Configure datatables, lists, and custom objects in desktop flows

Datatables allow you to store and manage tabular data. To configure a datatable in a desktop flow, follow these steps:

1. Add a datatable action to your flow.

2. Provide a name for your datatable, which will serve as its identifier.

3. Define the structure of your datatable by specifying column names, types, and other properties.

4. Use the “Add row to a datatable” action to populate your datatable with data dynamically.

Here is an example of configuring a datatable using HTML code snippets:

Working with Lists

Lists are collections of items that can be iterated over or manipulated within a flow. To work with lists in a desktop flow, consider the following steps:

1. Add a list action to your flow.

2. Provide a name for your list, which will be used as its identifier.

3. Define the type of elements that your list will contain.

4. Use various list actions, such as adding items or removing items, to manipulate the list dynamically.

Here’s an example of working with a list:

Understanding Custom Objects

Custom objects allow you to create complex data structures by combining different data types into a single entity. To configure a custom object in a desktop flow, follow these steps:

1. Add a custom object action to your flow.

2. Provide a name for your custom object, which will serve as its identifier.

3. Define the properties of your custom object, their data types, and other attributes.

4. Use the “Set property value” action to assign values to the properties of your custom object.

Consider the following HTML code example for configuring a custom object:

Manipulating Datatables, Lists, and Custom Objects

Once you have configured datatables, lists, or custom objects, you can manipulate them further to perform various operations. Here are a few useful actions:

• Filtering: Use the “Filter datatable” action to extract specific rows from a datatable based on defined conditions.

• Sorting: Use the “Sort datatable” action to sort the rows of a datatable based on specified columns.

• Iterating: Use the “Apply to each” action to iterate over each item in a list or datatable.

• Accessing Properties: Use the custom object or datatable “Get property” action to retrieve the value of a specific property or column.

Keep in mind that these examples and configurations are just a starting point, and you can explore more options and actions provided by Power Automate to suit your specific needs.

In conclusion, configuring datatables, lists, and custom objects in desktop flows is essential for efficient data organization and manipulation. By leveraging these features, you can build powerful automation solutions as part of your Microsoft Power Automate RPA Developer exam preparations. Good luck!