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

Explanation: Create a feature group: You first define the schema (features) of your dataset. Ingest the records: Populate the feature group with data. Access the store to build datasets for training: Retrieve the ingested data to use in training models.

Correct Steps (In Order): ✅ 1. Create a feature group. ✅ 2. Ingest the records. ✅ 3. Access the store to build datasets for training. Why? 1️⃣ Create a Feature Group → Defines schema & storage for feature data. 2️⃣ Ingest Records → Stores data in the feature group. 3️⃣ Access Store → Retrieves features for model training. Keywords to Remember: ✅ Feature Group → Defines structure ✅ Ingest Records → Store features ✅ Access Store → Retrieve for training

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.