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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
An architect is designing a scalable, automated MLOps platform using Kubeflow on a Kubernetes cluster. The platform must support the entire AI lifecycle for multiple teams, with different storage requirements at each stage.
The key requirements are:
- Data Ingestion: A pipeline step needs a shared, read-write volume accessible by multiple pods to stage raw data.
- Experimentation: Data scientists need individual, isolated volumes for their Jupyter notebooks.
- Training: Distributed training jobs require a high-performance, parallel-access filesystem for reading training data.
- Automation: All storage must be provisioned automatically via Kubeflow pipeline definitions without manual intervention.
Which combination of technologies and configurations would create the most effective solution?

A. Use the NetApp DataOps Toolkit for Python within the Kubeflow pipeline components to dynamically create and manage Trident PVCs for each stage.
B. Rely on hostPath volumes for all storage to ensure the highest performance.
C. Create a single, large NFS volume and mount it to all pods using a static PersistentVolume.
D. Configure multiple Trident backends (e.g., 'ontap-nas' for standard volumes, 'ontap-nas-flexgroup' for parallel access) and corresponding StorageClasses.
E. Use the NetApp DataOps Toolkit for all storage provisioning, bypassing Trident and Kubernetes PVCs.

Answer: A,D

NEW QUESTION # 24
Which of the following techniques are used to maximize GPU utilization in AI workloads? (Choose two)

A. Balancing compute and storage workloads efficiently
B. Scheduling GPU-intensive tasks during off-peak hours
C. Utilizing CPU-based workloads for all tasks
D. Using larger batch sizes

Answer: A,B

NEW QUESTION # 25
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 SnapCenter to create application-consistent backups of the data.
B. NetApp ONTAP with FlexGroup volumes to provide high-throughput, parallel NFS access for the HPC and AI training workloads.
C. NetApp Keystone to provide a flexible, pay-as-you-go consumption model for the infrastructure.
D. NetApp Autonomous Ransomware Protection to secure the data from modification.
E. NetApp StorageGRID to provide a scalable, S3-native object store that integrates directly with modern analytics platforms like Spark.

Answer: B,E

NEW QUESTION # 26
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)

A. Rely on tape backups to be shipped to the DR site in the event of a disaster.
B. Use NetApp SnapMirror to create an asynchronous replication relationship for the AFF A-Series volume containing the vector database, with a schedule of 10 minutes.
C. Use NetApp FlexCache at the DR site to cache data from the primary site.
D. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
E. Use the NetApp DataOps Toolkit to manually script the failover process.
F. Use StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.

Answer: B,D,F

NEW QUESTION # 27
The architect needs to design an efficient data flow to move curated training sets from the central StorageGRID data lake to the high-performance NetApp ASA system used by the AI cluster. The process must be manageable from a single interface and should be automatable. Which two NetApp technologies should be used to implement this data pipeline stage? (Choose 2.)

A. NetApp FabricPool to automatically tier the data from StorageGRID to the ASA.
B. A custom Python script using the NetApp DataOps Toolkit to trigger the data movement.
C. NetApp BlueXP copy and sync service to create and manage the data synchronization relationship between the S3 source and the NFS/CIFS destination.
D. A manual copy process using an S3 client on a bastion host.
E. NetApp SnapMirror to replicate data from the StorageGRID object store to the ASA's file system.

Answer: B,C

NEW QUESTION # 28
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Network Appliance NS0-901 Reliable Exam Blueprint - Valid NS0-901 Study Guide

2026 First-grade Network Appliance NS0-901: NetApp Certified AI Expert Exam Reliable Exam Blueprint

Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q23-Q28):

Free PDF Quiz Network Appliance - High Pass-Rate NS0-901 Reliable Exam Blueprint

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