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Network Appliance NS0-901 Exam Overview:

Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

Question 1

Advisors report that some queries to the chatbot are unacceptably slow, taking several seconds to respond. The MLOps team isolates the issue to the RAG retrieval step. Performance monitoring of the NetApp AFF A-Series hosting the vector database shows the following metrics during periods of high query load.
avg_read_latency: 3500 microseconds (3.5 ms)
avg_write_latency: 400 microseconds (0.4 ms)
iops_total: 15,000
cpu_utilization_storage_node: 15%
workload_profile: 95% small, random reads
Given these metrics, what is the most likely performance bottleneck?

A. The AFF A-Series system is underpowered and cannot handle the IOPS load.
B. The storage node CPU is the bottleneck, preventing faster data processing.
C. The network between the application and the storage system is saturated.
D. The vector database is poorly indexed, causing inefficient, slow lookups that translate to high read latency on the storage.

Question 2

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 SnapLock to make the source data immutable before scanning.
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. A custom "PII" category within BlueXP classification to identify specific medical record number formats.
E. NetApp BlueXP classification, configured to scan the on-premises ASA working environment.

Question 3

The firm has acquired a competitor, and the volume of proprietary documents for the "Advisor Assistant" is expected to triple, exceeding the capacity of the current StorageGRID data lake. The architect needs to expand the data lake's capacity non-disruptively.
The current StorageGRID status is:
System_Health: Nominal
Node_Count: 6 (3 Storage Nodes, 3 Admin/Gateway Nodes)
Usable_Capacity: 1.5 PB
Used_Capacity: 1.4 PB (93%)
What is the standard procedure for scaling the capacity of the on-premises NetApp StorageGRID system?

A. Replace the disks in the existing storage nodes with higher-capacity drives.
B. Use FabricPool to tier the excess data from StorageGRID to a public cloud provider.
C. Add new storage nodes to the existing StorageGRID system and execute an expansion procedure.
D. Provision a new, separate StorageGRID system and use BlueXP copy and sync to move the data.

Question 4

What is the primary reason for implementing a hybrid cloud architecture in this medical imaging scenario?

A. To reduce the overall cost of storage by keeping all data in the public cloud.
B. To simplify network management by using a single, global virtual network spanning the on- premises and cloud environments.
C. To exclusively use cloud-native AI services, eliminating the need for any on-premises hardware.
D. To leverage the powerful, elastic GPU compute resources available in the public cloud for model training while keeping sensitive source data on-premises to meet security and HIPAA compliance requirements.

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

Solutions: