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Network Appliance NetApp Certified AI Expert Sample Questions:

1. A research institute is designing an infrastructure to support its entire AI drug discovery pipeline.
The pipeline has two distinct workload requirements:
1. Training: A team of data scientists needs to train several large transformer models simultaneously using a 500 TB dataset of genomic sequences. This process requires maximum data throughput to keep the GPUs saturated.
2. Inference: Once trained, the models are deployed to an internal web portal where researchers submit individual protein sequences for analysis. These queries must return results with the lowest possible latency.
Which infrastructure design best satisfies both requirements? (Choose 2.)

A) Use NetApp StorageGRID as the primary storage for both the training and low-latency inference workloads.
B) Configure QoS minimums on the training volumes to ensure they do not impact inference performance.
C) Implement NetApp FlexCache on smaller nodes at the network edge to serve the inference requests.
D) Deploy a large NetApp ASA cluster with GPUDirect Storage enabled for the training environment.
E) Use a single, large Cloud Volumes ONTAP instance in a public cloud to handle both workloads to simplify management.

2. A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?

A) Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.
B) The PVC will fail because a 'storageClassName' is not explicitly defined.
C) The PVC will remain in a "Pending" state until a PersistentVolume is manually created.
D) Trident will create a 1 Gi volume, as this is the default size for all PVCs.

3. An architect is designing the storage and network infrastructure for a new, large-scale AI cluster dedicated to training foundational models. The primary design goal is to achieve the highest possible data throughput and the lowest latency to ensure multi-million dollar GPU resources are never idle. Which two technologies are essential to include in the design to achieve this goal?
(Choose 2.)

A) A tiered storage architecture using NetApp FabricPool.
B) GPUDirect Storage support on the storage system.
C) NetApp StorageGRID as the primary storage for the training datasets.
D) An InfiniBand or RoCE-capable Ethernet network fabric.
E) A 10GbE Ethernet network for all data traffic.

4. An MLOps team uses a variety of platforms to manage their AI workloads. They need to understand the primary function of each tool within their ecosystem. Which statement best describes the role of an MLOps/LLMOps platform like Kubeflow or Run:AI?

A) They are orchestration and management platforms that automate and streamline the entire AI/ML lifecycle, from data preparation and model training to deployment and monitoring.
B) They are integrated development environments (IDEs) used exclusively for writing Python code.
C) They are specialized storage systems designed to hold large datasets for training.
D) They are networking protocols designed to accelerate data transfer between GPUs.

5. A healthcare organization plans to use a large dataset of patient records to train a predictive model. Before training, they must identify and segregate all records containing Personally Identifiable Information (PII) to comply with privacy regulations. The data resides on an on- premises NetApp ONTAP cluster. The organization needs an automated tool to scan the data in- place and tag files containing PII without moving the data.
The project requirements are as follows:
Task: Identify PII in a large dataset.
Data_Location: On-premises ONTAP cluster.
Constraint: Data must not be moved from its source location for scanning.
Output: Tagged files containing PII.
Which NetApp tool is designed for this specific task?

A) NetApp SnapMirror
B) NetApp FlexCache
C) NetApp XCP
D) NetApp BlueXP classification

Solutions: