Integrate and manage data solutions (15–20%)
Evaluate data integration patterns and scenarios
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Contrast data integration patterns
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Select an appropriate data integration API
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Differentiate between synchronous and asynchronous patterns
Implement data integration concepts and solutions
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Consume external web services by using RESTful APIs and Simple Object Access Protocol (SOAP)
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Implement electronic reporting integrations
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Implement custom services and Batch OData API
Implement data management
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Import and export data using entities between finance and operations apps and other systems
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Import and export data using composite and aggregate data entities
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Monitor the status and availability of entities
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Enable change tracking for entities
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Set up a data project and recurring data jobs
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Design entity sequencing
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Generate and modify field mapping between source, staging, and target
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Develop data transformations
Integrate with Microsoft Power Platform, Microsoft 365, and Azure
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Integrate Power Automate and Power Apps with finance and operations apps
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Integrate Microsoft Dataverse with finance and operations apps by using dual-write
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Integrate Microsoft Dataverse with finance and operations apps by using virtual entities
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Integrate finance and operations apps with Microsoft Excel by using OData
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Implement business events
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Implement Azure Key Vault