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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. To comply with the security mandate, the architect must design a process to prevent client PII from the portfolio database from ever being included in the context sent to the LLM. Which two actions are required to build a robust and automated solution for this? (Choose 2.)

A) Use BlueXP classification to perform an initial scan of the portfolio database to identify and tag all columns containing PII.
B) Rely on a disclaimer in the chatbot UI telling advisors not to enter queries related to specific clients.
C) Implement a data preparation step in the RAG pipeline that programmatically masks or excludes any data fields tagged as PII before the context is constructed.
D) Move the entire client portfolio database to an encrypted, air-gapped system.
E) Fine-tune the LLM on a sanitized dataset to teach it to ignore PII.

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

3. The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?

A) A NetApp E-Series system serving a BeeGFS parallel file system.
B) A Cloud Volumes ONTAP instance with a standard file system.
C) A NetApp ASA system serving a single, large NFS volume.
D) A NetApp StorageGRID system accessed via the S3 protocol.

4. An architect is explaining different data storage paradigms to a new data engineering team. The team needs to understand where to store different types of data for their AI projects. Which statement accurately describes a key difference between a data lake and a data warehouse?

A) A data lake uses a schema-on-write approach, while a data warehouse uses a schema-on-read approach.
B) A data lake is only for on-premises deployments, while a data warehouse is only for cloud deployments.
C) A data lake stores structured, processed data for fast querying, while a data warehouse stores raw, unstructured data in its native format.
D) A data lake is designed to store vast quantities of raw, multi-format data (structured, semi- structured, and unstructured), while a data warehouse is typically used for storing structured and filtered data that has already been processed for a specific purpose.

5. Given the company's goal of combining physics-based simulations with AI-driven analytics on a shared data foundation, which industry trend does this project best represent?

A) The exclusive use of public cloud resources for all computational tasks.
B) The separation of AI and HPC into dedicated, air-gapped environments.
C) The convergence of AI, High-Performance Computing (HPC), and analytics on a unified data infrastructure.
D) The replacement of all physical testing with digital simulations.

Solutions: