DAS-C01 · Question #63
A company wants to use an automatic machine learning (ML) Random Cut Forest (RCF) algorithm to visualize complex real-word scenarios, such as detecting seasonality and trends, excluding outers, and…
The correct answer is B. Use Amazon QuickSight to visualize the data and then use ML-powered forecasting to forecast. Amazon QuickSight has a built-in ML-powered forecasting feature that natively uses the Random Cut Forest (RCF) algorithm. It handles seasonality detection, trend analysis, outlier exclusion, and missing value imputation with no code or ML expertise required - just…
Question
A company wants to use an automatic machine learning (ML) Random Cut Forest (RCF) algorithm to visualize complex real-word scenarios, such as detecting seasonality and trends, excluding outers, and imputing missing values. The team working on this project is non-technical and is looking for an out-of-the-box solution that will require the LEAST amount of management overhead. Which solution will meet these requirements?
Options
- AUse an AWS Glue ML transform to create a forecast and then use Amazon QuickSight to
- BUse Amazon QuickSight to visualize the data and then use ML-powered forecasting to forecast
- CUse a pre-build ML AMI from the AWS Marketplace to create forecasts and then use Amazon
- DUse calculated fields to create a new forecast and then use Amazon QuickSight to visualize the
How the community answered
(37 responses)- A8% (3)
- B73% (27)
- C3% (1)
- D16% (6)
Explanation
Amazon QuickSight has a built-in ML-powered forecasting feature that natively uses the Random Cut Forest (RCF) algorithm. It handles seasonality detection, trend analysis, outlier exclusion, and missing value imputation with no code or ML expertise required - just point-and-click. Options A and C require managing additional services (Glue ML transforms or a Marketplace AMI), adding operational overhead. Option D uses calculated fields, which are manual formulas and not the RCF algorithm. QuickSight's native ML forecasting is the zero-management solution.
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