What is a Dockerfile in a model serving project?
PICTURE THIS: DATA SPLIT
Fit on train, tune on val, report on test once.
Simple meaning
A Dockerfile is the recipe that copies your serving code, installs requirements, and sets the start command such as uvicorn.
WHY — Docker instead of guessing?
Why interviewers care about Docker:
who only read docs from people who shipped.
and tied to MLOps work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1A Dockerfile is the
recipe that copies your serving code, installs requirements, and sets the start command such as uvicorn.
- 2Multi-stage builds keep the
final image small by leaving compilers in a builder stage.
- 3Interviewers like hearing that
you pin base image tags, not latest.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
A Dockerfile is the recipe that copies your serving code, installs requirements, and sets the start command such as uvicorn. Multi-stage builds keep the final image small by leaving compilers in a builder stage.