Network Appliance NetApp Certified AI Expert NS0-901

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Network Appliance NetApp Certified AI Expert NS0-901 Prüfungsfragen mit Lösungen:

1. To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)

A) NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
B) A custom Python script that uses regular expressions to search file contents.
C) A manual review process where technicians visually inspect each scan for PII.
D) NetApp SnapLock to make the source data immutable before scanning.
E) A custom "PII" category within BlueXP classification to identify specific medical record number formats.

2. The company's compliance officer mandates that all raw simulation data in the StorageGRID data lake must be protected from modification or deletion for a period of seven years. Which two StorageGRID features should be implemented to meet this strict, long-term data immutability requirement? (Choose 2.)

A) Encrypt all objects in the bucket using server-side encryption (SSE).
B) Configure an Information Lifecycle Management (ILM) rule that applies to the bucket and sets a retention period of seven years.
C) Use NetApp SnapMirror to replicate the data to a second StorageGRID system.
D) Create a new S3 bucket with Object Lock enabled in Compliance mode.
E) Enable Autonomous Ransomware Protection (ARP) on the StorageGRID system.

3. A data scientist on the team wants to run an experiment on a new vector indexing strategy. To do this, they need a temporary, writable copy of the main vector database. They use the NetApp DataOps Toolkit for Python to automate this process.
The following script is executed:
from netapp_dataops.k8s import clone_pvc
clone_pvc(
source_pvc_name="prod-vector-db-pvc",
new_pvc_name="exp-indexing-clone",
namespace="ds-prod"
)
Assuming the source PVC exists and the user has correct permissions, what is the primary benefit of using this method?

A) It uses NetApp FlexClone technology to create a near-instantaneous, space-efficient writable copy of the volume, accelerating the experimental workflow.
B) It creates a full physical copy of the data, providing the best performance isolation.
C) It creates a read-only Snapshot, ensuring the integrity of the experimental data.
D) It automatically migrates the data from the AFF A-Series to the StorageGRID system for the experiment.

4. 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) Use SnapMirror to replicate the raw, sensitive data to Azure first, then run BlueXP classification in the cloud to find PII.
B) 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.
C) Use FabricPool to automatically tier all raw data to Azure Blob storage, then mount the blob container to the training VMs.
D) Manually copy raw data to Azure, run a cloud-based script to anonymize it, then start training.

5. A pharmaceutical company is creating a "digital twin" of its manufacturing process. This involves running complex simulations (an HPC workload) that generate massive datasets.
The company wants to use this data immediately for two other purposes:
1. Analytics: Business analysts need to run complex queries on the simulation output using tools like Spark.
2. AI Training: Data scientists need to use the same output as a training set for a predictive maintenance model.
The company wants to avoid creating separate data silos for each workload.
Which two NetApp technologies are best suited for building a unified data lake that can efficiently serve all three workloads (HPC, Analytics, AI)? (Choose 2.)

A) NetApp StorageGRID to provide a scalable, S3-native object store that integrates directly with modern analytics platforms like Spark.
B) NetApp Keystone to provide a flexible, pay-as-you-go consumption model for the infrastructure.
C) NetApp SnapCenter to create application-consistent backups of the data.
D) NetApp Autonomous Ransomware Protection to secure the data from modification.
E) NetApp ONTAP with FlexGroup volumes to provide high-throughput, parallel NFS access for the HPC and AI training workloads.

Fragen und Antworten: