- A OData integration
- BBatch data integration
- CCustom service integration
Integrate and manage data solutions - Quiz
- AContinue using the existing real-time synchronous pattern and increase server capacity
- BTransition to a near-real-time batch data API integration pattern
- CUse OData for synchronous data retrieval on-demand by users
- DImplement a one-way sync pattern with manual triggers for data transfer
- AUse Azure Logic Apps to replace the legacy system's functionality.
- BCreate a custom service that acts as a bridge between the SOAP web services and Dynamics 365.
- CIgnore the legacy system and create new data entities from scratch in Dynamics 365.
- DDirectly modify the legacy system to support RESTful API standards.
- AConfigure the OData connection in Microsoft Excel.
- BCreate an OData endpoint in the finance and operations apps.
- CTest the connection and validate the data flow between the apps and Excel.
- DA, B, C
- ASchedule a recurring data import using the Data Management Framework REST API.
- BImplement OData service endpoints for the required data entities.
- CCreate a batch job to synchronize data at the end of each day.
- DUse the Electronic Reporting tool to configure data formats.
- ASynchronous
- BAsynchronous
- CEmbedding
- DBatching
- AUse dual-write to replicate data changes to external applications' databases.
- BImplement OData feeds to provide external applications with the latest data changes.
- CSet up business events to trigger workflows in external applications using Microsoft Power Platform.
- DConfigure a periodic data export service to send updates to external applications.
- AData management framework
- BOData
- CRecurring integrations
Results:
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Integrate and manage data solutions - Quiz
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- A. OData integration
- B. Batch data integration
- C. Custom service integration
Remarks:
Explanation:
Justification:
- A. OData integration is incorrect. You need an asynchronous integration on a set frequency.
- B. Correct: You should select a batch data integration for asynchronous scenarios like this for batch-run integrations.
- C. Generally, custom service integration is selected for real-time integrations.
- A. Continue using the existing real-time synchronous pattern and increase server capacity
- B. Transition to a near-real-time batch data API integration pattern
- C. Use OData for synchronous data retrieval on-demand by users
- D. Implement a one-way sync pattern with manual triggers for data transfer
Remarks:
Explanation:
The best solution for timely data availability is transitioning to a near-real-time batch data API integration pattern. This method manages loads effectively and provides the needed data promptly. Solutions such as increasing server capacity, using manual triggers, or relying on OData's synchronous on-demand retrieval may not resolve the inherent delays or meet the timeliness required for production planning.
Choose the right pattern for your integration strategy - Dynamics 365 | Microsoft Learn
Select a data integration (import/export) strategy - Training | Microsoft Learn
- A. Use Azure Logic Apps to replace the legacy system's functionality.
- B. Create a custom service that acts as a bridge between the SOAP web services and Dynamics 365.
- C. Ignore the legacy system and create new data entities from scratch in Dynamics 365.
- D. Directly modify the legacy system to support RESTful API standards.
Remarks:
Explanation:
The optimal solution for integrating a legacy system that uses SOAP web services with Dynamics 365 is to create a custom service. This service will act as a bridge between the SOAP web services and Dynamics 365, ensuring seamless integration without altering the legacy system. Other options that suggest modifying the legacy system, replacing it, or creating new data entities from scratch in Dynamics 365 do not address the need for integration and may not be feasible.
Integration architecture design - Azure Architecture Center | Microsoft Learn
Optimize data entities to achieve better performance - Training | Microsoft Learn
- A. Configure the OData connection in Microsoft Excel.
- B. Create an OData endpoint in the finance and operations apps.
- C. Test the connection and validate the data flow between the apps and Excel.
- D. A, B, C
Remarks:
Explanation:
Wrong: Integrate the apps with Excel using virtual entities.
Wrong: Use dual-write to integrate the apps with Excel.
Wrong: Use Power Automate to create a data flow between the apps and Excel.
Creating an OData endpoint in the finance and operations apps, configuring the OData connection in Excel, and testing the connection are the correct steps for integrating the apps with Excel using OData. Power Automate is not necessary for this task. Virtual entities and dual-write are used for integrating with Microsoft Dataverse, not Excel.
Power Platform convergence - Training | Microsoft Learn
Enable Power Platform Integration - Finance & Operations | Dynamics 365 | Microsoft Learn
- A. Schedule a recurring data import using the Data Management Framework REST API.
- B. Implement OData service endpoints for the required data entities.
- C. Create a batch job to synchronize data at the end of each day.
- D. Use the Electronic Reporting tool to configure data formats.
Remarks:
Explanation:
OData service endpoints allow real-time data exchange, which is necessary for the retailer's requirement. The Data Management Framework REST API is used for asynchronous, batched data transfer and does not support real-time updates. The Electronic Reporting tool is intended for configuring document formats for regulatory reporting, not for product catalog integration. A batch job would only synchronize data periodically, not in real time.
Data integration scenarios - Training | Microsoft Learn
Integrate Dynamics 365 apps with other systems - Dynamics 365 | Microsoft Learn
- A. Synchronous
- B. Asynchronous
- C. Embedding
- D. Batching
Remarks:
Explanation:
Asynchronous integration pattern is the most recommended as it allows for a robust, decoupled integration architecture with less manual intervention. Synchronous pattern is generally not a best practice due to the risk of processes getting stuck. Batching and Embedding are not integration patterns, they are techniques used within the patterns.
Choose the right pattern for your integration strategy - Dynamics 365 | Microsoft Learn
Select a data integration (import/export) strategy - Training | Microsoft Learn
- A. Use dual-write to replicate data changes to external applications' databases.
- B. Implement OData feeds to provide external applications with the latest data changes.
- C. Set up business events to trigger workflows in external applications using Microsoft Power Platform.
- D. Configure a periodic data export service to send updates to external applications.
Remarks:
Explanation:
The correct answer is to set up business events to trigger workflows in external applications using Microsoft Power Platform. Business events can notify external applications of specific operations occurring within finance and operations apps. Dual-write is for data synchronization between Dynamics 365 apps and not for notifying external applications. OData feeds are meant for data access, not for event-driven notifications. A periodic data export service does not provide real-time notifications.
Develop and integrate Microsoft Power Platform - Training | Microsoft Learn
- A. Start
- B. Pause
- C. Stop
Remarks:
Explanation:
Start: Incorrect. You don’t start a map to queue records.
Correct. Pausing a mapping allows it to queue transactions in Azure storage until the mapping is resumed.
Stop: Incorrect. A stopped mapping won’t queue transactions.
- A. Data management framework
- B. OData
- C. Recurring integrations
Remarks:
Explanation:
Recurring integrations support both files and data packages.
Recurring integrations
Recurring integrations API supports both data import and export with many other benefits, depending on your situation. With recurring integrations, you can do the following:
- Job scheduling - Job scheduling for recurring integrations is performed in finance and operations apps.
- Multiple data formats - Recurring integrations support files and data packages for import and export.
- Transformation - If your data is in XML formation, Extensible Style sheet Language Transformation is supported to convert the data.
- Protocols - The two supported protocols for recurring integrations are SOAP and REST.
- Service type - Recurring integrations are part of data management APIs and are available out of the box.
- Availability - Recurring integrations are not supported for on-premises implementations.
- A. Yes
- B. No
Remarks:
Explanation:
Both recurring integrations and the data management framework support REST protocols.