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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: NetApp AI Solutions and Architecture | 25% | - ONTAP integration with AI frameworks - NetApp AI-ready infrastructure components - Storage architectures for AI workloads - Data management and data pipeline design - Scalability and performance optimization for AI |
| Topic 2: AI Overview | 15% | - AI deployment models: on-premises, cloud, edge - AI industry use cases and applications - Convergence of AI, high-performance computing, and analytics - AI, machine learning, and deep learning concepts - Algorithm types: supervised, unsupervised, reinforcement learning |
| Topic 3: Cloud and Hybrid Cloud AI Deployment | 18% | - Data mobility and consistency across environments - Hybrid and multi-cloud AI architectures - Cloud-native AI solutions and integration - NetApp cloud data services for AI |
| Topic 4: AI Lifecycle | 27% | - AI governance, ethics, and compliance - Model training, inference, and optimization - AI lifecycle stages: design, training, deployment, monitoring - Predictive vs generative AI - Data preparation and management for AI |
| Topic 5: Security, Reliability, and Operations | 15% | - Monitoring, logging, and troubleshooting AI environments - Cost management and efficiency - Data security and access control for AI - High availability and data protection |
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NEW QUESTION # 103
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?
Answer: A
NEW QUESTION # 104
A data scientist needs to test a new data normalization technique. To do this, they require an isolated, writable copy of a 50 TB curated simulation dataset that resides on the NetApp ASA system. The operation must be completed as quickly as possible and consume minimal additional storage space. Which NetApp technology is the most appropriate solution for this requirement?
Answer: D
NEW QUESTION # 105
An organization recently suffered a ransomware attack that encrypted several volumes on their primary ONTAP storage system, including a critical volume containing curated training data. The security team needs to implement a solution that can proactively detect and block ransomware- like file I/O patterns and automatically create a secure Snapshot copy before any damage is done.
The current ONTAP configuration is as follows:
ONTAP_Version: 9.12.1
Security_Features: SnapLock (Compliance Mode) on archive volumes
Anti-Virus_Scan: Enabled (Vscan)
Ransomware_Detection: Not configured
Which ONTAP feature should be enabled to provide this proactive, automated protection?
Answer: C
NEW QUESTION # 106
An enterprise is planning a generative AI solution to power its internal support chatbot. The architect must choose between a RAG-based approach and fine-tuning a base model. The project stakeholders have provided a list of prioritized requirements.
| Requirement | Priority | Details
|
| | -- | |
| Factual Accuracy | Critical | Must use the latest product documentation, updated daily.
| | Brand Voice & Persona | High | Must respond in the company's specific, formal tone.
| | Development Cost | High | Limited budget for GPU compute hours for model training.
|
| Data Traceability | Critical | Must be able to cite the exact source document for each answer.
|
Which two recommendations should the architect make to best satisfy these requirements?
(Choose 2.)
Answer: B,D
NEW QUESTION # 107
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?
Answer: A
NEW QUESTION # 108
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