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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
AI Overview	15%	- Algorithm types: supervised, unsupervised, reinforcement learning - AI industry use cases and applications - AI deployment models: on-premises, cloud, edge - AI, machine learning, and deep learning concepts - Convergence of AI, high-performance computing, and analytics
Cloud and Hybrid Cloud AI Deployment	18%	- NetApp cloud data services for AI - Hybrid and multi-cloud AI architectures - Data mobility and consistency across environments - Cloud-native AI solutions and integration
Security, Reliability, and Operations	15%	- Data security and access control for AI - Monitoring, logging, and troubleshooting AI environments - Cost management and efficiency - High availability and data protection
NetApp AI Solutions and Architecture	25%	- ONTAP integration with AI frameworks - NetApp AI-ready infrastructure components - Data management and data pipeline design - Scalability and performance optimization for AI - Storage architectures for AI workloads
AI Lifecycle	27%	- Predictive vs generative AI - Model training, inference, and optimization - AI lifecycle stages: design, training, deployment, monitoring - Data preparation and management for AI - AI governance, ethics, and compliance

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of the following platforms provides tools for model training and deployment specifically for AI workloads?

A. RunAI
B. All of the above
C. Domino Data Labs
D. Google VertexAI

Answer: B

NEW QUESTION # 11
A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?

A. The action on detection is set only to "notify," which will not block the attack.
B. The learning mode is set to "normal," which may not detect zero-day attacks.
C. The volume is not part of any Snapshot schedule.
D. The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.

Answer: D

NEW QUESTION # 12
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. 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.
B. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
C. Use the NetApp DataOps Toolkit to manually script the failover process.
D. Rely on tape backups to be shipped to the DR site in the event of a disaster.
E. 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.
F. Use NetApp FlexCache at the DR site to cache data from the primary site.

Answer: A,B,E

NEW QUESTION # 13
The data scientists report that their Kubernetes-based data preparation jobs are failing. The pods are stuck in a 'Pending' state.
An MLOps engineer runs 'kubectl describe pvc data-prep-pvc-01' and sees the following event:
Type Reason Age From Message
- - - -
Warning ProvisioningFailed 2m15s trident-orchestrator-7b... failed to provision volume with StorageClass "bronze-tier": backend unavailable: no healthy backend with satisfying attributes for storage class "bronze-tier" The engineer checks the Trident backend configurations and finds no backend associated with the "bronze-tier" StorageClass.
What is the root cause of the failure?

A. The StorageGRID data lake is offline, preventing the creation of new volumes.
B. The PersistentVolumeClaim is referencing a StorageClass that has no configured or healthy Trident backend to provision storage from.
C. The Kubernetes scheduler is unable to find a node with enough resources for the pods.
D. The data preparation pods do not have the correct security permissions.

Answer: B

NEW QUESTION # 14
The firm wants to extend the "Advisor Assistant" to include a new batch processing feature. Every night, the system must analyze every client portfolio against a set of 50 different risk models and generate a compliance report. This is a highly parallel, read-intensive workload. The architect must design a data workflow that is efficient and does not impact the production chatbot environment. Which sequence of actions and technologies provides the most effective solution?

A. Run the analysis job directly against the production portfolio database during off-peak hours.
B. Create a full physical copy of the client portfolio database to a separate volume, mount it to the compute nodes, and run the analysis.
C. Use NetApp SnapMirror to replicate the portfolio database volume to the DR site, and run the analysis jobs there.
D. Create a NetApp Snapshot of the portfolio database volume, create a FlexClone from that snapshot, mount the FlexClone to the analysis pods, and run the batch job.

Answer: D

NEW QUESTION # 15
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