If it takes too long to deploy the solution, time out issues might occur. In this instance consider checking and updating the MaxAsyncWaitTime. Its value has been increased to 120 which means the deployment process will wait up to 120 seconds (or 2 minutes) for asynchronous operations such as import power platform solution to complete fixing the timing out issue. The fix is to amend the MaxAsyncWaitTime to 120 - task: PowerPlatformImportSolution@2 inputs: authenticationType: PowerPlatformSPN PowerPlatformSPN: 'powerplatform-t-connection' Environment: 'https://contoso-st.

Overcoming Challenges with Azure DevOps Pipelines using Self-Hosted Build Agents for Power Platform Managed Solutions Application Lifecycle Management (ALM) for Power Platform solutions can be effectively managed using Azure DevOps, providing a robust framework for automating deployments, version control, and continuous integration and delivery, thereby enhancing productivity and reducing manual errors. Refer to the posts for more details: Power Platform ALM & Pipelines w/ Matt Devaney and Converting to Modern YAML Pipeline: Application Lifecycle Management in Azure DevOps for Power Platform

Azure Document Intelligence Studio - Neural vs. Template Training Azure Document Intelligence Studio formally known as form recognizer is a powerful tool to extract data from documents at scale. Among its features, the ability to “train a new model” for data extraction from documents. This process comes with two distinct options: Neural and Template. Each has its unique advantages and use cases. Neural Training The Neural option leverages deep learning algorithms to understand and process documents.