Informatica Data Integration, Intelligent Cloud Services

Informatica Data Integration, Intelligent Cloud Services
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This test measures your knowledge of Informatica Cloud Services Data and Application Integration. Measured areas include Informatica Cloud architecture, data integration features, data synchronization, cloud mapping designer, data masking, and data replication. It will test your knowledge of integrating applications and systems, the implementation of business processes, using the process designer, and exposing composite APIs. You may select from one or more response offerings to answer a question. The test will contain 135 questions comprised of topics that span across the sections below. Module 1: Informatica Cloud OverviewInformatica Intelligent Cloud Services (IICS) as an iPaaS solutionInformatica Cloud TerminologiesInformatica Cloud ArchitectureCDI AssetsCDI ComponentsLab: Navigating the IICS interfaceModule 2: Runtime Environments and ConnectionsRuntime EnvironmentsSecure Agent ArchitectureIICS Log FilesConnectionsConnection TypesCreating ConnectionsLab: Installing IICS Secure AgentLab: Creating a Salesforce connectionLab: Creating a Flat File connectionLab: Creating an Oracle connectionModule 3: Synchronization TaskSynchronization Task OverviewSynchronization Task Definition StepSynchronization Task Source StepSynchronization Task Target StepSynchronization Task Data Filters StepSynchronization Task Field Mapping StepSynchronization Task Schedule StepActivity MonitorLab: Creating a Synchronization TaskLab: Using Filter, Expression and Lookup in a Synchronization TaskModule 4: Cloud Mapping DesignerCloud Mapping Designer OverviewMapping Designer TerminologiesCLAIRE Transformation RecommendationsMapping Data PreviewCustomizing Mapping PreviewField RulesBest Practices for Creating MappingsData flow run orderMapping TaskDeploy mapping updatesModule 5: Cloud Mapping Designer - TransformationsSource TransformationTarget TransformationFilter TransformationJoiner TransformationExpression TransformationLookup TransformationUnion TransformationMappletsSQL TransformationAggregator TransformationNormalizer TransformationRank TransformationData Masking TransformationJava TransformationLab: Using Query in a MappingLab: Using Normalizer, Aggregator, and Rank transformations in a mappingLab: Using Unconnected Lookup transformation in a mappingLab: Using Mapplet transformation in a mappingModule 6: Mapping ParametersParameterization use casesAdding Parameters to a MappingCreating parametersParameter TypesUsing parameter filesParameter Best PracticesLab: Performing Complete ParameterizationLab: Using Parameter File in a Mapping taskLab: Using In-Out parameters for incremental data loadingModule 7: Expression Macro and Dynamic LinkingExpression MacroDynamic LinkingLab: Using Expression Macro in a mappingLab: Using Dynamic Linking in a mappingModule 8: Replication TaskReplication Task OverviewReplication Task FeaturesReplication Task: Source and Target OptionsOther Replication Task OptionsResetting the Target TableGenerating Non-Unique IndexAppendix: Replicating Data to a Flat fileModule 9: Masking TaskMasking Task OverviewMasking Task: Source and Target OptionsData Subset: Row Limits and Data FiltersField Masking RulesMasking Rule TypesRefresh Masking Task metadataReset a Masking TaskMasking Best PracticesAppendix: Creating a Masking TaskModule 10: Mass Ingestion TaskMass Ingestion Task OverviewFunctionalitiesConfiguring a Mass Ingestion TaskFile Ingestion TaskDatabase Ingestion TaskStreaming Ingestion TaskLab: Creating a Streaming Ingestion TaskModule 11: TaskflowsTaskflow overviewLinear TaskflowsFile Listener EnhancementsTaskflow StepsTaskflow TemplatesParameters in TaskflowUsing REST APIsInvoke a Taskflow through a File ListenerLab: Passing in-out parameters in a TaskflowLab: Invoking a Taskflow through a File ListenerModule 12: Hierarchical ConnectivityWeb Service transformationREST V2 ConnectorHierarchical SchemasHierarchy Parser TransformationHierarchy Builder TransformationLab: Creating a mapping using a REST V2 connectorLab: Using Web Services transformation in a mappingLab: Using Hierarchy Parser and Hierarchy Builder TransformationModule 13: Intelligent Structure ModelIntelligent Structure ModelIntelligent Structure Discovery ProcessIntelligent Structure ExampleRefining a Discovered StructureEditing an Intelligent Structure ModelIntelligent structure models based on an XSD fileUsing intelligent structure models in Structure Parser transformationLab: Creating an Intelligent Structure ModelLab: Using Structure Parser transformation in a mappingModule 14: Advanced Task Settings and Performance TuningPrimary Key ChunkingLookup SQL OverridePartitions OverviewTypes of PartitionsPartitioning Rules and GuidelinesPushdown optimization overviewTypes of pushdown optimizationPushdown optimization user-defined parametersSecure agent groupsShared secure agent groupsDTM performance propertiesModule 15: Exception HandlingTypes of exceptionsUser-defined exceptionsNon-fatal exceptionsDefault Field Value SettingRow Error LoggingError handling settingsFatal exceptionsBad files or Reject filesLab: Cre