Decagon Interview Questions
The questions to prepare for Decagon interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
DecagonSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Explain how you manage scope changes during development without losing delivery control, stakeholder alignment, or product quality.
DecagonApproach for building data pipelines that scale in throughput, reliability, and operational visibility.
DecagonDesign a recommendation system that uses user behavior to retrieve, rank, and re-rank items at scale.
DecagonTests your ability to select metrics, validation strategy, and interpret results for ML models.
DecagonExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
DecagonTests your ability to improve retrieval quality through document preprocessing choices.
DecagonAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreUse joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.
QlikClean raw status text with TRIM and LOWER, filter unusable rows, and count usable events by cleaned status.
Databricks