SAA-C03 Question

Question

Hi AWS,

There is a question in one of the practice tests i.e.

A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiple speaker recognition and generates transcript files. The company wants to query the transcript files to analyze the business patterns. The transcript files must be stored for 7 years for auditing purposes.

Which solution will meet these requirements?

A. Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use machine learning models for transcript file analysis.
B. Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena for transcript file analysis.
C. Use Amazon Translate for multiple speaker recognition. Store the transcript files in Amazon Redshift. Use SQL queries for transcript file analysis.
D. Use Amazon Rekognition for multiple speaker recognition. Store the transcript files in Amazon S3. Use Amazon Textract for transcript file analysis.

As per me the correct answer is (B) but it is showing (C).

Can someone please let me know why it is (C) if that's the correct answer.

Answer

Hi Arjun,

Use the elimination technique in multiple choice questions. It helps most of the time.

In this case, Amazon Rekognition is to extract information and insights from your images and videos. Amazon Translate is a text language translation service.

Amazon Transcribe is the one uses automatic speech recognition and convert speech to text as transcribe files.

SAA-C03 Question

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