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Program overview

Feature Experimentation Core (Solutions Architect) Exam Blueprint

The Feature Experimentation Core (Solutions Architect) exam has 30 multiple-choice questions, one scenario and one rationale question. You have 75 minutes and need 70% overall to pass. It covers 5 domains: Experimentation Fundamentals and Setup, 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
Solutions Architect
Designs systems and integration strategy

You design how Optimizely products fit together — integration patterns, data flow between systems, and deployment topologies. This exam confirms architectural decision-making and trade-off evaluation; you can read code and understand APIs, but you are assessed on designing sound cross-product solutions, not on writing production code.

Typical rolesPlatform ArchitectsPre-Sales EngineersTechnical ConsultantsDevOps
Question types & scoring
MCQScenarioRationale
Count3011
Min pass≥70%≥65%≥65%
70% overall to pass · 32 items total
Domains
5
weighted areas
Time limit
75 min
 
Attempts
3
per quarter
Retake
2 days
cooldown if not passed

Experimentation Fundamentals and Setup

8% weight~2 questions
Topics covered:A B TestingExperiment CreationHypothesis TestingGoal ConfigurationExperiment VariationsTraffic AllocationEvent TrackingMetric Configuration

Feature Flags and Server-Side Experimentation

40% weight~12 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

25% weight~8 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