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Exam AWS Certified Data Analytics - Specialty topic 1 question 159 discussion

Exam question from Amazon's AWS Certified Data Analytics - Specialty
Question #: 159
Topic #: 1
[All AWS Certified Data Analytics - Specialty Questions]

A company stores revenue data in Amazon Redshift. A data analyst needs to create a dashboard so that the company's sales team can visualize historical revenue and accurately forecast revenue for the upcoming months.
Which solution will MOST cost-effectively meet these requirements?

  • A. Create an Amazon QuickSight analysis by using the data in Amazon Redshift. Add a custom field in QuickSight that applies a linear regression function to the data. Publish the analysis as a dashboard.
  • B. Create a JavaScript dashboard by using D3.js charts and the data in Amazon Redshift. Export the data to Amazon SageMaker. Run a Python script to run a regression model to forecast revenue. Import the data back into Amazon Redshift. Add the new forecast information to the dashboard.
  • C. Create an Amazon QuickSight analysis by using the data in Amazon Redshift. Add a forecasting widget Publish the analysis as a dashboard.
  • D. Create an Amazon SageMaker model for forecasting. Integrate the model with an Amazon QuickSight dataset. Create a widget for the dataset. Publish the analysis as a dashboard.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by rb39 at April 21, 2022, 11:15 a.m.
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CHRIS12722222
Highly Voted 3 years ago
C https://docs.aws.amazon.com/quicksight/latest/user/forecasts-and-whatifs.html
upvoted 9 times
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pk349
Most Recent 2 years ago
C: I passed the test
upvoted 1 times
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rocky48
2 years, 9 months ago
Selected Answer: C
Option C
upvoted 2 times
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Bik000
2 years, 11 months ago
Selected Answer: C
C should be Correct
upvoted 2 times
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rb39
3 years ago
Selected Answer: C
C, per https://docs.aws.amazon.com/quicksight/latest/user/forecasts-and-whatifs.html
upvoted 3 times
astalavista1
3 years ago
Agree C is the most-cost effective.
upvoted 1 times
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