Network Appliance NetApp Certified AI Expert 認定 NS0-901 試験問題:

1. A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?

A) The action on detection is set only to "notify," which will not block the attack.
B) The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.
C) The learning mode is set to "normal," which may not detect zero-day attacks.
D) The volume is not part of any Snapshot schedule.

2. An AI platform is suffering from poor performance during distributed training jobs. The training data resides on a single, large NFS volume. Monitoring shows that while the overall network throughput to the storage system is high, individual GPU nodes experience significant I/O wait times, and the single ONTAP volume is becoming a performance bottleneck. The goal is to re- architect the storage layout to maximize read parallelism and throughput for the training cluster.
Which two actions should the architect take to address this performance bottleneck? (Choose 2.)

A) Enable QoS maximums on the training volume to limit its IOPS.
B) Increase the number of network ports connected to the storage controller.
C) Replace the NFS protocol with iSCSI for all training data access.
D) Use NetApp FlexCache to create a local cache of the training data on each compute node.
E) Implement a NetApp FlexGroup volume to spread the dataset across multiple constituent volumes and aggregates.

3. A financial services company has deployed a real-time fraud detection model at the edge. The model is designed for low-latency inference. However, monitoring reports indicate that the infrastructure costs are excessively high, and GPU utilization is consistently low. The architect reviews the deployment configuration.
Instance_Type: NVIDIA DGX A100 (8 GPUs)
Storage_Tier: High-Performance All-Flash (NetApp ASA)
Network: 100GbE RoCE
GPU_Utilization_Avg: 5%
Monthly_Cost: $15,000
Workload_Profile: Low-volume, sporadic, real-time predictions
What is the most likely cause of the high costs and low utilization?

A) The compute and storage infrastructure is sized for a large-scale training workload, not a lightweight inference workload.
B) The network latency is too high for an edge deployment.
C) The model was trained using supervised learning, which is inefficient for fraud detection.
D) The storage tier is too slow, causing the GPUs to wait for data.

4. An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)

A) NetApp StorageGRID as the primary storage for the training datasets.
B) A tiered storage architecture using NetApp FabricPool.
C) A 10GbE Ethernet network for all data traffic.
D) GPUDirect Storage support on the storage system.
E) An InfiniBand or RoCE-capable Ethernet network fabric.

5. 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?

A) Replace the disks in the existing storage nodes with higher-capacity drives.
B) Provision a new, separate StorageGRID system and use BlueXP copy and sync to move the data.
C) Add new storage nodes to the existing StorageGRID system and execute an expansion procedure.
D) Use FabricPool to tier the excess data from StorageGRID to a public cloud provider.

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