Certificate NS0-901 Exam - 100% Pass Network Appliance NS0-901 First-grade Exam Question

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Network Appliance NS0-901 Exam Syllabus Topics:

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

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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
The company's compliance officer mandates that all raw simulation data in the StorageGRID data lake must be protected from modification or deletion for a period of seven years. Which two StorageGRID features should be implemented to meet this strict, long-term data immutability requirement? (Choose 2.)

A. Encrypt all objects in the bucket using server-side encryption (SSE).
B. Configure an Information Lifecycle Management (ILM) rule that applies to the bucket and sets a retention period of seven years.
C. Use NetApp SnapMirror to replicate the data to a second StorageGRID system.
D. Enable Autonomous Ransomware Protection (ARP) on the StorageGRID system.
E. Create a new S3 bucket with Object Lock enabled in Compliance mode.

Answer: B,E

NEW QUESTION # 14
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

Answer: D

NEW QUESTION # 15
A company is running its AI training workloads on a NetApp AFF A-Series system. To manage costs, they want to automatically move inactive training datasets and older model checkpoints from the high- performance all-flash tier to a lower-cost object storage tier, such as an on- premises StorageGRID or a public cloud bucket. The process must be transparent to the data scientists and not require changes to their scripts or file paths.
Which two NetApp technologies should be combined to achieve this goal? (Choose 2.)

A. NetApp FlexCache
B. NetApp XCP
C. NetApp SnapMirror
D. NetApp StorageGRID
E. NetApp FabricPool

Answer: D,E

NEW QUESTION # 16
A research lab uses a fleet of autonomous drones to collect high-resolution aerial imagery for agricultural analysis. The drones land at a remote edge location and offload their data. The AI models for image analysis are trained at a central data center. The team is using NetApp SnapMirror to replicate the data from the edge to the core. However, the data scientists are complaining that the datasets arriving at the data center are often incomplete or corrupted.
An administrator reviews the SnapMirror configuration and status via the BlueXP API:
{
"source": { "workingEnvironmentId": "OnPrem-Edge-Filer-1", "volumeName": "drone_data_raw" },
"destination": { "workingEnvironmentId": "Core-Datacenter-A800", "volumeName":
"drone_data_replicated" },
"mirrorState": "broken-off",
"relationshipStatus": "idle",
"unhealthyReason": "Transfer failed. Destination volume is out of space.", "lastTransferInfo": {
"transferError": "No space left on device"
}
}
What is the direct cause of the incomplete datasets at the data center?

A. The SnapMirror relationship is broken because the destination volume at the core data center has run out of capacity.
B. The source volume at the edge location has become corrupted.
C. The network connection between the edge and the core is unreliable.
D. The BlueXP Connector does not have the correct permissions to manage the SnapMirror relationship.

Answer: A

NEW QUESTION # 17
A data science team reports that their Jupyter notebook pod, which was previously working, is now failing to start. The pod's status is 'CrashLoopBackOff'. An MLOps engineer investigates and finds that the pod's PersistentVolumeClaim (PVC) is bound, but the pod logs show a "Permission denied" error when trying to write to its '/data' mount point.
The engineer checks the Trident backend configuration associated with the pod's StorageClass:
apiVersion: trident.netapp.io/v1
kind: TridentBackendConfig
metadata:
name: ontap-nas-eco
spec:
version: 1
storageDriverName: ontap-nas
managementLIF: 10.10.20.5
dataLIF: 10.10.20.10
svm: svm-prod-ds
exportPolicy: read-only-policy
What is the most likely cause of the "Permission denied" error?

A. The Trident backend is configured to use an export policy ('read-only-policy') that does not grant write permissions to the Kubernetes nodes.
B. The 'dataLIF' is configured incorrectly and is unreachable from the Kubernetes nodes.
C. The 'storageDriverName' should be 'ontap-san' for all AI workloads.
D. The Kubernetes pod has an invalid 'securityContext' that prevents it from writing to any volume.

Answer: A

NEW QUESTION # 18
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