MLA-C01 exam dumps

MLA-C01 practice question 136 of 458

AWS Certified Machine Learning Engineer - Associate. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

MLA-C01 Question 136

Select 2

A multinational company wants to automate the process of analyzing customer feedback collected in multiple languages to improve their products and services. The company requires:

  1. Translated customer feedback into English for analysis.
  2. Identification of key sentiments (positive, negative, neutral) in the feedback.
  3. Extraction of key phrases from the feedback to highlight topics of concern. Which combination of AWS AI services should the company use to achieve these goals?
  1. A

    Amazon Translate, Amazon Comprehend

  2. B

    Amazon Rekognition, Amazon Translate

  3. C

    Amazon Transcribe, Amazon Comprehend

  4. D

    Amazon Comprehend, Amazon Bedrock

  5. E

    Amazon Translate, Amazon Transcribe, Amazon Comprehend

Show answer and explanation

Correct answers: A, E

Explanation

To solve the business problem, the company requires a combination of translation, sentiment analysis, and key phrase extraction capabilities. Amazon Translate and Amazon Comprehend together address all aspects of the problem for text-based feedback. If the feedback includes audio data, Amazon Transcribe can be added to convert speech into text before translation and analysis. Other services like Amazon Rekognition and Amazon Bedrock are not relevant to the specific requirements.

  • A. Correct.

    Amazon Translate can be used to translate customer feedback into English, and Amazon Comprehend can analyze the translated text for sentiment and key phrase extraction. This combination directly addresses the requirements.

  • B. Incorrect.

    Amazon Rekognition is used for image and video analysis, which is not relevant to analyzing text-based customer feedback.

  • C. Incorrect.

    Amazon Transcribe is designed for converting speech to text, and while useful for audio-based feedback, it is not relevant unless the feedback is in audio format.

  • D. Incorrect.

    Amazon Bedrock provides access to foundational models for generative AI, but it does not directly address translation or sentiment analysis in this scenario.

  • E. Correct.

    Amazon Translate can handle translation, Amazon Transcribe can convert audio feedback to text (if needed), and Amazon Comprehend can analyze the text for sentiment and key phrases. This combination works if the feedback includes audio data.

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