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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

Question 1

What is the primary role of NetApp Trident in a Kubernetes environment designed for AI workloads?

A. To function as a container runtime interface for executing AI models.
B. To act as a dynamic storage orchestrator, provisioning persistent storage from NetApp backends on- demand for containerized applications.
C. To provide a web-based IDE, like Jupyter, for data scientists to develop models.
D. To directly accelerate GPU computations using specialized drivers.

Question 2

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 NetApp StorageGRID on-premises to serve as a cost-effective capacity tier for the cold data.
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. Deploy a single, large Cloud Volumes ONTAP instance to hold both the hot and cold data tiers.
D. Use NetApp FabricPool to automatically and transparently tier cold data blocks from the AFF A- Series to the StorageGRID system.
E. Use NetApp XCP to manually script the daily movement of cold files from the AFF system to StorageGRID.
F. Deploy a NetApp AFF A-Series system on-premises to serve as the high-performance tier for the hot data.

Question 3

Which of the following describes the impact of generative AI in content creation?

A. Generative AI predicts customer preferences without creating new content.
B. Generative AI analyzes data without generating content.
C. Generative AI only processes pre-existing content.
D. Generative AI can create new content such as text, images, and videos.

Question 4

An AI platform administrator is trying to deploy a new GenAI toolkit using the BlueXP Workload Factory. The deployment fails, and the administrator examines the API response from BlueXP.
{
"jobId": "we-deploy-genai-987zy",
"status": "FAILED",
"statusCode": 403,
"message":
"Forbidden: The service principal or user account used by the Connector does not have the required permissions on the target subscription to create a new resource group.
Required permission: 'Microsoft.Resources/subscriptions/resourcegroups/write'." } Based on this API response, what is the root cause of the deployment failure?

A. The BlueXP Connector is offline and cannot communicate with the cloud provider.
B. The selected ONTAP version does not support the GenAI toolkit.
C. The GenAI toolkit requires a specific license that has not been added to the BlueXP digital wallet.
D. The Azure service principal associated with the BlueXP Connector lacks the necessary IAM role to create resource groups.

Question 5

What is the primary architectural advantage of using a NetApp AIPod with NVIDIA DGX servers for the AI training cluster, as described in the scenario?

A. It prioritizes CPU performance over GPU performance for traditional machine learning algorithms.
B. It exclusively uses object storage, which simplifies access for data scientists using S3-native tools.
C. It is designed for small-scale, departmental AI projects and cannot be scaled.
D. It is a reference architecture that is pre-validated by NetApp and NVIDIA to eliminate design complexity and ensure predictable performance for AI workloads.

Solutions: