Amazon Web Services Updated AIF-C01 Exam Questions and Answers by angus

The business objective to evaluate the effect of an LLM chatbot aimed at reducing the actions required by call center employees should be average call duration.

Average Call Duration:

This metric measures the time taken to handle a customer call or query. A successful LLM chatbot should reduce the call duration by efficiently providing answers, minimizing the need for human intervention.

By decreasing the average call duration, the company can improve call center efficiency, reduce costs, and enhance the user experience.

Why Option B is Correct:

Direct Impact: The objective aligns directly with the goal of reducing the number of actions call center employees must take.

Operational Efficiency: Reducing call duration is a clear indicator of the chatbot's effectiveness in assisting customers without human help.

Why Other Options are Incorrect:

A. Website engagement rate: Is unrelated to call center operations.

C. Corporate social responsibility: Does not relate to call center efficiency.

D. Regulatory compliance: Is important but does not measure the effectiveness of a chatbot in reducing employee actions.

Retraining or pre-training is costly and unnecessary for just using company policies.

Fine-tuning adapts models but is inefficient for frequently changing company documents.

Retrieval-Augmented Generation (RAG) is the best approach — it retrieves relevant policy documents from a knowledge base and feeds them into the model context in real time, ensuring accurate and up-to-date responses.

???? Reference:

AWS Documentation – RAG with Amazon Bedrock

Amazon SageMaker Ground Truth lets you create data labeling jobs and can integrate with Amazon Mechanical Turk (a distributed human workforce) to label large unlabeled datasets.

A (batch inference) applies models to already-trained data, not labeling.

B (PyTorch Distributed) is for distributed training, not labeling.

D (OCR) applies only to text extraction from images, not transactions.

E is incorrect; Ground Truth is the service for labeling, not "AI labeling job."

???? Reference:

AWS Documentation – SageMaker Ground Truth