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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. Which AI technology is used to generate new, never-before-seen content such as images or text?

A) Predictive AI
B) Generative AI
C) Supervised AI
D) Reinforcement AI

2. 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?

A) NetApp FabricPool
B) NetApp FlexClone
C) NetApp XCP
D) NetApp SnapMirror

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

4. Which storage protocols are commonly used for handling large-scale AI data? (Choose two)

A) POSIX-based file systems
B) File-based systems
C) Parallel file systems
D) Object-based storage

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

Solutions: