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Network Appliance NetApp Certified AI Expert Sample Questions:

1. An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process. Which of the following are the four essential requirements for model generation?

A) Data, code, compute, and time.
B) A data lake, a data warehouse, a data pipeline, and a data mart.
C) A project manager, a data scientist, a software engineer, and a budget.
D) A pre-trained model, a validation set, an inference engine, and a cloud provider.

2. 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 FabricPool
B) NetApp XCP
C) NetApp StorageGRID
D) NetApp FlexCache
E) NetApp SnapMirror

3. What is the primary architectural advantage of using a NetApp AIPod with NVIDIA DGX servers for the AI training cluster, as described in the scenario?

A) It exclusively uses object storage, which simplifies access for data scientists using S3-native tools.
B) It is designed for small-scale, departmental AI projects and cannot be scaled.
C) It is a reference architecture that is pre-validated by NetApp and NVIDIA to eliminate design complexity and ensure predictable performance for AI workloads.
D) It prioritizes CPU performance over GPU performance for traditional machine learning algorithms.

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

5. Which storage protocols are commonly used for handling large-scale AI data? (Choose two)

A) POSIX-based file systems
B) Parallel file systems
C) Object-based storage
D) File-based systems

Solutions: