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Network Appliance NetApp Certified AI Expert Sample Questions:

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

2. An enterprise is planning a generative AI solution to power its internal support chatbot. The architect must choose between a RAG-based approach and fine-tuning a base model. The project stakeholders have provided a list of prioritized requirements.
| Requirement | Priority | Details
|
| | -- | |
| Factual Accuracy | Critical | Must use the latest product documentation, updated daily.
| | Brand Voice & Persona | High | Must respond in the company's specific, formal tone.
| | Development Cost | High | Limited budget for GPU compute hours for model training.
|
| Data Traceability | Critical | Must be able to cite the exact source document for each answer.
|
Which two recommendations should the architect make to best satisfy these requirements?
(Choose 2.)

A) Propose a hybrid approach where a base model is first lightly fine-tuned for persona, then used within a RAG system for factual grounding.
B) Prioritize fine-tuning to embed the company's brand voice and persona into the model.
C) Use RAG exclusively, as prompt engineering alone can fully replicate a specific brand voice and persona.
D) Recommend training a new LLM from scratch to ensure both brand voice and factual accuracy are built-in.
E) Prioritize a RAG architecture to meet the critical requirements for factual accuracy and data traceability.

3. The "Advisor Assistant" application, running as a pod in Kubernetes, suddenly cannot access its data on the AFF A-Series. The application logs show "connection timed out" errors. The network team provides a firewall log snippet for the traffic between the application pod and the storage system's NFS data LIF.
TIME | SRC_IP | DST_IP | PROTO | DST_PORT | ACTION
-|--||-|-|-
2025-07-11T16:01:10Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 111 | BLOCKED 2025-07-
11T16:01:12Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 2049 | BLOCKED What is the most likely cause of the connectivity failure?

A) The ONTAP system's data LIF is offline.
B) A network firewall between the pod's subnet and the storage subnet is blocking the required NFS ports.
C) The application pod has incorrect mount options configured.
D) The AFF A-Series does not support the NFS protocol.

4. A training job on one of the NVIDIA DGX servers is running slowly. A performance engineer runs the 'dstat' command on the server and captures the following output during the job execution.
-total-cpu-usage- -dsk/total- -net/total- paging-- system-- usr sys idl wai hiq siq| read writ| recv send| in out | int csw 15 5 70 10 0 0| 1.2G 15.0M| 1.2G 12.0M| 0 0 | 15k 35k
14 6 69 11 0 0| 1.2G 14.3M| 1.2G 11.8M| 0 0 | 14k 33k
16 5 68 11 0 0| 1.2G 16.1M| 1.2G 13.1M| 0 0 | 16k 36k
The server is connected to the NetApp ASA via a 100GbE (12.5 GB/s) network.
What is the most likely performance bottleneck based on this data?

A) The storage system (ASA) is unable to provide sufficient read throughput.
B) The server's CPU is overloaded.
C) The application is experiencing excessive memory paging.
D) The server's network interface is saturated.

5. An AI infrastructure team is selecting a storage protocol for a new, high-performance computing (HPC) cluster that will be used for a weather modeling AI application. The application requires extremely high-throughput, parallel access from hundreds of compute nodes to a shared dataset.
The workload characteristics are as follows:
Access_Pattern: Massively parallel reads from many clients.
File_Type: Large, shared data files.
Latency_Sensitivity: High (for metadata operations).
Primary_Requirement: Maximum aggregate throughput.
Which storage protocol is best suited for this workload?

A) A block-based protocol using iSCSI.
B) An object-based storage system using S3.
C) A standard file-based system using NFS.
D) A parallel file system like BeeGFS or Lustre.

Solutions: