An AI research team is experiencing slow model training times. Their performance monitoring indicates that the GPUs are frequently idle, waiting for data. They want to implement a single technology change to create a more direct data path between their storage and GPUs.
Their current setup is as follows:
Compute: Server with NVIDIA A100 GPUs
Storage: NetApp AFF A-Series (All-Flash)
Network: 100GbE Ethernet
Data_Path: Storage -> Host CPU/Memory -> GPU Memory
Which technology should the architect recommend to specifically address this data path inefficiency?

• A.A faster CPU in the server
• B.GPUDirect Storage
• C.NetApp FabricPool
• D.NetApp SnapMirror

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A national research laboratory is investing in a turnkey AI infrastructure solution. Their primary goal is to eliminate the complexity and risk of designing and integrating the compute, network, and storage components themselves. The solution must be pre-validated by the vendors to deliver predictable, linear performance as they scale from one to multiple compute nodes. Which two options represent this type of pre-validated, converged infrastructure solution for AI? (Choose two)

• A.A Cisco and NetApp FlexPod for AI solution.
• B.NetApp AIPod, which integrates NVIDIA DGX servers with NetApp storage and networking.
• C.A custom-built server rack with components sourced from various different vendors.
• D.A single NetApp FAS system connected directly to a single server.
• E.A public cloud provider's general-purpose virtual machine instances.

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An architect is designing a cost-optimized storage solution for a large AI environment that has two distinct data temperature profiles:
1. Hot Data (200 TB): Actively used training sets and models requiring all-flash performance.
2. Cold Data (2 PB): Inactive, archived datasets and old model versions that must remain online but are infrequently accessed.
The solution must automatically manage data placement based on activity, without requiring manual intervention or changes to file paths. The environment consists of an on-premises data center and a public cloud account.
Which combination of NetApp technologies provides the most complete and cost-effective solution? (Select all that apply.)

• A.Use NetApp XCP to manually script the daily movement of cold files from the AFF system to StorageGRID.
• B.Deploy NetApp StorageGRID on-premises to serve as a cost-effective capacity tier for the cold data.
• C.Deploy a single, large Cloud Volumes ONTAP instance to hold both the hot and cold data tiers.
• D.Deploy a NetApp AFF A-Series system on-premises to serve as the high-performance tier for the hot data.
• E.Use NetApp FabricPool to automatically and transparently tier cold data blocks from the AFF A- Series to the StorageGRID system.
• F.Use NetApp SnapMirror to create a full copy of the 2 PB of cold data on the AFF A-Series for faster access if needed.

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An AI infrastructure architect is tasked with designing a solution to address two critical challenges in a large, multi-petabyte AI environment:
1. Cost: A significant portion of the data on the high-performance all-flash storage is inactive but must remain online. The cost of storing this cold data on the performance tier is prohibitive.
2. Traceability: Data scientists need a simple, space-efficient way to version their datasets at key points in their workflow to ensure reproducibility.
The environment consists of NetApp AFF A-Series and NetApp StorageGRID systems.
Which combination of NetApp technologies should the architect implement to solve both challenges simultaneously? (Select all that apply.)

• A.Implement NetApp FabricPool to automatically tier cold data blocks from the AFF systems to StorageGRID.
• B.Use BlueXP backup and recovery to create backups on StorageGRID, then delete the original volumes from the AFF systems.
• C.Implement NetApp FlexClone to create full, writable copies of datasets for each experiment.
• D.Use NetApp SnapMirror to replicate volumes from the AFF systems to StorageGRID for archival.
• E.Train data scientists to use NetApp Snapshots to create point-in-time, read-only versions of their data volumes.
• F.Use NetApp XCP to periodically move cold data from the AFF systems to StorageGRID.

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To comply with the security mandate, the architect must design a process to prevent client PII from the portfolio database from ever being included in the context sent to the LLM. Which two actions are required to build a robust and automated solution for this? (Choose 2.)

• A.Move the entire client portfolio database to an encrypted, air-gapped system.
• B.Fine-tune the LLM on a sanitized dataset to teach it to ignore PII.
• C.Rely on a disclaimer in the chatbot UI telling advisors not to enter queries related to specific clients.
• D.Use BlueXP classification to perform an initial scan of the portfolio database to identify and tag all columns containing PII.
• E.Implement a data preparation step in the RAG pipeline that programmatically masks or excludes any data fields tagged as PII before the context is constructed.

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