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Program overview

Feature Experimentation Core (Practitioner) Exam Blueprint

The Feature Experimentation Core (Practitioner) exam has 30 multiple-choice questions, one scenario and one rationale question. You have 75 minutes and need 70% overall to pass. It covers 7 domains: Experimentation Fundamentals and Setup, Statistical Analysis and Results Interpretation, Feature Flags and Server-Side Experimentation, Audience Targeting and Segmentation, Advanced Experimentation Strategies, Visual Editing and Web Experimentation and Data Integration and Analytics. You need Optimizely Foundations first. Certifications are valid for about one year.

This exam is for
Practitioner
Executes campaigns, experiments, and platform workflows

You work hands-on in the product every day — creating content, launching campaigns, running experiments, and moving work through platform workflows. This exam confirms you can carry out those operational tasks confidently and interpret their results, without needing to configure the platform or write code.

Typical rolesEnd UsersMarketersContent EditorsMerchandisersCRO SpecialistsProject Managers
Question types & scoring
MCQScenarioRationale
Count3011
Min pass≥70%≥65%≥65%
70% overall to pass · 32 items total
Domains
7
weighted areas
Time limit
75 min
 
Attempts
3
per quarter
Retake
2 days
cooldown if not passed

Experimentation Fundamentals and Setup

30% weight~9 questions
Topics covered:A B TestingExperiment CreationHypothesis TestingGoal ConfigurationExperiment VariationsTraffic AllocationEvent TrackingMetric Configuration

Statistical Analysis and Results Interpretation

20% weight~6 questions
Topics covered:Statistical AnalysisStats EngineConfidence IntervalsResults InterpretationData VisualizationExperiment AnalyticsSample Ratio MismatchOutlier Detection

Feature Flags and Server-Side Experimentation

20% weight~6 questions
Topics covered:Feature FlagsSdk IntegrationServer Side ExperimentationProgressive RolloutKill SwitchesFeature VariablesFlag EvaluationUser ContextForced DecisionsEnvironment Management

Audience Targeting and Segmentation

10% weight~3 questions
Topics covered:Audience TargetingUser ContextVisitor GroupsGeo TargetingBehavioral TargetingCustom AttributesReal Time SegmentsContent Personalization

Advanced Experimentation Strategies

5% weight~2 questions
Topics covered:CmabMachine LearningMulti Armed BanditsStats AcceleratorMutual ExclusionTraffic RampingOptimization Methodology

Visual Editing and Web Experimentation

5% weight~2 questions
Topics covered:Visual EditorExperiment CreationClient Side SnippetSnippet DeploymentPerformanceEdge Delivery

Data Integration and Analytics

10% weight~3 questions
Topics covered:Event TrackingAnalytics IntegrationEvent DispatchingCustom MetricsData IntegrationBigquery ExportEvents ExportThird Party Analytics