. A block-based protocol using iSCSI.
D. A parallel file system like BeeGFS or Lustre.

Answer: D

NEW QUESTION # 36
Which of the following platforms provides tools for model training and deployment specifically for AI workloads?

A. Google VertexAI
B. Domino Data Labs
C. RunAI
D. All of the above

Answer: D

NEW QUESTION # 37
The firm has acquired a competitor, and the volume of proprietary documents for the "Advisor Assistant" is expected to triple, exceeding the capacity of the current StorageGRID data lake. The architect needs to expand the data lake's capacity non-disruptively.
The current StorageGRID status is:
System_Health: Nominal
Node_Count: 6 (3 Storage Nodes, 3 Admin/Gateway Nodes)
Usable_Capacity: 1.5 PB
Used_Capacity: 1.4 PB (93%)
What is the standard procedure for scaling the capacity of the on-premises NetApp StorageGRID system?

A. Add new storage nodes to the existing StorageGRID system and execute an expansion procedure.
B. Provision a new, separate StorageGRID system and use BlueXP copy and sync to move the data.
C. Replace the disks in the existing storage nodes with higher-capacity drives.
D. Use FabricPool to tier the excess data from StorageGRID to a public cloud provider.

Answer: A

NEW QUESTION # 38
An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process. Which of the following are the four essential requirements for model generation?

A. A pre-trained model, a validation set, an inference engine, and a cloud provider.
B. A data lake, a data warehouse, a data pipeline, and a data mart.
C. A project manager, a data scientist, a software engineer, and a budget.
D. Data, code, compute, and time.

Answer: D

NEW QUESTION # 39
The firm's CFO is concerned about the rising costs of the on-premises AI infrastructure. A storage utilization report shows that of the 200 TB of data on the high-performance AFF A-Series, 150 TB consists of inactive, older versions of product documents that are rarely accessed but must be kept online for regulatory reasons.
The current storage landscape is:
- Performance Tier: NetApp AFF A-Series (200 TB used)
- Capacity Tier: NetApp StorageGRID (1.5 PB used)
What is the most effective and automated solution to reduce the storage cost of the performance tier without impacting data accessibility?

A. Implement NetApp FabricPool to automatically tier the inactive data blocks from the AFF A-Series to the StorageGRID system.
B. Use NetApp SnapMirror to replicate the entire 200 TB volume to the StorageGRID system and then delete the source.
C. Manually identify and delete the 150 TB of inactive data from the AFF A-Series.
D. Purchase an additional, larger AFF A-Series system to gain better storage efficiency through deduplication.

Answer: A

NEW QUESTION # 40
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