- ABroad integration across platforms
- BNot Data migration and All the options is applicable
- CSupports consumption of data using Power BI
- DUniform URL conventions
Time Taken:
Correct Answer:
Wrong Answer:
Percentage: %
Justification:
JavaScript is associated with web development and is often used for building server-side applications, leveraging its asynchronous and event-driven capabilities, especially with the Node.js runtime.
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
Embedding integration pattern is used when information from one system is seamlessly integrated into the UI of another system. Push, Pull, and One-way sync are different types of integration patterns and do not specifically deal with UI integration.
Choose the right pattern for your integration strategy - Dynamics 365 | Microsoft Learn
Prepare data for migration to finance and operations apps - Training | Microsoft Learn
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
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
The correct answer is to integrate Power Apps with Dynamics 365 to create a mobile app that provides real-time access to customer order history and inventory data. This solution would offer the necessary real-time data access for sales representatives while on client sites. Accessing the Dynamics 365 desktop application remotely via a VPN, carrying offline copies of data, or setting up email notifications do not provide immediate, real-time access to detailed customer data when needed and can be impractical or inefficient.
Develop and integrate Microsoft Power Platform - Training | Microsoft Learn
Start: Incorrect. You don’t start a map to queue records.
Correct. Pausing a mapping allows it to queue transactions in Azure storage until the mapping is resumed.
Stop: Incorrect. A stopped mapping won’t queue transactions.
Recurring integrations support both files and data packages.
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: