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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 366 discussion

A company has 2,000 retail stores. The company needs to develop a new model to predict demand based on holidays and weather conditions. The model must predict demand in each geographic area where the retail stores are located.

Before deploying the newly developed model, the company wants to test the model for 2 to 3 days. The model needs to be robust enough to adapt to supply chain and retail store requirements.

Which combination of steps should the company take to meet these requirements with the LEAST operational overhead? (Choose two.)

  • A. Develop the model by using the Amazon Forecast Prophet model.
  • B. Develop the model by using the Amazon Forecast holidays featurization and weather index.
  • C. Deploy the model by using a canary strategy that uses Amazon SageMaker and AWS Step Functions.
  • D. Deploy the model by using an A/B testing strategy that uses Amazon SageMaker Pipelines.
  • E. Deploy the model by using an A/B testing strategy that uses Amazon SageMaker and AWS Step Functions.
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Suggested Answer: BC 🗳️

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Togy
1 week ago
Selected Answer: AB
Copied from ChatGPT Given the constraints of minimizing operational overhead and the need for testing, the best deployment approach is to utilize the testing and evaluation features that are built into Amazon Forecast. Amazon Forecast allows for backtesting, which uses historical data to evaluate the performance of a forecasting model. This built in functionality provides the testing that is asked for, without the overhead of setting up a complex deployment strategy. Therefore, the correct combination is: A. Develop the model by using the Amazon Forecast Prophet model. B. Develop the model by using the Amazon Forecast holidays featurization and weather index. Because these two options are used together, and Amazon forecast has built in testing, there is no need to add another deployment option.
upvoted 1 times
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italiancloud2025
4 weeks, 1 day ago
Selected Answer: BC
A. No, porque usar Prophet sin incorporar la featurización integrada de feriados y clima no optimiza la predicción para este caso. B. Sí, porque Amazon Forecast con featurización de feriados y clima integra esos factores de forma nativa y reduce el esfuerzo de modelado. C. Sí, porque una estrategia canary con SageMaker y Step Functions permite probar el modelo de forma gradual y con poco esfuerzo operativo. D. No, porque implementar A/B testing con SageMaker Pipelines añade complejidad adicional innecesaria para una prueba de pocos días. E. No, porque la estrategia A/B con SageMaker y Step Functions implica más sobrecarga operativa en comparación con una implementación canary.
upvoted 1 times
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CloudGyan
2 months ago
Selected Answer: BE
Company want to test it for 2-3 days
upvoted 1 times
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7f1fe73
4 months, 2 weeks ago
Selected Answer: BE
BE for relevant features, E for simplicity
upvoted 2 times
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MultiCloudIronMan
4 months, 2 weeks ago
Selected Answer: BC
These steps ensure that the model is developed with relevant features and deployed in a way that minimizes operational risks and overhead.
upvoted 2 times
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