MLS-C01 Exploratory Data Analysis Practice Question

Drag and drop the steps to use Amazon SageMaker Feature Store for feature engineering in the correct order.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps

Order

1Step 1

2Step 2

3Step 3

4Step 4

5Step 5

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

1. Define feature group, 2. Ingest data, 3. Query features, 4. Train model, 5. Maintain feature store

Feature Store involves defining group, ingesting, querying, training, and maintaining.

Answer analysis

For each option: why learners choose it and why it is or isn't the right answer here.

✓
1. Define feature group, 2. Ingest data, 3. Query features, 4. Train model, 5. Maintain feature store
Why this is correct
This is correct because you must first define the feature group schema, then ingest data, query features for training, train the model, and finally maintain the store.
✗
1. Define feature group, 2. Query features, 3. Ingest data, 4. Train model, 5. Maintain feature store
Why it's wrong here
Incorrect because you cannot query features before data is ingested into the feature group.
✗
1. Ingest data, 2. Define feature group, 3. Query features, 4. Train model, 5. Maintain feature store
Why it's wrong here
Incorrect because the feature group must exist before data can be ingested into it.
✗
1. Define feature group, 2. Ingest data, 3. Train model, 4. Query features, 5. Maintain feature store
Why it's wrong here
Incorrect because you must query features from the store to create the training dataset before training.

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