Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 6 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01

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[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

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An ML engineer needs to use Amazon SageMaker Feature Store to create and manage features to train a model.
Select and order the steps from the following list to create and use the features in Feature Store. Each step should be selected one time. (Select and order three.)
• Access the store to build datasets for training.
• Create a feature group.
• Ingest the records.

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by AzureDP900 at Feb. 18, 2025, 3:26 a.m.

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AzureDP900

2 weeks ago

To create and manage features using Amazon SageMaker Feature Store, follow these steps: 1)Create a feature group : Organize your features by defining a feature group. 2)Ingest the records : Load the data into the feature group. 3)Access the store to build datasets for training : Retrieve the data from the feature group to prepare for model training.

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 6 discussion

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AzureDP900

SY0-701