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Choose the best response for each of the questions.
Imagine a utility company that is struggling to keep up with growing data volumes and wants to integrate smart grid technology. How can Microsoft Dataverse address these challenges?
By scaling to accommodate large data volumes and enabling seamless integration with smart grid systems.
By requiring manual setup of tables and relationships to organize data effectively.
By offering traditional database tools for coding-intensive application development.
A business user needs to import customer records into a Dataverse table using the Import Data Wizard. What is the first step they should take?
Select the table where the data is stored
Map the columns in the source file to the fields in the Dataverse table
Validate the data to identify errors or inconsistencies
What is one of the primary advantages of using business rules in Dataverse?
They allow users to enforce logic without custom coding.
They're only applicable to model-driven apps.
They require Power Fx for implementation.
A student is refining a Dataverse table created with Copilot. They want to add a new column for 'priority' and change the 'due date' column to a Date and Time format. How can they achieve this?
Use natural language prompts like 'Add a column for priority' and 'Change the due date column to Date and Time format.'
Manually edit the table structure in the Dataverse backend.
Export the table to Excel, make changes, and reimport it.
You must answer all questions before checking your work.
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