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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 11 discussion

A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?

  • A. Amazon SageMaker Feature Store
  • B. Amazon SageMaker Data Wrangler
  • C. Amazon SageMaker Clarify
  • D. Amazon SageMaker Model Cards
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Suggested Answer: A 🗳️

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galliaj
Highly Voted 3 months ago
Amazon SageMaker Feature Store ensures all teams have access to a centralized store of features, improving consistency and collaboration in ML workflows.
upvoted 7 times
elf78
2 months, 1 week ago
https://aws.amazon.com/sagemaker/feature-store/
upvoted 1 times
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85b5b55
Most Recent 1 week ago
Selected Answer: A
Amazon SageMaker Feature Store helps to create, store, share, manage features that are used in ML models.
upvoted 1 times
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Moon
1 month, 1 week ago
Selected Answer: A
A: Amazon SageMaker Feature Store Explanation: Amazon SageMaker Feature Store is a purpose-built repository for storing, sharing, and managing features (variables) used in machine learning models. It allows teams to collaborate effectively by providing a centralized location for storing and accessing features across multiple ML workflows, ensuring consistency and reusability.
upvoted 1 times
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Nicocacik
2 months ago
Selected Answer: A
A- Sagemaker Feature Store
upvoted 1 times
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jove
3 months ago
Selected Answer: A
A. Amazon SageMaker Feature Store
upvoted 2 times
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