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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

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

2. A healthcare organization plans to use a large dataset of patient records to train a predictive model. Before training, they must identify and segregate all records containing Personally Identifiable Information (PII) to comply with privacy regulations. The data resides on an on- premises NetApp ONTAP cluster. The organization needs an automated tool to scan the data in- place and tag files containing PII without moving the data.
The project requirements are as follows:
Task: Identify PII in a large dataset.
Data_Location: On-premises ONTAP cluster.
Constraint: Data must not be moved from its source location for scanning.
Output: Tagged files containing PII.
Which NetApp tool is designed for this specific task?

A) NetApp SnapMirror
B) NetApp BlueXP classification
C) NetApp FlexCache
D) NetApp XCP

3. A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times.
The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions. Which type of machine learning algorithm is being used in this scenario?

A) Supervised learning
B) Unsupervised learning
C) Reinforcement learning
D) Generative learning

4. 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) Deploy a single, large Cloud Volumes ONTAP instance to hold both the hot and cold data tiers.
B) 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.
C) Use NetApp XCP to manually script the daily movement of cold files from the AFF system to StorageGRID.
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) Deploy NetApp StorageGRID on-premises to serve as a cost-effective capacity tier for the cold data.

5. Which of the following platforms can be used to manage containerized AI workloads on Kubernetes? (Choose two)

A) RunAI
B) KubeFlow
C) TensorFlow Extended
D) Google VertexAI

Solutions: