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Network Appliance NetApp Certified AI Expert Sample Questions:

1. A data scientist on the team wants to run an experiment on a new vector indexing strategy. To do this, they need a temporary, writable copy of the main vector database. They use the NetApp DataOps Toolkit for Python to automate this process.
The following script is executed:
from netapp_dataops.k8s import clone_pvc
clone_pvc(
source_pvc_name="prod-vector-db-pvc",
new_pvc_name="exp-indexing-clone",
namespace="ds-prod"
)
Assuming the source PVC exists and the user has correct permissions, what is the primary benefit of using this method?

A) It uses NetApp FlexClone technology to create a near-instantaneous, space-efficient writable copy of the volume, accelerating the experimental workflow.
B) It creates a read-only Snapshot, ensuring the integrity of the experimental data.
C) It automatically migrates the data from the AFF A-Series to the StorageGRID system for the experiment.
D) It creates a full physical copy of the data, providing the best performance isolation.

2. Which of the following platforms provides tools for model training and deployment specifically for AI workloads?

A) Domino Data Labs
B) Google VertexAI
C) RunAI
D) All of the above

3. A training job on one of the NVIDIA DGX servers is running slowly. A performance engineer runs the 'dstat' command on the server and captures the following output during the job execution.
-total-cpu-usage- -dsk/total- -net/total- paging-- system-- usr sys idl wai hiq siq| read writ| recv send| in out | int csw 15 5 70 10 0 0| 1.2G 15.0M| 1.2G 12.0M| 0 0 | 15k 35k
14 6 69 11 0 0| 1.2G 14.3M| 1.2G 11.8M| 0 0 | 14k 33k
16 5 68 11 0 0| 1.2G 16.1M| 1.2G 13.1M| 0 0 | 16k 36k
The server is connected to the NetApp ASA via a 100GbE (12.5 GB/s) network.
What is the most likely performance bottleneck based on this data?

A) The server's network interface is saturated.
B) The server's CPU is overloaded.
C) The storage system (ASA) is unable to provide sufficient read throughput.
D) The application is experiencing excessive memory paging.

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

5. An AI architect is planning the resource allocation for a new project. The primary task is to process millions of unlabeled customer reviews to identify naturally occurring groups or themes without any prior guidance.
The project requirements are summarized below:
Task: Discover hidden patterns in text data
Input_Data: 10 million unlabeled text reviews
Output: Clustered groups of related reviews
Supervision: None
Which type of machine learning algorithm is required for this task?

A) Predictive learning
B) Supervised learning
C) Unsupervised learning
D) Reinforcement learning

Solutions: