Ravindra

  Public Preview of Column-Level Security for Masking Sensitive Data Data Masking in Customer Interactions: Key Points Overview : Data masking (also known as de-identification or obfuscation) protects sensitive information by replacing it with masked strings. This ensures that only authorized users can view the original data, while unauthorized users see the masked version. Purpose : Helps prevent exposure of sensitive information such as credit card numbers and social security numbers during customer interactions. Preview Feature : This is a preview feature, meaning it is available for early access and feedback but isn't intended for production use. May have restricted functionality compared to the final release. How Masking Works : Masking Rules : Define how data should be masked using regular expressions to identify patterns like credit card numbers or email addresses. Rules Setup : Create a solution in Power Apps. Add components and select "Secured masking rule" from

 Delay Until Action In Power Automate Delay Until By Using Schedule  Delay an action until a specific event occurs. You can use this action from the Microsoft Dataverse connector or any other connector as a step in the middle of the flow to delay subsequent steps until a specific event occurs. For example, you can define a flow that’s similar to the one in the following image to check for updates to  Account  rows in Dataverse, and then waits for an email confirmation from the  Account  manager before updating the change. Wait condition using delay until Use an OData-style time stamp in the  Delay until  property to delay the flow trigger until a specific UTC time. The key benefit of using the Dataverse  Delay until  property instead of the standard  Delay until   action  is the Dataverse  Delay until  property never expires, allowing the flow run to wait for long periods of time. Feature Delay Until Condition (Dataverse) Scheduled Delay Action Purpose Pauses the flow until a specific

 Fetch XML For Dataverse Table In D365 & Power Apps Youtube Video Link   Step 1 1. Click On Gear Icon 2. Go to the Advanced Setting In Power Apps Or In D365 3.  Click on Advanced Find.          New Window Will Pop-Up. 4.  Select The Table As Shown. 5.  Click On Download Fetch XML. Thank You Everyone. Keep Learning  Keep Growing Keep Exploring ✨ Thanks for reading! ✨ I hope you found this blog on the Microsoft Power Platform helpful! From Power Apps, Power Automate (Cloud & Desktop), Canvas Apps, Model-driven Apps, Power BI, Power Pages, SharePoint, Dynamics 365 (D365), Azure, and more, I cover a wide range of topics to help you harness these powerful tools. Don’t miss out on future tips, tutorials, and insights— hit that subscribe button to get the latest posts right to your inbox. 💌 💬 I’d love to hear your thoughts! Drop a comment below with your questions, ideas, or feedback—let’s get the conversation started! 🔗 Let’s connect and grow together! Follow me, Ravindra Jad

 Use Case  To automatically export Dataverse Custom Tables daily to Excel and save those backups versions in OneDrive. Those tables include Lookup columns and Choices columns. We will use those backups as a second backup in addition to the Power Platform Environment system backups. In case of Data Loss, or Corruption, we can Bulk Delete the Dataverse Tables records and use Dataflows to load the data from the Backup Excel Files. Create The Table In Microsoft Dataverse                                                                                                                                                                                                                                                                                              Data In this blog, we are only going to create a scheduled backup for one table in Dataverse, and it's called RavindraTable .   Power Automate Scheduled Cloud Flow: tart by creating a Power Automate Scheduled Cloud Flow in the same Dataver