Describe a Decision with Incomplete Information

Q: Describe a Decision with Incomplete Information

This is a Behavioral & Leadership interview question from Amazon for Machine Learning Engineer roles. View the full question and solution on PracHub.

Q: How do I approach Behavioral & Leadership interview questions?

Behavioral & Leadership questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master behavioral & leadership interviews.

Question

Behavioral Prompt: Decision-Making With Incomplete Information (Machine Learning Engineer)

You are in an onsite behavioral round for a Machine Learning Engineer role. Provide a concise, data-informed example (2–3 minutes) using a structured format (e.g., STAR). Quantify impact where possible.

Prompt

Tell me about a time you made a decision without complete information. Please cover:

Situation and context: What was the goal, timeline, and stakeholders?
Ambiguity/missing data: What was uncertain or unavailable (e.g., labels, coverage, baselines)?
Options considered: At least two viable alternatives.
Risks and trade-offs: Customer/business impact, tech debt, latency/cost, fairness, compliance.
Assumptions: What did you assume and why they were reasonable.
De-risking: Experiments, canary/shadow, guardrails, fallback plans.
Measurement: Success metrics, monitoring, and time horizon.
Reflection: Outcomes and what you would do differently in hindsight.

Describe a Decision with Incomplete Information

Behavioral Prompt: Decision-Making With Incomplete Information (Machine Learning Engineer)

Prompt

Solution (Locked)

Comments (0)