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Network Appliance NS0-901 Exam Questions - Choice Of Certified Professionals [2026]

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q66-Q71):

NEW QUESTION # 66
A media company is building a new generative AI service. The project has two main components:
1. Data Lake & Fine-Tuning: A 300 TB repository of unstructured data (videos, images, text) stored as objects will be used to fine-tune a foundational model. This process requires a scalable, cost-effective storage solution that can integrate with cloud-native data processing tools like Apache Spark.
2. Inference & RAG: The fine-tuned model will be used in a customer-facing application that leverages Retrieval-Augmented Generation (RAG). To ensure low-latency responses, the RAG component requires extremely fast lookups from a 10 TB vector database.
The company needs a solution that optimizes both cost and performance for this entire lifecycle.
Which combination of NetApp technologies provides the most appropriate solution for this scenario?

A. Use NetApp E-Series for the data lake and a NetApp ASA system for the vector database.
B. Use NetApp Cloud Volumes ONTAP for the data lake and NetApp StorageGRID for the vector database.
C. Use NetApp StorageGRID for the data lake and a NetApp ASA system for the vector database.
D. Use a single, large NetApp ASA system for both the object data lake and the vector database.

Answer: C

NEW QUESTION # 67
A team has deployed a Retrieval-Augmented Generation (RAG) system to answer customer queries. Recently, users have complained that the answers provided by the chatbot are outdated and do not reflect the latest product updates. An architect investigates and finds the following status log from the RAG pipeline's data ingestion monitor.
Timestamp: 2025-07-11T14:00:00Z
System: RAG Pipeline Monitor
Status: WARNING
Message: Vector DB freshness check failed.
Source data appears stale.
Vector_DB_Last_Update: 2025-06-10T08:00:00Z
Knowledge_Base_Last_Modified: 2025-07-11T13:15:00Z
Data_Sync_Service: BlueXP copy and sync
Sync_Job_Status: Succeeded
Based on the log, what is the most likely cause of the outdated answers?

A. The BlueXP copy and sync service is failing to copy data to the staging area.
B. The LLM needs to be fine-tuned with the new product information.
C. The knowledge base itself has not been updated with the latest product information.
D. The process that converts staged documents into vectors and updates the vector database is not running.

Answer: D

NEW QUESTION # 68
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 network between the application and the storage system is saturated.
B. The AFF A-Series system is underpowered and cannot handle the IOPS load.
C. The vector database is poorly indexed, causing inefficient, slow lookups that translate to high read latency on the storage.
D. The storage node CPU is the bottleneck, preventing faster data processing.

Answer: C

NEW QUESTION # 69
An AI infrastructure architect is tasked with designing a solution to address two critical challenges in a large, multi-petabyte AI environment:
1. Cost: A significant portion of the data on the high-performance all-flash storage is inactive but must remain online. The cost of storing this cold data on the performance tier is prohibitive.
2. Traceability: Data scientists need a simple, space-efficient way to version their datasets at key points in their workflow to ensure reproducibility.
The environment consists of NetApp AFF A-Series and NetApp StorageGRID systems.
Which combination of NetApp technologies should the architect implement to solve both challenges simultaneously? (Select all that apply.)

A. Implement NetApp FlexClone to create full, writable copies of datasets for each experiment.
B. Use BlueXP backup and recovery to create backups on StorageGRID, then delete the original volumes from the AFF systems.
C. Train data scientists to use NetApp Snapshots to create point-in-time, read-only versions of their data volumes.
D. Implement NetApp FabricPool to automatically tier cold data blocks from the AFF systems to StorageGRID.
E. Use NetApp SnapMirror to replicate volumes from the AFF systems to StorageGRID for archival.
F. Use NetApp XCP to periodically move cold data from the AFF systems to StorageGRID.

Answer: C,D

NEW QUESTION # 70
In the data pipeline, which NetApp technology is used to create an efficient, block-level, incremental replication of the anonymized datasets from the on-premises ASA to the Cloud Volumes ONTAP instance in Azure?

A. NetApp FabricPool
B. NetApp SnapMirror
C. NetApp BlueXP copy and sync
D. NetApp XCP

Answer: B

NEW QUESTION # 71
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