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Anadarko Petroleum Interview Questions

The questions to prepare for Anadarko Petroleum interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
Machine LearningStart here. 9 questions · ~73 min
Bias-Variance Tradeoff in PracticeMedium

Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationAnadarko Petroleum
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2
Behavioral & Leadership33 questions · ~267 min
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3
More topics8 questions · ~65 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchAnadarko Petroleum
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisAnadarko Petroleum
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesAnadarko Petroleum
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueAnadarko Petroleum
SQL Window Functions RankingMedium

Tests SQL mastery with window functions for analytics-style computations.

Window FunctionsRankingRunning TotalsAnadarko Petroleum
Parse Logs for Error MetricsMedium

Tests ability to build reliable data parsing scripts for operational signals.

log parsingAutomationdata validationAnadarko Petroleum
Define Metrics for a Customer TestHard

Define the primary metric, guardrails, and power for a customer-facing A/B test before deciding whether to ship.

ExperimentationGuardrail MetricsA/B TestingAnadarko Petroleum
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
Monthly Revenue Running Totals by RegionMedium
Practice
Practice drill

Use joins, monthly aggregation, and window functions to compute running revenue totals and customer rank by region.

Window FunctionsRankingRunning TotalsNTT DATAAppfolio
Rolling 7-Day SQL RankingMedium
Practice
Practice drill

Compute calendar-based 7-day signal averages and rank NASA instruments within each mission group.

Window FunctionsRankingRunning TotalsNASANextera Energy Resources
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