- AData management framework
- BOData
- CRecurring integrations
Synchronous vs. asynchronous integration patterns - Quiz
- ABatch task
- BBatch framework
- CBatch group
- DBatch job
- ASynchronous
- BOne to many
- CAsynchronous
- DOne to one
- 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.
- 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
- 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 using Custom service
- BReal-time using OData
- CPull-based using the Data Management Framework
- DAsynchronous using the Batch data API
- 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.
- AData management framework
- BOData
- CRecurring integrations
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Synchronous vs. asynchronous integration patterns - Quiz
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- A. Data management framework
- B. OData
- C. Recurring integrations
Remarks:
Explanation:
Justification:
- A. The data management framework only supports data packages.
- B. OData is a service type within the data management framework.
- C. Correct: 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. 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. Synchronous
- B. One to many
- C. Asynchronous
- D. One to one
Remarks:
Explanation: The client expects a timely response from the service and might even block while it waits. This represents the **Synchronous** client service interaction style.
- 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. 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 using Custom service
- B. Real-time using OData
- C. Pull-based using the Data Management Framework
- D. Asynchronous using the Batch data API
Remarks:
Explanation:
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.
Select a data integration (import/export) strategy - Training | Microsoft Learn
Choose the right pattern for your integration strategy - Dynamics 365 | 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. 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.