You have a complex Python code project that could benefit from using Data Science Jobs...

Detailed Answer in Step-by-Step Solution:

Objective: Run a complex Python project as an OCI Job.

Evaluate Options:

A: Auto-identification—False; entrypoint must be set.

B: Rewrite—Unnecessary, inefficient.

C: Auto-executable—False; needs explicit entrypoint.

D: ZIP with entrypoint—Correct, flexible approach.

Reasoning: D preserves structure, specifies execution.

Conclusion: D is correct.

OCI documentation states: “For complex projects, ZIP the folder and upload as a Job artifact, then set JOB_RUN_ENTRYPOINT (D) to the main executable (e.g., main.py).” Auto-detection (A, C) isn’t supported, and B discards structure—D is best.

Oracle Cloud Infrastructure Data Science Documentation, "Job Artifacts".