nerdexam
Amazon

MLS-C01 · Question #236

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…

The correct answer is C. Use Contact Lens for Amazon Connect to process audio calls to produce transcripts, categorize. Contact Lens for Amazon Connect is a purpose-built, fully managed service that provides all four required features out of the box with no custom model training: (1) real-time and post-call transcription in multiple languages, (2) automatic call categorization using rules, (3)…

ML Implementation and Operations

Question

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?

Options

  • AUse Amazon Transcribe to process audio calls to produce transcripts, categorize calls, and detect
  • BUse Amazon Transcribe to process audio calls to produce transcripts. Use Amazon Comprehend
  • CUse Contact Lens for Amazon Connect to process audio calls to produce transcripts, categorize
  • DUse Contact Lens for Amazon Connect to process audio calls to produce transcripts. Use

How the community answered

(41 responses)
  • A
    7% (3)
  • B
    12% (5)
  • C
    78% (32)
  • D
    2% (1)

Explanation

Contact Lens for Amazon Connect is a purpose-built, fully managed service that provides all four required features out of the box with no custom model training: (1) real-time and post-call transcription in multiple languages, (2) automatic call categorization using rules, (3) issue and theme detection, and (4) per-utterance sentiment analysis with positive/negative scoring. Options A and B require piecing together Amazon Transcribe and Amazon Comprehend separately and wiring up categorization and issue detection manually. Option D is similar to C but adds unnecessary extra components. Contact Lens delivers the integrated solution with the least operational and development overhead.

Topics

#Contact Lens for Amazon Connect#Call Center Analytics#Sentiment Analysis#Natural Language Processing

Community Discussion

No community discussion yet for this question.

Full MLS-C01 Practice