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Program overview

Feature Experimentation Core (Developer) Exam Blueprint

The Feature Experimentation Core (Developer) exam has 30 multiple-choice questions, one scenario and one rationale question. You have 75 minutes and need 70% overall to pass. It covers 6 domains: Experimentation Fundamentals and Setup, Statistical Analysis and Results Interpretation, Feature Flags and Server-Side Experimentation, Audience Targeting and Segmentation, Advanced Experimentation Strategies and Data Integration and Analytics. You need Optimizely Foundations first. Certifications are valid for about one year.

This exam is for
Developer
Implements solutions — builds and ships production code

You build and ship — implementing features with the SDKs and APIs, configuring the platform as code, and debugging real integrations. This exam confirms hands-on implementation skill: knowing the actual API surface, SDK patterns, and development workflows, not just the underlying concepts.

Typical rolesFront-end EngineersBack-end EngineersFull-stack Engineers
Question types & scoring
MCQScenarioRationale
Count3011
Min pass≥70%≥65%≥65%
70% overall to pass · 32 items total
Domains
6
weighted areas
Time limit
75 min
 
Attempts
3
per quarter
Retake
2 days
cooldown if not passed

Experimentation Fundamentals and Setup

20% weight~6 questions
Topics covered:A B TestingExperiment CreationHypothesis TestingGoal ConfigurationExperiment VariationsTraffic AllocationEvent TrackingMetric Configuration

Statistical Analysis and Results Interpretation

5% weight~2 questions
Topics covered:Statistical AnalysisStats EngineConfidence IntervalsResults InterpretationData VisualizationExperiment AnalyticsSample Ratio MismatchOutlier Detection

Feature Flags and Server-Side Experimentation

38% weight~11 questions
Topics covered:Feature FlagsSdk IntegrationServer Side ExperimentationProgressive RolloutKill SwitchesFeature VariablesFlag EvaluationUser ContextForced DecisionsEnvironment Management

Audience Targeting and Segmentation

15% weight~5 questions
Topics covered:Audience TargetingUser ContextVisitor GroupsGeo TargetingBehavioral TargetingCustom AttributesReal Time SegmentsContent Personalization

Advanced Experimentation Strategies

10% weight~3 questions
Topics covered:CmabMachine LearningMulti Armed BanditsStats AcceleratorMutual ExclusionTraffic RampingOptimization Methodology

Data Integration and Analytics

12% weight~4 questions
Topics covered:Event TrackingAnalytics IntegrationEvent DispatchingCustom MetricsData IntegrationBigquery ExportEvents ExportThird Party Analytics