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Network Appliance NetApp Certified AI Expert Sample Questions:

1. Due to the success of the "Advisor Assistant," the number of concurrent users is expected to double in the next quarter. The existing Kubernetes cluster is running at 80% of its GPU capacity during peak hours. The architect must propose a plan to scale the compute infrastructure to handle the increased load.
Which two strategies represent the most effective and scalable solutions? (Choose 2.)

A) Configure the Kubernetes Cluster Autoscaler to automatically add new nodes to the cluster from a predefined node pool when GPU demand exceeds current capacity.
B) Manually deploy all new application replicas to a single, new, very large "super-node".
C) Replace all existing GPUs with the next-generation model to increase the performance of each node.
D) Vertically scale the existing nodes by adding more RAM and CPU cores to each one.
E) Horizontally scale the cluster by adding new GPU-equipped nodes.

2. The firm has acquired a competitor, and the volume of proprietary documents for the "Advisor Assistant" is expected to triple, exceeding the capacity of the current StorageGRID data lake. The architect needs to expand the data lake's capacity non-disruptively.
The current StorageGRID status is:
System_Health: Nominal
Node_Count: 6 (3 Storage Nodes, 3 Admin/Gateway Nodes)
Usable_Capacity: 1.5 PB
Used_Capacity: 1.4 PB (93%)
What is the standard procedure for scaling the capacity of the on-premises NetApp StorageGRID system?

A) Use FabricPool to tier the excess data from StorageGRID to a public cloud provider.
B) Add new storage nodes to the existing StorageGRID system and execute an expansion procedure.
C) Replace the disks in the existing storage nodes with higher-capacity drives.
D) Provision a new, separate StorageGRID system and use BlueXP copy and sync to move the data.

3. Which of the following best describes the difference between data lakes, data warehouses, and lakehouses?

A) Data lakes store structured data, data warehouses store unstructured data, and lakehouses store only real-time data.
B) Data lakes store metadata, data warehouses store transaction data, and lakehouses store archival data.
C) Data lakes store data in cloud storage, data warehouses store it in traditional databases, and lakehouses store it in external drives.
D) Data lakes store raw, unstructured data, data warehouses store structured data, and lakehouses combine the features of both.

4. An AI architect is designing a storage solution for a new training cluster. The primary workload consists of training large language models, which involves sequential reads of massive datasets.
The key requirement is to maximize GPU utilization by providing the highest possible data throughput. Cost is a secondary concern to performance.
Which NetApp storage system is the most appropriate choice for this workload?

A) NetApp StorageGRID
B) NetApp ASA (All-SAN Array)
C) NetApp E-Series
D) NetApp C-Series

5. To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)

A) NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
B) A custom "PII" category within BlueXP classification to identify specific medical record number formats.
C) NetApp SnapLock to make the source data immutable before scanning.
D) A manual review process where technicians visually inspect each scan for PII.
E) A custom Python script that uses regular expressions to search file contents.

Solutions: