- ABatch task
- BBatch framework
- CBatch group
- DBatch job
Synchronous vs. asynchronous integration patterns - Quiz
- ARun the process in synchronous mode in the web client.
- BUse SysOperationSandbox to run two client sessions in parallel.
- CCreate a new form and add a button without using SysOperationSandbox.
- DUse batch processes to perform the task.
- 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
- ADesign for aggressive caching in finance and operations apps where appropriate.
- BConsider whether to design for synchronous, asynchronous, or background (batch) processing.
- CConsider data growth over time and tune the system accordingly.
- DAll A, B, C
- ACreate a new class with business logic to create 100 new check numbers and use SysOperationSandbox to run the AsyncInfo static method.
- BUse batch processes to perform the task.
- CRun the process in synchronous mode in the web client.
- DCreate a new form and add a button without using SysOperationSandbox.
- ASynchronous
- BAsynchronous
- CEmbedding
- DBatching
- AImplement dual-write for synchronous, real-time integration between the apps.
- BUse the OData protocol to periodically synchronize data entities.
- CEstablish a virtual table in Dataverse for the finance and operations apps.
- DCreate a custom Power Automate flow to transfer data between the apps.
- AOData integration
- BBatch data integration
- CCustom service integration
- AData management framework
- BOData
- CRecurring integrations
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Synchronous vs. asynchronous integration patterns - Quiz
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- A. Batch task
- B. Batch framework
- C. Batch group
- D. Batch job
Remarks:
Explanation:
- Batch task: A batch task is an activity that is run by a batch job. You can add batch tasks that have multiple types of dependencies to a batch job.
- Batch framework: The batch framework provides an asynchronous, server-based batch processing environment that can process tasks across multiple instances of the Application Object Server (AOS). The AOS is the interface between the client application, such as a browser, and the finance and operations apps database.
- Batch group: A batch group is an attribute of a batch task. A batch group lets the administrator determine or specify which AOS instance runs the task.
- Batch job: A batch job consists of one or more batch tasks.
- A. Run the process in synchronous mode in the web client.
- B. Use SysOperationSandbox to run two client sessions in parallel.
- C. Create a new form and add a button without using SysOperationSandbox.
- D. Use batch processes to perform the task.
Remarks:
Explanation:
Option B is correct because the SysOperationSandbox framework allows you to run two client sessions in parallel, keeping the user interface live without allowing a timeout. Option A is incorrect because running the process in synchronous mode in the web client will freeze the web browser until the process completes. 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 D is incorrect because simply creating a new form and adding a button will not solve the problem of the web client freezing.
Implement the SysOperationSandbox framework - Training | Microsoft Learn
The user interface - Training | Microsoft Learn
Use X++ runtime functions for common tasks - Training | Microsoft Learn
- 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. Design for aggressive caching in finance and operations apps where appropriate.
- B. Consider whether to design for synchronous, asynchronous, or background (batch) processing.
- C. Consider data growth over time and tune the system accordingly.
- D. All A, B, C
Remarks:
Explanation:
Wrong: Migrate all data to a new server located closer to the majority of users.
Wrong: Upgrade all user devices to the latest hardware.
Wrong: Increase the number of users who can access the data at the same time.
Designing for aggressive caching, considering the type of processing, and considering data growth over time are all recommended strategies for improving system responsiveness. Increasing user concurrency does not necessarily improve responsiveness and may even degrade it. Migrating all data to a new server or upgrading all user devices are drastic measures that may not address the root cause of the performance issues.
Create and modify reports by using Power BI - Training | Microsoft Learn
Improve performance with smart design choices - Dynamics 365 | Microsoft Learn
- A. Create a new class with business logic to create 100 new check numbers and use SysOperationSandbox to run the AsyncInfo static method.
- B. Use batch processes to perform the task.
- C. Run the process in synchronous mode in the web client.
- D. Create a new form and add a button without using SysOperationSandbox.
Remarks:
Explanation:
Option A is correct because 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 B is incorrect because batch processes are used for lengthy tasks that are implemented on the batch servers, not for user interface-driven processes. Option C is incorrect because running the process in synchronous mode in the web client will freeze the web browser until the process completes. Option D is incorrect because simply creating a new form and adding a button will not solve the problem of the web client freezing.
Implement the SysOperationSandbox framework - Training | Microsoft Learn
The user interface - Training | Microsoft Learn
Use X++ runtime functions for common tasks - Training | 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. Implement dual-write for synchronous, real-time integration between the apps.
- B. Use the OData protocol to periodically synchronize data entities.
- C. Establish a virtual table in Dataverse for the finance and operations apps.
- D. Create a custom Power Automate flow to transfer data between the apps.
Remarks:
Explanation:
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.
Data integration scenarios - Training | Microsoft Learn
Integrate Dynamics 365 apps with other systems - Dynamics 365 | Microsoft Learn
- A. OData integration
- B. Batch data integration
- C. Custom service integration
Remarks:
Explanation:
You should select a batch data integration for asynchronous scenarios like this for batch-run integrations.
- 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.