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Exam AWS Certified Database - Specialty topic 1 question 162 discussion

Exam question from Amazon's AWS Certified Database - Specialty
Question #: 162
Topic #: 1
[All AWS Certified Database - Specialty Questions]

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?

  • A. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon Comprehend to run sentiment analysis on the exported files.
  • B. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon SageMaker to run sentiment analysis on the exported files.
  • C. Set up Aurora native integration with Amazon Comprehend. Use SQL functions to extract sentiment analysis.
  • D. Set up Aurora native integration with Amazon SageMaker. Use SQL functions to extract sentiment analysis.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by hemantr at Nov. 13, 2021, 7:29 a.m.
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shammous
2 years, 9 months ago
Selected Answer: C
"When you run an ML query, Aurora calls Amazon SageMaker for a wide variety of ML algorithms or Amazon Comprehend for sentiment analysis". Ref: https://aws.amazon.com/getting-started/hands-on/sentiment-analysis-amazon-aurora-ml-integration/
upvoted 3 times
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novice_expert
3 years, 1 month ago
Selected Answer: C
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-ml.html Aurora machine learning uses a highly optimized integration between the Aurora database and the AWS machine learning (ML) services SageMaker and Amazon Comprehend.
upvoted 1 times
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tugboat
3 years, 3 months ago
Selected Answer: C
Comprehend is a simple ML solution and takes the least effort
upvoted 2 times
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mnzsql365
3 years, 5 months ago
C for me
upvoted 1 times
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nood
3 years, 6 months ago
C for me For details about using Aurora and Amazon Comprehend together, see Using Amazon Comprehend for sentiment detection. Aurora machine learning uses a highly optimized integration between the Aurora database and the AWS machine learning (ML) services SageMaker and Amazon Comprehend.
upvoted 1 times
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jelongpark
3 years, 6 months ago
Ans C. All answers are available. The Minimum amount of effort is the key.
upvoted 1 times
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[Removed]
3 years, 6 months ago
Answer A. Comprehend is a simple ML solution and takes the least effort
upvoted 1 times
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hemantr
3 years, 6 months ago
Ans C https://www.stackovercloud.com/2019/11/27/new-for-amazon-aurora-use-machine-learning-directly-from-your-databases/
upvoted 1 times
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B (20%)
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