DBS-C01 · Question #172
A company is running its customer feedback application on Amazon Aurora MySQL. The company runs a report every day to extract customer feedback, and a team reads the feedback to determine if the custo
The correct answer is C. Set up Aurora native integration with Amazon Comprehend. Use SQL functions to extract. Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text.
Question
A company is running its customer feedback application on Amazon Aurora MySQL. The company runs a report every day to extract customer feedback, and a team reads the feedback to determine if the customer comments are positive or negative. It sometimes takes days before the company can contact unhappy customers and take corrective measures. The company wants to use machine learning to automate this workflow. Which solution meets this requirement with the LEAST amount of effort?
Options
- AExport the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service
- BExport the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service
- CSet up Aurora native integration with Amazon Comprehend. Use SQL functions to extract
- DSet up Aurora native integration with Amazon SageMaker. Use SQL functions to extract
How the community answered
(31 responses)- A3% (1)
- B3% (1)
- C84% (26)
- D10% (3)
Explanation
Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text.
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