- 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
Synchronous vs. asynchronous integration patterns - Quiz
- 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.
- 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
- AEmbedding for UI integration
- BReal-time or synchronous for immediate data transfer
- COne-way sync for simple data transfer
- DBatching to group messages and reduce overhead
- ACreate a new form and add a button without using SysOperationSandbox.
- BRun the process in synchronous mode in the web client.
- CUse batch processes to perform the task.
- DCreate a new class with business logic to create 100 new check numbers and use SysOperationSandbox to run the AsyncInfo static method.
- AUse the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records.
- BEnable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process.
- CImplement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors.
- DA, B and C
- 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
Results:
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Synchronous vs. asynchronous integration patterns - Quiz
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- 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. 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. Embedding for UI integration
- B. Real-time or synchronous for immediate data transfer
- C. One-way sync for simple data transfer
- D. Batching to group messages and reduce overhead
Remarks:
Explanation:
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
- A. Create a new form and add a button without using SysOperationSandbox.
- B. Run the process in synchronous mode in the web client.
- C. Use batch processes to perform the task.
- D. Create a new class with business logic to create 100 new check numbers and use SysOperationSandbox to run the AsyncInfo static method.
Remarks:
Explanation:
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.
Implement the SysOperationSandbox framework - Training | Microsoft Learn
The user interface - Training | Microsoft Learn
Use X++ runtime functions for common tasks - Training | Microsoft Learn
- A. Use the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records.
- B. Enable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process.
- C. Implement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors.
- D. A, B and C
Remarks:
Explanation:
Wrong: Manually import data entity files one at a time to isolate and address errors, disregarding the use of the data management framework.
Wrong: Configure the data management framework to halt the entire import process upon encountering any errors, ensuring no faulty data is migrated.
The correct answer is to use the data management framework to create a data project and set up a recurring data job with error handling to skip faulty records, enable change tracking for entities in the data management framework to monitor the status and availability of entities during the import process, and implement an asynchronous integration pattern using the data management framework to sequence data entities and manage import errors. Manually importing data entity files one at a time is time-consuming and does not utilize the capabilities of the data management framework. Configuring the data management framework to halt the entire import process upon encountering any errors does not meet the requirement of skipping faulty records
Data management overview - Finance & Operations | Dynamics 365 | Microsoft Learn
Export, import, and copy data into a legal entity - 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. Yes
- B. No
Remarks:
Explanation:
Both recurring integrations and the data management framework support REST protocols.