Amazon

MLA-C01 practice question 2

AWS Certified Machine Learning Engineer - Associate (MLA-C01) · free question 2 of 20

Question

HOTSPOT - 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.

Explanation

According to AWS documentation, creating and using features in Amazon SageMaker Feature Store involves first defining a schema by creating a feature group, then ingesting data into this defined structure, and finally accessing the stored features to build training datasets. This sequence ensures that the feature store is properly configured before data ingestion and usage for model training.

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