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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Overview	15%	- Algorithm types: supervised, unsupervised, reinforcement learning - Convergence of AI, high-performance computing, and analytics - AI deployment models: on-premises, cloud, edge - AI, machine learning, and deep learning concepts - AI industry use cases and applications
Topic 2: AI Lifecycle	27%	- Data preparation and management for AI - Predictive vs generative AI - AI lifecycle stages: design, training, deployment, monitoring - Model training, inference, and optimization - AI governance, ethics, and compliance
Topic 3: Cloud and Hybrid Cloud AI Deployment	18%	- NetApp cloud data services for AI - Data mobility and consistency across environments - Cloud-native AI solutions and integration - Hybrid and multi-cloud AI architectures
Topic 4: Security, Reliability, and Operations	15%	- Cost management and efficiency - Monitoring, logging, and troubleshooting AI environments - High availability and data protection - Data security and access control for AI
Topic 5: NetApp AI Solutions and Architecture	25%	- Data management and data pipeline design - ONTAP integration with AI frameworks - Scalability and performance optimization for AI - Storage architectures for AI workloads - NetApp AI-ready infrastructure components

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
Which AI technology is used to generate new, never-before-seen content such as images or text?

A. Supervised AI
B. Reinforcement AI
C. Predictive AI
D. Generative AI

Answer: D

NEW QUESTION # 71
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. Reinforcement learning
B. Unsupervised learning
C. Generative learning
D. Supervised learning

Answer: A

NEW QUESTION # 72
Which of the following are typical requirements for inferencing in AI models? (Choose two)

A. Pre-trained models
B. Extensive training data
C. Loading the model into memory
D. Cloud-based inference only

Answer: A,C

NEW QUESTION # 73
A distributed training job running on the AIPod fails to start. The MLOps engineer inspects the events for one of the pending training pods and sees the following message:
Events:
Type Reason Age From Message
- - - -
Warning FailedScheduling 5m12s default-scheduler 0/4 nodes are available: 4 node(s) had no available volume zone.
The PersistentVolumeClaim (PVC) for this pod specifies a StorageClass that uses the 'ontap-nas' Trident provisioner.
he Trident logs show no errors.
What is the most likely cause of this scheduling failure?

A. The training pod's container image does not exist in the registry.
B. The Kubernetes nodes do not have the necessary NFS client utilities installed.
C. The 'requiredTopology' in the StorageClass is misconfigured, preventing Trident from finding a valid ONTAP backend in the same zone as the available compute nodes.
D. The NetApp ASA storage system is offline.

Answer: C

NEW QUESTION # 74
An AI architect needs to design a complete, end-to-end data pipeline for a new generative AI application at a financial services firm. The application will allow internal analysts to query a massive, 500 TB archive of historical market data and reports to generate summaries. The firm has the following environment and requirements:
Data_Sources: A mix of on-premises ONTAP filers and StorageGRID S3 buckets.
Requirement_1: All queries must be answered using only the private data archive.
Requirement_2: All generated summaries must provide citations to the source reports.
Requirement_3: All data containing client PII must be identified and excluded from the LLM context.
Requirement_4: The solution must be cost-effective for the large, mostly-read data archive.
Which set of actions and technologies constitutes the most robust and compliant solution?
(Select all that apply.)

A. Use SnapMirror to replicate the StorageGRID data lake to a high-performance NetApp ASA system for faster query performance.
B. Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.
C. During the RAG retrieval step, filter out any documents tagged as containing PII by BlueXP classification before sending them to the LLM.
D. Use NetApp XCP to perform a one-time migration of all data from the ONTAP filers to the StorageGRID data lake.
E. Implement a Retrieval-Augmented Generation (RAG) architecture to meet the requirements for private data usage and source citation.
F. Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.

Answer: C,D,E,F

NEW QUESTION # 75
......

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