- ABatch task
- BBatch framework
- CBatch group
- DBatch job
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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.
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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.
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Batching is the correct answer because it groups messages, which reduces overhead and can handle high and variable transaction loads efficiently. Real-time or synchronous is incorrect as it is not suitable for high-volume transactions and can lead to system dependency and sensitivity to delays. Embedding is incorrect as it is primarily for UI integration and does not address the need to manage high transaction loads. One-way sync is incorrect because it does not provide the scalability needed for variable transaction loads.
Select a data integration (import/export) strategy - Training | Microsoft Learn
Choose the right pattern for your integration strategy - Dynamics 365 | Microsoft Learn
The SysOperationSandbox framework allows you to run a synchronous operation on the asynchronous session that's happening on the web client. This will prevent the web client from freezing. Option C is incorrect because batch processes are used for lengthy tasks that are implemented on the batch servers, not for user interface-driven processes. Option B is incorrect because running the process in synchronous mode in the web client will freeze the web browser until the process completes. Option A is incorrect because simply creating a new form and adding a button will not solve the problem of the web client freezing.
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The correct answer is Asynchronous using the Batch data API because it allows for the exchange of data in batches and does not require real-time data transfer, which suits the legacy system's capabilities. Real-time using OData is incorrect as it requires real-time data transfer. Synchronous using Custom service is also incorrect because it implies a blocking request and response pattern, which is not necessary in this scenario. Pull-based using the Data Management Framework is incorrect because it suggests that the receiving system requests data from the sender, which is not specified in the scenario.
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Choose the right pattern for your integration strategy - Dynamics 365 | Microsoft Learn
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
Dual-write provides synchronous, real-time integration, which is necessary for the corporation's requirement of instant data reflection. The OData protocol is typically used for asynchronous data exchange. A custom Power Automate flow would not inherently provide real-time synchronization. A virtual table in Dataverse is for pulling data from external sources on demand, not for real-time integration between Dynamics 365 apps.
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You should select a batch data integration for asynchronous scenarios like this for batch-run integrations.