Network Appliance NS0-901

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三つのバージョン

我々会社のNetApp Certified AI Expert Exam試験勉強資料はお客様に3種類のバージョンを提供します。第一種はPDF版で、お客様は印刷してから、紙質の形式で勉強し、メモをできます。第二種はNetApp Certified AI Expert Exam ソフト版で、第一時間に真実の試験解答環境と流れを感じさせることができます。第三種はオンライン版で、お客様はスマートとIPADなどの電子設備の上に使用されます。我々社のNetApp Certified AI Expert Examオンライン版はオフライン使用をサポートします。

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

1. The architect is designing the complete, automated data pipeline from the on-premises data center to the Azure cloud for this medical imaging project. The design must prioritize security, efficiency, and reproducibility.
Which sequence of actions provides the most robust and automated solution?

A) Manually copy raw data to Azure, run a cloud-based script to anonymize it, then start training.
B) Use SnapMirror to replicate the raw, sensitive data to Azure first, then run BlueXP classification in the cloud to find PII.
C) Use BlueXP classification to scan the on-prem data; use a DataOps Toolkit script to trigger a FlexClone of the source volume for anonymization; use SnapMirror to replicate the anonymized clone to Cloud Volumes ONTAP; then begin training in Azure.
D) Use FabricPool to automatically tier all raw data to Azure Blob storage, then mount the blob container to the training VMs.

2. A company is running its AI training workloads on a NetApp AFF A-Series system. To manage costs, they want to automatically move inactive training datasets and older model checkpoints from the high- performance all-flash tier to a lower-cost object storage tier, such as an on- premises StorageGRID or a public cloud bucket. The process must be transparent to the data scientists and not require changes to their scripts or file paths.
Which two NetApp technologies should be combined to achieve this goal? (Choose 2.)

A) NetApp XCP
B) NetApp FlexCache
C) NetApp FabricPool
D) NetApp SnapMirror
E) NetApp StorageGRID

3. 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 Azure service principal associated with the BlueXP Connector lacks the necessary IAM role to create resource groups.
D) The GenAI toolkit requires a specific license that has not been added to the BlueXP digital wallet.

4. An architect is explaining different data storage paradigms to a new data engineering team. The team needs to understand where to store different types of data for their AI projects. Which statement accurately describes a key difference between a data lake and a data warehouse?

A) A data lake stores structured, processed data for fast querying, while a data warehouse stores raw, unstructured data in its native format.
B) A data lake is only for on-premises deployments, while a data warehouse is only for cloud deployments.
C) A data lake uses a schema-on-write approach, while a data warehouse uses a schema-on-read approach.
D) A data lake is designed to store vast quantities of raw, multi-format data (structured, semi- structured, and unstructured), while a data warehouse is typically used for storing structured and filtered data that has already been processed for a specific purpose.

5. A data science team works primarily at a central data center but needs to run a short-term, burst- compute training job in the public cloud to take advantage of specialized GPUs that are not available on- premises. They need to efficiently and securely move a 20 TB dataset from their on- premises ONTAP cluster to a Cloud Volumes ONTAP instance for the duration of the job.
The data flow requirement is as follows:
Source: On-premises ONTAP cluster
Destination: Cloud Volumes ONTAP in AWS
Requirement: Efficient, secure, block-level data transfer.
Which NetApp technology is the most appropriate tool for this task?

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

質問と回答：