Topic 1 Question 44
You work for a large technology company that wants to modernize their contact center. You have been asked to develop a solution to classify incoming calls by product so that requests can be more quickly routed to the correct support team. You have already transcribed the calls using the Speech-to-Text API. You want to minimize data preprocessing and development time. How should you build the model?
Use the AI Platform Training built-in algorithms to create a custom model.
Use AutoMlL Natural Language to extract custom entities for classification.
Use the Cloud Natural Language API to extract custom entities for classification.
Build a custom model to identify the product keywords from the transcribed calls, and then run the keywords through a classification algorithm.
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コメント(9)
Should be B -> minimize data preprocessing and development time
👍 20chohan2021/06/18- 正解だと思う選択肢: B
AutoML Natural Language - custom entities, with least development time
👍 3ggorzki2022/01/19 I'm leaning towards C over B here. The question is underlining that minimal development time is required, and C is even less than B. If the information is really domain specific, then you'd need B, but it's not clear what products the company sells, so we don't have enough info to say it's too domain specific for C.
👍 3baimus2022/03/17
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