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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. 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.

2. An organization is developing a new AI-powered application. The initial phase involves feeding a curated 50 TB dataset of labeled images into a complex neural network, allowing the model to learn and adjust its internal parameters over millions of iterations. The second phase involves deploying this finalized model to a web service where it will process single, user-uploaded images and return a classification in real-time.
Which statement accurately describes these two phases?

A) Both Phase 1 and Phase 2 are examples of inferencing.
B) Phase 1 is training, and Phase 2 is inferencing.
C) Phase 1 is inferencing, and Phase 2 is training.
D) Both Phase 1 and Phase 2 are examples of training.

3. The architect needs to design an efficient data flow to move curated training sets from the central StorageGRID data lake to the high-performance NetApp ASA system used by the AI cluster. The process must be manageable from a single interface and should be automatable. Which two NetApp technologies should be used to implement this data pipeline stage? (Choose 2.)

A) A manual copy process using an S3 client on a bastion host.
B) A custom Python script using the NetApp DataOps Toolkit to trigger the data movement.
C) NetApp BlueXP copy and sync service to create and manage the data synchronization relationship between the S3 source and the NFS/CIFS destination.
D) NetApp SnapMirror to replicate data from the StorageGRID object store to the ASA's file system.
E) NetApp FabricPool to automatically tier the data from StorageGRID to the ASA.

4. A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?

A) The PVC will remain in a "Pending" state until a PersistentVolume is manually created.
B) The PVC will fail because a 'storageClassName' is not explicitly defined.
C) Trident will create a 1 Gi volume, as this is the default size for all PVCs.
D) Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.

5. An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process. Which of the following are the four essential requirements for model generation?

A) A data lake, a data warehouse, a data pipeline, and a data mart.
B) Data, code, compute, and time.
C) A pre-trained model, a validation set, an inference engine, and a cloud provider.
D) A project manager, a data scientist, a software engineer, and a budget.

Solutions: