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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

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 366
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

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.
Show Suggested Answer Hide Answer
Suggested Answer: BC 🗳️
by MultiCloudIronMan at Oct. 30, 2024, 10:46 p.m.
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7f1fe73
2 weeks ago
Selected Answer: BE
BE for relevant features, E for simplicity
upvoted 1 times
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MultiCloudIronMan
2 weeks, 1 day 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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