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Network Appliance NetApp Certified AI Expert copyright Sample Questions (Q24-Q29):

NEW QUESTION # 24
An AI architect needs to design a complete, end-to-end data pipeline for a new generative AI application at a financial services firm. The application will allow internal analysts to query a massive, 500 TB archive of historical market data and reports to generate summaries. The firm has the following environment and requirements:
Data_Sources: A mix of on-premises ONTAP filers and StorageGRID S3 buckets.
Requirement_1: All queries must be answered using only the private data archive.
Requirement_2: All generated summaries must provide citations to the source reports.
Requirement_3: All data containing client PII must be identified and excluded from the LLM context.
Requirement_4: The solution must be cost-effective for the large, mostly-read data archive.
Which set of actions and technologies constitutes the most robust and compliant solution?
(Select all that apply.)

A. Use SnapMirror to replicate the StorageGRID data lake to a high-performance NetApp ASA system for faster query performance.
B. Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.
C. Implement a Retrieval-Augmented Generation (RAG) architecture to meet the requirements for private data usage and source citation.
D. During the RAG retrieval step, filter out any documents tagged as containing PII by BlueXP classification before sending them to the LLM.
E. Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.
F. Use NetApp XCP to perform a one-time migration of all data from the ONTAP filers to the StorageGRID data lake.

Answer: B,C,D,F

NEW QUESTION # 25
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 is only for on-premises deployments, while a data warehouse is only for cloud deployments.
B. 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.
C. A data lake uses a schema-on-write approach, while a data warehouse uses a schema-on-read approach.
D. A data lake stores structured, processed data for fast querying, while a data warehouse stores raw, unstructured data in its native format.

Answer: B

NEW QUESTION # 26
A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?

A. Trident will create a 1 Gi volume, as this is the default size for all PVCs.
B. Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.
C. The PVC will fail because a 'storageClassName' is not explicitly defined.
D. The PVC will remain in a "Pending" state until a PersistentVolume is manually created.

Answer: B

NEW QUESTION # 27
Which of the following describes the impact of generative AI in content creation?

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

Answer: A

NEW QUESTION # 28
The firm's CFO is concerned about the rising costs of the on-premises AI infrastructure. A storage utilization report shows that of the 200 TB of data on the high-performance AFF A-Series, 150 TB consists of inactive, older versions of product documents that are rarely accessed but must be kept online for regulatory reasons.
The current storage landscape is:
- Performance Tier: NetApp AFF A-Series (200 TB used)
- Capacity Tier: NetApp StorageGRID (1.5 PB used)
What is the most effective and automated solution to reduce the storage cost of the performance tier without impacting data accessibility?

A. Manually identify and delete the 150 TB of inactive data from the AFF A-Series.
B. Purchase an additional, larger AFF A-Series system to gain better storage efficiency through deduplication.
C. Use NetApp SnapMirror to replicate the entire 200 TB volume to the StorageGRID system and then delete the source.
D. Implement NetApp FabricPool to automatically tier the inactive data blocks from the AFF A-Series to the StorageGRID system.

Answer: D

NEW QUESTION # 29
......

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Free PDF Quiz 2026 Network Appliance NS0-901 Fantastic Reliable copyright copyright

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NS0-901 copyright Files & Valid Dumps NS0-901 Questions

Network Appliance NetApp Certified AI Expert copyright Sample Questions (Q24-Q29):

Free PDF The Best NS0-901 - Reliable NetApp Certified AI Expert copyright copyright copyright

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