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Q6 Single choice

You're developing an agent that monitors social media mentions of your brand. The social media platform's API returns data mentioning your brand with varying confidence scores that the brand was

actually being mentioned, but these scores aren't consistently calibrated.

Considering the unreliability of these confidence scores, what's the most reliable way for the agent to insure it is truly processing media mentions of the brand?

A
Using an approach that filters mentions with basic keyword search and removes those with
exceptionally low confidence scores, relying on the API data as a first-pass filter.
B
Using an approach that treats all mentions as equally reliable, regardless of their confidence scores,
and applies a uniform data processing workflow to minimize inconsistency.
C
Using a threshold-based approach, accepting mentions only if their confidence score exceeds a
predefined level that aligns with typical thresholds used for well-calibrated APIs.
D
Using an approach that combines the agent's text analysis with the API's confidence score, weighing
the agent's assessment more heavily when identifying mentions.

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