- AThey provide a de-normalized view of tables
- BThey can be leveraged for Business Intelligence and Data Migration purposes
- CAll
- DEnable Synchronous services (APIs) to be exposed on them
How to Create Data Entities? - Quiz
- AOptimize the data entities by adjusting the staging table design and utilizing the Entity Execution Parameters form.
- BIncrease the timeout settings for the data management framework to allow longer operations.
- CDisable all entity triggers and database logging during import and export operations.
- DExport and import data in smaller batches to reduce the load on the system.
- AManually merge data in Excel after exporting individual entities.
- BDevelop and export a composite data entity that includes all the required entities.
- CExport each entity separately and combine them using an external database tool.
- DCreate a custom SQL view in the application database to combine the data.
- 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.
- AExpose all underlying tables directly to maximize transparency.
- BEncapsulate the underlying tables and provide a single consumable contract.
- CAvoid encapsulation to reduce the complexity of the data model.
- DCreate separate data entities for each table to simplify the design.
- AReview and optimize the underlying SQL queries used by the data entities.
- BUtilize the Data Import/Export Framework (DIXF) to manage data entities efficiently.
- CImplement batch processing with appropriate batch groups for data entity operations.
- 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.
- 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
- AExport data to Excel and import it into the payroll system
- BSend payroll data via email attachments
- CSet up data entities and use the Data Management framework
- DUse direct database access for data transfer
- ACreate a new view that duplicates the original and add the data entity there.
- BCreate a view extension and add the new data entity.
- CDirectly modify the source code of the original view to add the data entity.
- DUse a class extension to inject the new data entity into the original view.
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How to Create Data Entities? - Quiz
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- A. They provide a de-normalized view of tables
- B. They can be leveraged for Business Intelligence and Data Migration purposes
- C. All
- D. Enable Synchronous services (APIs) to be exposed on them
Remarks:
Explanation:
Justification:
- Data entities provide a de-normalized view of tables. This means data spanning across multiple tables is now condensed into a single table with more columns. This allows for easier data migration.
- Data entities can be configured as aggregate entities and contain measures that can then be used for business intelligence and reporting purposes. Data entities will replace the DIXF tool using and be provide a more streamlined way to achieve data migration.
- Data entities are not complex to create. There is a data entity wizard that walks the user through setting up the entity.
- Data entities allow for synchronous services, such as public APIs. This includes third party mobile applications as well as the Excel Data Connector application.
Related Lesson: Data Entities
- A. Optimize the data entities by adjusting the staging table design and utilizing the Entity Execution Parameters form.
- B. Increase the timeout settings for the data management framework to allow longer operations.
- C. Disable all entity triggers and database logging during import and export operations.
- D. Export and import data in smaller batches to reduce the load on the system.
Remarks:
Explanation:
Optimizing the data entities by adjusting the staging table design and using the Entity Execution Parameters form can significantly improve performance during import and export operations. Disabling entity triggers and database logging could compromise data integrity and is not recommended. Increasing timeout settings may allow longer operations but does not address the root cause of the performance issue. Exporting and importing data in smaller batches might reduce system load but could also increase the overall time for operations and does not optimize the process.
Create a SQL trace by using the SQL Profiler - Training | Microsoft Learn
Product-specific guidance for optimizing performance - Dynamics 365 | Microsoft Learn
- A. Manually merge data in Excel after exporting individual entities.
- B. Develop and export a composite data entity that includes all the required entities.
- C. Export each entity separately and combine them using an external database tool.
- D. Create a custom SQL view in the application database to combine the data.
Remarks:
Explanation:
Developing and exporting a composite data entity is the correct approach as it allows for the aggregation of data from multiple entities within Microsoft Dynamics 365. Exporting entities separately and combining them externally is inefficient and prone to errors. Manually merging data in Excel is not scalable or reliable for large datasets. Creating a custom SQL view directly in the database is not recommended as it can lead to performance issues and bypasses the application's business logic.
Optimize data entities to achieve better performance - Training | Microsoft Learn
Integration architecture design - Azure Architecture Center | 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. Expose all underlying tables directly to maximize transparency.
- B. Encapsulate the underlying tables and provide a single consumable contract.
- C. Avoid encapsulation to reduce the complexity of the data model.
- D. Create separate data entities for each table to simplify the design.
Remarks:
Explanation:
The correct answer is to encapsulate the underlying tables and provide a single consumable contract. This approach promotes improved performance and easier maintenance. Exposing all tables directly, creating separate entities for each table, or avoiding encapsulation can lead to performance issues, increase complexity, and complicate maintenance.
Integration architecture design - Azure Architecture Center | Microsoft Learn
Optimize data entities to achieve better performance - Training | Microsoft Learn
- A. Review and optimize the underlying SQL queries used by the data entities.
- B. Utilize the Data Import/Export Framework (DIXF) to manage data entities efficiently.
- C. Implement batch processing with appropriate batch groups for data entity operations.
- D. A, B, C
Remarks:
Explanation:
Wrong: Increase the number of simultaneous data entity operations to process more data concurrently.
Wrong: Disable all data entity triggers to speed up data transactions.
Options A, B, and C are correct because utilizing DIXF helps manage data entities more efficiently, implementing batch processing can distribute the workload, and optimizing SQL queries can reduce execution time. Option B is incorrect as disabling triggers may lead to data integrity issues. Option A is incorrect because increasing the number of operations without addressing the root cause of the performance issue could lead to further system strain.
Diagnose and optimize client performance - Training | 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. 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. Export data to Excel and import it into the payroll system
- B. Send payroll data via email attachments
- C. Set up data entities and use the Data Management framework
- D. Use direct database access for data transfer
Remarks:
Explanation:
Setting up data entities and using the Data Management framework is the recommended method for secure and accurate data integration between Dynamics 365 finance and operations apps and external systems. Exporting to Excel, direct database access, and email attachments are not secure or reliable methods for integrating payroll data.
Extend Dynamics 365 finance and operations apps - Dynamics 365 | Microsoft Learn
Finance and operations apps and associated apps - Training | Microsoft Learn
- A. Create a new view that duplicates the original and add the data entity there.
- B. Create a view extension and add the new data entity.
- C. Directly modify the source code of the original view to add the data entity.
- D. Use a class extension to inject the new data entity into the original view.
Remarks:
Explanation:
The correct method for adding new data entities without changing the original view's source code is to create a view extension, making this option correct. The option suggesting direct modification of the original view is incorrect, as such an approach is not recommended. The suggestion to duplicate the view is also incorrect, as this action does not extend the original view and can result in maintenance issues. Finally, the option advising the use of class extensions is incorrect, as these are typically used for adding methods and variables, not for adding data entities to views.
Customize through extension and overlayering - Finance & Operations | Dynamics 365 | Microsoft Learn
Create, manage, and extend views - Training | Microsoft Learn