A managed solution is a finalized package that cannot be altered once deployed. It is designed to prevent further modifications to ensure stability and consistency. The given scenario requires a solution type that allows for components to be added, amended, renewed, removed, deleted, or tested. This flexibility is provided by an unmanaged solution, which is not locked and permits ongoing development and changes. Therefore, using a managed solution will not meet the objective of allowing modifications in the new environment.
Using an unmanaged solution does achieve the objective. Unmanaged solutions allow for full flexibility where components can be added, edited, updated, removed, deleted, and tested. They are typically used in development environments where modifications and testing are necessary before possibly moving to a managed solution for production.
To ensure that you can both share the app with a fellow app maker and resume work on it later, you should export the app, with all adaptations, as an unmanaged solution. An unmanaged solution allows for ongoing editing, updating, and testing of the app components. This ensures that the fellow app maker can make necessary adaptations, while you can easily re-import the unmanaged solution and continue working on it upon your return.
To hide content from seeing users while making it accessible to screen reader users, the following methods can be used: configuring color and related properties as transparent, and setting the width and height to 1. Making content transparent effectively hides it from visual users without affecting screen reader accessibility. Similarly, setting width and height to 1 makes the visual representation minimal, effectively hiding it. Ensuring the X and Y properties are on-screen or setting the size to 10 do not meet the criteria for hiding content from visual users.
The AI Model that you should include in your app to allow for detailed data to be identified in targeted text is an Entity Extraction model. This model is designed to recognize specific entities (such as dates, times, names, places, and other relevant information) within unstructured text data. It helps transform unstructured data into structured forms that are easier to process and analyze.