Analytics Core (Practitioner) Exam Blueprint
The Analytics 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 6 domains: Warehouse-native Experimentation, Exploration, Reporting and Visualization, Integration, Data and Semantics and Collaboration and Configuration. 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
| MCQ | Scenario | Rationale | |
|---|---|---|---|
| Count | 30 | 1 | 1 |
| 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
Warehouse-native Experimentation
Topics covered:Experiment ScorecardSummary TabExplore TabConversion WindowsCategory Based Metric SelectionStatistical MethodsSequential Testing Stats EngineFrequentist Fixed HorizonBayesian StatisticsCupedOutlier ManagementSample Ratio Mismatch Srm DetectionDelta MethodData IntegrityVisitor Id Consistency ChecksAssignment Overlap DetectionExperiment On AnythingGuardrail Alerts
Exploration
Topics covered:Event SegmentationEvent Selection MeasuresShow Over Time Drill Down BeelinesSeries Level Color LabelingExperiment Segmentation ModeFunnel AnalysisMulti Step Funnel DefinitionCount Percentage ToggleMulti Stage ComparisonTime Between Stages DistributionTop N SegmentsRetention AnalysisRetention ExplorationBreakdown ChartPath AnalysisPath ExplorationImpact AnalysisImpact ExplorationTop N Segments In ImpactInfluence AnalysisInfluence ExplorationUniversal ExplorationMulti Metric AnalysisPeriod Over Period ComparisonsSql ExplorerSql Query EditorFull Charting For SqlNetscript ExplorerNetscript Query EditorNetscript Function Library
Reporting and Visualization
Topics covered:Chart TypesLine ChartsBar ChartsPivot TablesTablesSparklinesFunnel ChartsRetention ChartsPath DiagramsChart Settings ControlsRefreshed Chart Settings UiVisibility ControlsRounding Number FormattingIn Chart Percentage ToggleChart ZoomChart Highlights On HoverChart Legend ImprovementsIncreased Color CoordinationEntity FiltersProperty FiltersTime FiltersArray Field FilteringSegmentation By CohortsSegmentation By PropertiesComma Separated Value PasteCount Count DistinctSumAverageMedianPercentileMin MaxMoving AggregationsQuarterly Time GrainsQtd Mtd Wtd PresetsRelative Date RangesAbsolute Date RangesPeriod Over Period ComparisonsDashboard CreationSupported TilesRich Text TilesDashboard Filter Parameter PersistenceLink All ControlsEager LoadingAdd Tiles Across DashboardsSearchable Dashboard TilesInfinite Beelines
Integration
Topics covered:Data Warehouse ConnectionsSnowflake ConnectorGoogle Bigquery ConnectorAmazon Redshift ConnectorDatabricks ConnectorAdvanced Connection ConfigurationOpal Chat For AnalyticsAi Exploration GeneratorAi Exploration SummaryOpal Knowledge ExpansionOpal System Tools OafindmetricsOpal System Tools OalistappsOpal System Tools OagetmetricdataOpal System Tools OafinddatasetsOptimizely Analytics Mcp Server
Data and Semantics
Topics covered:DatasetsSource DatasetsDerived DatasetsUnion DatasetsDecision DatasetsColumn Actor DatasetsSlowly Changing Dimension Scd2 TablesPrimary Key Uniqueness ValidationEvent TaxonomyEvent OrganizationCustom EventsMetadata From WarehouseRich Text DescriptionsJson Field SupportEntity ModelingRelational Data ModelingActor DefinitionDataset RelationshipsReusable MetricsSimple Aggregation MetricsConversion MetricsNumeric Aggregation MetricsRatio MetricsFormula Calculated MetricsMetric PresetsSave Metric From Block ShelfCohortsBehavioral CohortsProperty Based CohortsDerived ColumnsBlock Based Derived ColumnsSave Derived Column From Block ShelfBlocks Analytical Building BlocksAttribution BlockBehavioral Cohort BlockBin BlockEvent Aggregation BlockFilter BlockFiltered Event BlockFormula Block NetscriptGroup By BlockIfthenelse BlockIntervals Engaged BlockMoving Aggregation BlockPeriod Vs Previous Period BlockPreviousnext Value Lookup BlockProperty BlockRank BlockRetention Cohort BlockAggregate BlockAlias BlockAndor BlockBlock Editor
Collaboration and Configuration
Topics covered:Comments MentionsShare Explorations DashboardsDrafts EditsCsv DownloadFavoritesRules Based AlertsAlert InboxDelivery ChannelsMonitoring ServiceIndividual User LookupUser Journey Timeline