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| Section | Weight | Objectives |
|---|---|---|
| AI Overview | 15% | - 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 - Convergence of AI, high-performance computing, and analytics |
| AI Lifecycle | 27% | - AI lifecycle stages: design, training, deployment, monitoring - AI governance, ethics, and compliance - Model training, inference, and optimization - Data preparation and management for AI - Predictive vs generative AI |
| Security, Reliability, and Operations | 15% | - Data security and access control for AI - Monitoring, logging, and troubleshooting AI environments - Cost management and efficiency - High availability and data protection |
| NetApp AI Solutions and Architecture | 25% | - NetApp AI-ready infrastructure components - Scalability and performance optimization for AI - Data management and data pipeline design - Storage architectures for AI workloads - ONTAP integration with AI frameworks |
| Cloud and Hybrid Cloud AI Deployment | 18% | - NetApp cloud data services for AI - Data mobility and consistency across environments - Hybrid and multi-cloud AI architectures - Cloud-native AI solutions and integration |
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NEW QUESTION # 59
The architect is designing the complete, automated data pipeline from the on-premises data center to the Azure cloud for this medical imaging project. The design must prioritize security, efficiency, and reproducibility.
Which sequence of actions provides the most robust and automated solution?
Answer: D
NEW QUESTION # 60
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)
Answer: A,C,D
NEW QUESTION # 61
An organization is developing a new AI-powered application. The initial phase involves feeding a curated 50 TB dataset of labeled images into a complex neural network, allowing the model to learn and adjust its internal parameters over millions of iterations. The second phase involves deploying this finalized model to a web service where it will process single, user-uploaded images and return a classification in real-time.
Which statement accurately describes these two phases?
Answer: B
NEW QUESTION # 62
An AI operations team is troubleshooting why their RAG-based chatbot is providing outdated information. They have confirmed that the vector database embedding process is functioning correctly, but suspect an issue with the initial data synchronization that moves the knowledge base from an on- premises ONTAP file share to a cloud staging bucket.
They inspect the relevant BlueXP copy and sync job and find the following details:
Service: BlueXP copy and sync
Relationship_Name: KB_Sync_to_Vector_Staging
Source: nfs://ontap-cluster-1/vol_kb/docs
Destination: s3://vector-staging-bucket-89a3/latest/
Last_Sync_Status: FAILED
Last_Sync_Time: 2025-07-11T02:00:15Z
Error_Message: "Authentication error:
Unable to access source.
Check export policy on 'vol_kb'."
Based on this information, what is the most direct solution to fix the data pipeline?
Answer: B
NEW QUESTION # 63
A healthcare organization plans to use a large dataset of patient records to train a predictive model. Before training, they must identify and segregate all records containing Personally Identifiable Information (PII) to comply with privacy regulations. The data resides on an on- premises NetApp ONTAP cluster. The organization needs an automated tool to scan the data in- place and tag files containing PII without moving the data.
The project requirements are as follows:
Task: Identify PII in a large dataset.
Data_Location: On-premises ONTAP cluster.
Constraint: Data must not be moved from its source location for scanning.
Output: Tagged files containing PII.
Which NetApp tool is designed for this specific task?
Answer: C
NEW QUESTION # 64
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