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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 56 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 56
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?

  • A. Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
  • B. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
  • C. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
  • D. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
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Suggested Answer: D 🗳️
by jove at Nov. 9, 2024, 10:09 p.m.
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Moon
1 week, 1 day ago
Selected Answer: D
Amazon SageMaker Canvas is a no-code machine learning service that allows users without coding or ML expertise to build predictive models. It enables the company to import data, perform analysis, and build ML models through an easy-to-use graphical interface. This makes it ideal for businesses with limited technical expertise but a need for data-driven predictions.
upvoted 1 times
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Blair77
1 month, 4 weeks ago
Selected Answer: D
D - SageMaker Canvas is designed for users without coding experience or deep knowledge of ML algorithms. It provides a visual interface for building ML models.
upvoted 3 times
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jove
2 months ago
Selected Answer: D
The company does not have coding experience or knowledge of ML >> Sagemaker Canvas
upvoted 2 times
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