AWS Certified Machine Learning – Specialty — Question 186

A company is using a legacy telephony platform and has several years remaining on its contract. The company wants to move to AWS and wants to implement the following machine learning features:

• Call transcription in multiple languages
• Categorization of calls based on the transcript
• Detection of the main customer issues in the calls
• Customer sentiment analysis for each line of the transcript, with positive or negative indication and scoring of that sentiment

Which AWS solution will meet these requirements with the LEAST amount of custom model training?

Answer options

• A. Use Amazon Transcribe to process audio calls to produce transcripts, categorize calls, and detect issues. Use Amazon Comprehend to analyze sentiment.
• B. Use Amazon Transcribe to process audio calls to produce transcripts. Use Amazon Comprehend to categorize calls, detect issues, and analyze sentiment
• C. Use Contact Lens for Amazon Connect to process audio calls to produce transcripts, categorize calls, detect issues, and analyze sentiment.
• D. Use Contact Lens for Amazon Connect to process audio calls to produce transcripts. Use Amazon Comprehend to categorize calls, detect issues, and analyze sentiment.

Correct answer: C

Explanation

The correct answer is C because Contact Lens for Amazon Connect provides built-in capabilities for transcribing calls, categorizing them, detecting issues, and analyzing sentiment without requiring extensive custom model training. Options A and B incorrectly suggest using Amazon Comprehend for tasks that Contact Lens already handles, while option D splits tasks between Contact Lens and Amazon Comprehend, which is unnecessary and less efficient.