Integration and Automation Capabilities

Integration is the process of connecting two or more separate software systems so they can share data and trigger actions between each other. Automation is the use of software to perform repetitive tasks without human intervention. In a business context, these two concepts work together to replace manual processes — for example, instead of an employee copying a sales order from an e-commerce website and typing it into an accounting system, an integration sends that data automatically, and an automation posts the invoice the moment the order is confirmed. Dynamics 365 Finance and Operations apps provide several specific tools to achieve this. The first is Data Management, which is a framework for importing and exporting data in bulk. You might use it to load a list of new customers from a spreadsheet into the system. Think of it as a scheduled bus service for data — it runs on a timetable and moves large groups of records at once. The second tool is OData (Open Data Protocol), which is a standard way for one application to read or write individual records in another application over the internet. OData works like a live query — if an external website wants to check the current inventory level of a product, it can use an OData endpoint to ask the Finance and Operations app for that single data point in real time. The third tool is the Common Data Service (now part of Microsoft Dataverse). This is a shared database that underlies Dynamics 365 apps, Power Apps, and Power Automate. When Finance and Operations apps store data in Dataverse, that data becomes available to other Microsoft cloud applications without custom coding. Automations are built using Power Automate, a low-code platform that lets users create workflows. For example, you can set up a Power Automate flow that says: when a new invoice is created in Finance, send an email with the invoice PDF to the customer. Power Automate connects to hundreds of services — email, SharePoint, Teams, and external systems — through connectors. A connector is a pre-built bridge that handles the technical handshake between two services. The idea is that a business analyst with no programming background can drag and drop actions to create an automated process. Another important automation capability is business events. A business event is a notification that something occurred inside Finance and Operations — for instance, a purchase order was approved, or a payment was received. External systems can subscribe to these events and react immediately. This replaces older techniques where a system had to repeatedly check for changes (called polling), which was inefficient. Microsoft also provides Logic Apps, which is a more powerful automation service for complex, enterprise-level integrations that might involve custom code or on-premises systems. Logic Apps lives in Azure and can orchestrate workflows across many services, including Finance and Operations. The architecture is designed so that integration can happen either through the cloud platform (Microsoft Power Platform) or through direct data exchange. For beginners, the key take-away is that you never have to write a line of code to integrate or automate in Dynamics 365 — you just need to know which tool to use for which job. Data Management for big batches, OData for live queries, Dataverse for shared data, Power Automate for simple workflows, and Logic Apps for complex orchestrations. Knowing these five tools and their use cases will help you answer many exam questions.

An IT professional working with Dynamics 365 Finance and Operations typically spends their day designing how data moves between systems. Consider a medium-sized manufacturing company that sells products through both a wholesale portal and a retail website. The wholesale orders come in through a separate legacy system, and the retail orders come in through Shopify. The company uses Dynamics 365 Finance and Operations for inventory management and financials. The IT professional needs to ensure that when a sale happens on either channel, inventory is reduced in the Finance and Operations app and a sales order is created. First, they map out the data flow. They decide that Shopify will send order data to the Finance and Operations app using OData. They configure an OData endpoint in Finance and Operations that accepts new sales orders. On the Shopify side, they use a connector in Power Automate that listens for new orders. When a new order appears, the Power Automate flow extracts the order details and sends them to the OData endpoint, which creates the order in Finance and Operations. Simultaneously, the inventory quantity is updated. For the wholesale legacy system, which runs on a local server and cannot communicate via the internet, they use Data Management. The legacy system exports a daily CSV file of orders. A scheduled data import job in Finance and Operations picks up that file from a shared network folder every night at 2 AM and loads the orders in bulk. They also set up business events so that when inventory for a popular product falls below 10 units, a business event triggers a Power Automate flow that sends an alert to the purchasing team in Microsoft Teams. These steps are all performed without writing custom code. The IT professional would test each integration in a sandbox environment first to ensure data integrity — meaning the data arrives correctly and does not get corrupted. They also monitor the jobs using the Data Management dashboard in Finance and Operations, which shows success or failure status for each import. If an error occurs, they review the execution log, which details which record failed and why, such as a missing customer ID or an invalid date format. The role requires understanding not just the tools but also the business process — if orders are not synced quickly enough, customers may be oversold, so the IT professional must choose the right sync frequency and alerting thresholds. This hands-on work is what the MB-920 exam expects you to understand conceptually.