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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q10-Q15):

A. Recommend training a new LLM from scratch to ensure both brand voice and factual accuracy are built-in.
B. Propose a hybrid approach where a base model is first lightly fine-tuned for persona, then used within a RAG system for factual grounding.
C. Prioritize fine-tuning to embed the company's brand voice and persona into the model.
D. Prioritize a RAG architecture to meet the critical requirements for factual accuracy and data traceability.
E. Use RAG exclusively, as prompt engineering alone can fully replicate a specific brand voice and persona.

Answer: B,D

NEW QUESTION # 11
An online retail company's recommendation engine, which provides real-time product suggestions to users, is experiencing unacceptable latency. The inference application is running on a correctly-sized edge server, but user requests are taking over 500ms to process. An architect reviews the data access pattern and infrastructure diagram.
Application_Location: Edge Server (In-store)
Data_Source_Location: Core Data Center (On-premises ONTAP)
Data_Required_for_Inference: User profile data, product catalog vectors Network_Path: Edge -> WAN -> Core Data Center Observed_Latency: 550ms What is the most likely cause of the high inference latency?

A. The model is too large to fit into the edge server's memory.
B. Every inference request requires a high-latency round trip over the WAN to fetch data from the core data center.
C. The on-premises ONTAP system is not configured for high-throughput.
D. The edge server has insufficient CPU resources to run the model.

Answer: B

NEW QUESTION # 12
A financial services company is required by regulators to be able to trace any version of their deployed fraud detection model back to the exact dataset and source code commit used to train it.
The current MLOps workflow is as follows:
Code_Repository: Git (commit hash: a1b2c3d4)
Dataset_Location: /vol/prod_data/fraud_dataset_v3
Storage_System: NetApp ONTAP 9
Model_Output: /vol/models/fraud_model_v3.2
Which NetApp technology should be used to create an immutable, point-in-time, and space- efficient copy of the dataset that can be linked to the specific code commit and model version?

A. NetApp FlexClone
B. NetApp SnapMirror
C. NetApp Snapshots
D. NetApp FabricPool

Answer: C

NEW QUESTION # 13
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. A project manager, a data scientist, a software engineer, and a budget.
B. A pre-trained model, a validation set, an inference engine, and a cloud provider.
C. Data, code, compute, and time.
D. A data lake, a data warehouse, a data pipeline, and a data mart.

Answer: C

NEW QUESTION # 14
Which AI technology is used to generate new, never-before-seen content such as images or text?

A. Supervised AI
B. Generative AI
C. Predictive AI
D. Reinforcement AI

Answer: B

NEW QUESTION # 15
......

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