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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. What is the primary reason for implementing a hybrid cloud architecture in this medical imaging scenario?

A) To reduce the overall cost of storage by keeping all data in the public cloud.
B) To simplify network management by using a single, global virtual network spanning the on- premises and cloud environments.
C) To exclusively use cloud-native AI services, eliminating the need for any on-premises hardware.
D) To leverage the powerful, elastic GPU compute resources available in the public cloud for model training while keeping sensitive source data on-premises to meet security and HIPAA compliance requirements.

2. An AI architect is reviewing the design for a new data lake. The primary requirement is to store petabytes of unstructured data (images, video, sensor logs) in a highly durable, scalable, and cost- effective manner. The data will be accessed via S3 API by various data processing and analytics applications.
The initial design proposes using a traditional Network Attached Storage (NAS) filer with a large number of disks. The architect reviews the proposal:
Proposed_System: Traditional NAS Filer
Protocol: NFSv4
Scalability_Model: Scale-up
Metadata_Handling: Centralized in filer head
Cost_per_GB: Moderate
Why is this proposed system a poor choice for a petabyte-scale data lake?

A) The S3 API cannot be used to access data stored on an NFS file system.
B) NFS is incapable of storing image or video files.
C) A NAS filer cannot be deployed on-premises.
D) A traditional scale-up NAS system will face scalability and cost-effectiveness challenges at the petabyte scale compared to an object storage system.

3. An organization is planning to deploy a large AI infrastructure but wants to avoid a large, upfront capital expenditure. They prefer an operational expenditure (OpEx) model where they pay for storage and compute resources as they are consumed. They also need the flexibility to scale resources up or down based on project demands.
Which NetApp consumption model is specifically designed to meet these financial and operational requirements?

A) NetApp Keystone, which provides a subscription-based, pay-as-you-go service for on-premises and cloud storage.
B) A perpetual licensing model for all ONTAP software features.
C) NetApp Cloud Volumes ONTAP PAYGO licensing only.
D) A standard capital purchase of AFF and ASA systems.

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 stores structured, processed data for fast querying, while a data warehouse stores raw, unstructured data in its native format.
B) A data lake uses a schema-on-write approach, while a data warehouse uses a schema-on-read approach.
C) 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.
D) A data lake is only for on-premises deployments, while a data warehouse is only for cloud deployments.

5. An AI architect needs to design a complete, end-to-end data pipeline for a new generative AI application at a financial services firm. The application will allow internal analysts to query a massive, 500 TB archive of historical market data and reports to generate summaries. The firm has the following environment and requirements:
Data_Sources: A mix of on-premises ONTAP filers and StorageGRID S3 buckets.
Requirement_1: All queries must be answered using only the private data archive.
Requirement_2: All generated summaries must provide citations to the source reports.
Requirement_3: All data containing client PII must be identified and excluded from the LLM context.
Requirement_4: The solution must be cost-effective for the large, mostly-read data archive.
Which set of actions and technologies constitutes the most robust and compliant solution?
(Select all that apply.)

A) Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.
B) During the RAG retrieval step, filter out any documents tagged as containing PII by BlueXP classification before sending them to the LLM.
C) Use NetApp XCP to perform a one-time migration of all data from the ONTAP filers to the StorageGRID data lake.
D) Use SnapMirror to replicate the StorageGRID data lake to a high-performance NetApp ASA system for faster query performance.
E) Implement a Retrieval-Augmented Generation (RAG) architecture to meet the requirements for private data usage and source citation.
F) Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.

Solutions: