Due to the success of the "Advisor Assistant," the number of concurrent users is expected to double in the next quarter. The existing Kubernetes cluster is running at 80% of its GPU capacity during peak hours. The architect must propose a plan to scale the compute infrastructure to handle the increased load.
Which two strategies represent the most effective and scalable solutions? (Choose 2.)

• A.Horizontally scale the cluster by adding new GPU-equipped nodes.
• B.Manually deploy all new application replicas to a single, new, very large "super-node".
• C.Vertically scale the existing nodes by adding more RAM and CPU cores to each one.
• D.Replace all existing GPUs with the next-generation model to increase the performance of each node.
• E.Configure the Kubernetes Cluster Autoscaler to automatically add new nodes to the cluster from a predefined node pool when GPU demand exceeds current capacity.

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A research institute is designing an infrastructure to support its entire AI drug discovery pipeline.
The pipeline has two distinct workload requirements:
1. Training: A team of data scientists needs to train several large transformer models simultaneously using a 500 TB dataset of genomic sequences. This process requires maximum data throughput to keep the GPUs saturated.
2. Inference: Once trained, the models are deployed to an internal web portal where researchers submit individual protein sequences for analysis. These queries must return results with the lowest possible latency.
Which infrastructure design best satisfies both requirements? (Choose 2.)

• A.Use NetApp StorageGRID as the primary storage for both the training and low-latency inference workloads.
• B.Implement NetApp FlexCache on smaller nodes at the network edge to serve the inference requests.
• C.Configure QoS minimums on the training volumes to ensure they do not impact inference performance.
• D.Use a single, large Cloud Volumes ONTAP instance in a public cloud to handle both workloads to simplify management.
• E.Deploy a large NetApp ASA cluster with GPUDirect Storage enabled for the training environment.

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To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)

• A.NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
• B.A custom Python script that uses regular expressions to search file contents.
• C.NetApp SnapLock to make the source data immutable before scanning.
• D.A custom "PII" category within BlueXP classification to identify specific medical record number formats.
• E.A manual review process where technicians visually inspect each scan for PII.

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An AI training job is running slower than expected. The infrastructure team suspects a compute bottleneck. The job involves processing high-resolution images with a complex convolutional neural network (CNN). They review the logs from the training script.
Epoch 1/100 - 3600s - loss: 1.253 - acc: 0.54
...
CPU_Utilization_During_Epoch: 99% (all cores)
GPU_0_Utilization_During_Epoch: 8%
GPU_1_Utilization_During_Epoch: 7%
...
Epoch 2/100 - 3610s - loss: 1.102 - acc: 0.61
What is the most likely cause of the poor training performance?

• A.The network is saturated, preventing the GPUs from receiving data.
• B.The training script is CPU-bound, likely performing data augmentation or preprocessing on the CPU instead of offloading it to the GPUs.
• C.The model is too simple and does not effectively utilize the GPU's parallel processing capabilities.
• D.The storage system cannot deliver data fast enough to the compute node.

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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?

• A.Use BlueXP backup and recovery to back up the volumes to the cloud more frequently.
• B.Enable Multi-Admin Verification (MAV) on all volumes.
• C.Increase the frequency of scheduled Snapshots.
• D.Enable Autonomous Ransomware Protection (ARP).

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