You are building a model and need input that represents data as morning, afternoon, or...

Detailed Answer in Step-by-Step Solution:

Objective: Locate the lifecycle stage for transforming timestamps into categories.

Understand Lifecycle:

Model Type Selection: Choosing algorithms—post-data prep.

Model Validation: Evaluating performance—post-training.

Data Access: Retrieving raw data—pre-transformation.

Feature Engineering: Creating new features—correct.

Evaluate Options:

A: Too late—incorrect.

B: Post-model—incorrect.

C: Pre-transformation—incorrect.

D: Feature creation—correct.

Reasoning: Converting timestamps to time periods is feature engineering.

Conclusion: D is correct.

OCI documentation states: “Feature engineering (D) transforms raw data, such as timestamps into categorical variables (e.g., morning/afternoon), to enhance model inputs.” A, B, and C occur at different stages—only D fits OCI’s lifecycle for this task.

Oracle Cloud Infrastructure Data Science Documentation, "Feature Engineering Stage".