Oracle Cloud Infrastructure 2025 Data Science Professional 1z0-1110-25 Question # 16 Topic 2 Discussion
1z0-1110-25 Exam Topic 2 Question 16 Discussion:
Question #: 16
Topic #: 2
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many sub-folders and classes. What is the best way to run this project as a Job?
A.
ZIP the entire code project folder and upload it as a Job artifact. Jobs automatically identifies the main top-level where the code is run
B.
Rewrite your code so that it is a single executable Python or Bash/Shell script file
C.
ZIP the entire code project folder and upload it as a Job artifact on job creation. Jobs identifies the main executable file automatically
D.
ZIP the entire code project folder, upload it as a Job artifact on job creation, and set JOB_RUN_ENTRYPOINT to point to the main executable file
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".
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit