High Governance Question 184 of 221

What controls would you put around a model that affects credit decisions in India?

MLOps track · Speak this in 60–90 seconds · Faridabad & Delhi NCR

PICTURE THIS: DATA SPLIT

Train 70%Val 15%Test 15%

Fit on train, tune on val, report on test once.

Simple meaning

Versioned training data with access logs, documented features, fairness slices, human approval, and a registry that cannot be silently overwritten.

WHY — Governance instead of guessing?

Why interviewers care about Governance:

Governance questions separate people

who only read docs from people who shipped.

Keep it short, concrete,

and tied to MLOps work.

Stay structured

Name the idea, why it exists, then one short example.

Close cleanly

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:

1
Versioned training data with
access logs, documented features, fairness slices, human approval, and a registry that cannot be silently overwritten.
2
Prediction logs with retention
aligned to RBI-style audit needs, plus a rollback plan.
3
Explainability reports for the
deployed version belong next to the artifact.
4
Give an example
One tiny concrete case you can say aloud.
5
Common mistake
What juniors usually get wrong.
6
Close
When you pick this over the alternative.

EXAMPLE — See it in action

Here's a short line you can speak, broken into clear beats:

Say this line

“Prediction logs with retention aligned to RBI-style audit needs, plus a rollback”

Break into beats

Predictionlogswithretentionalignedto

Speaking order

2987408337471632900

Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.

Key takeaway

Versioned training data with access logs, documented features, fairness slices, human approval, and a registry that cannot be silently overwritten. Prediction logs with retention aligned to RBI-style audit needs, plus a rollback plan.