Network Appliance NetApp Certified AI Expert : NS0-901

NS0-901 real exams

Exam Code: NS0-901

Exam Name: NetApp Certified AI Expert Exam

Updated: Aug 27, 2026

Q & A: 106 Questions and Answers

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Network Appliance NS0-901 Exam Syllabus Topics:

SectionObjectives
Topic 1: AI and Machine Learning Fundamentals- Algorithm types
  • 1. Supervised learning
    • 2. Unsupervised learning
      • 3. Reinforcement learning
        - AI, ML, DL concepts
        • 1. Training, inference, and prediction workflows
          • 2. Differences between AI, machine learning, and deep learning
            Topic 2: Industry Use Cases- AI applications across industries
            • 1. Autonomous systems and agents
              • 2. Digital twins
                • 3. Healthcare AI
                  Topic 3: AI Lifecycle and Deployment- Operational challenges
                  • 1. Data governance and management
                    • 2. Scalability and performance optimization
                      - End-to-end AI lifecycle
                      • 1. Data ingestion and preparation
                        • 2. Model training and validation
                          • 3. Model deployment and monitoring
                            Topic 4: AI Infrastructure and NetApp Solutions- Converged workloads
                            • 1. Shared infrastructure design considerations
                              • 2. AI, HPC, and analytics convergence
                                - AI-ready data infrastructure
                                • 1. High-performance storage for AI workloads
                                  • 2. Data pipeline optimization for AI/ML workloads

                                    Network Appliance NetApp Certified AI Expert Sample Questions:

                                    Question 1

                                    The data science team in Azure reports that training jobs are taking longer than expected. An analysis of the Cloud Volumes ONTAP instance in Azure shows that the instance type is undersized for the I/O demands of the training workload. The architect needs to change the Azure VM instance type for the Cloud Volumes ONTAP system to a more powerful one.
                                    The current configuration is:
                                    Cloud_Provider: Azure
                                    ONTAP_System: Cloud Volumes ONTAP (Single Node)
                                    Current_Instance_Type: Standard_DS3_v2
                                    Target_Instance_Type: Standard_E8s_v4
                                    What is the most direct method to perform this operation using NetApp's management tools?

                                    A. From the BlueXP Canvas, select the Cloud Volumes ONTAP working environment and use the
                                    "Change Instance Type" action in the Features panel.
                                    B. SSH to the Cloud Volumes ONTAP instance and run an ONTAP command to modify the underlying VM.
                                    C. Use the Azure portal to manually change the VM instance type.
                                    D. Terminate the existing Cloud Volumes ONTAP instance and deploy a new one with the target instance type, then restore data from backup.


                                    Question 2

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


                                    Question 3

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


                                    Question 4

                                    An MLOps engineer is deploying a training pod that requires a high-performance volume. After applying the pod and PVC manifests, the pod remains in a 'Pending' state. The engineer runs
                                    'kubectl describe pod training-pod-7d8c' and sees the following event:
                                    Events:
                                    Type Reason Age From Message
                                    - - - -
                                    Warning FailedScheduling 2m15s
                                    default-scheduler 0/4 nodes are available: 1 node(s) had volume node affinity conflict, 3 node(s) didn't find available persistent volume to bind.
                                    The engineer then inspects the associated PVC and sees its status is also 'Pending'.
                                    What is the most likely cause of this issue?

                                    A. The ONTAP backend is out of available capacity to provision a new volume.
                                    B. The 'storageClassName' specified in the PVC does not match any existing StorageClass managed by Trident.
                                    C. The Kubernetes scheduler is malfunctioning and cannot assign pods to nodes.
                                    D. The Trident controller pod has crashed and needs to be restarted.


                                    Question 5

                                    The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?

                                    A. A Cloud Volumes ONTAP instance with a standard file system.
                                    B. A NetApp StorageGRID system accessed via the S3 protocol.
                                    C. A NetApp ASA system serving a single, large NFS volume.
                                    D. A NetApp E-Series system serving a BeeGFS parallel file system.


                                    Solutions:

                                    Question 1
                                    Answer: A
                                    Question 2
                                    Answer: C,E
                                    Question 3
                                    Answer: D
                                    Question 4
                                    Answer: B
                                    Question 5
                                    Answer: D

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