Ant Group Interview Questions
The questions to prepare for Ant Group interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
Walk through how you led a regulated product launch from idea to market, including planning, stakeholder alignment, risks, and success metrics.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Optimize a PostgreSQL transaction query that filters, aggregates, ranks, and returns top merchants efficiently on large tables.
Sprinter Health
SentiLink
AutodeskOptimize a PostgreSQL aggregation query for active accounts while preserving date filtering, joins, and usage thresholds.
IBMOptimize a PostgreSQL query over millions of event rows using selective predicates, indexing, joins, and latest-row selection.
Okta
Ernst & Young