Approaches to Improve Data Load in Canvas Apps

Correct Answers: B, C and E

For the best performance of a canvas app, you need to consider the following tips: Limit data connections - no more than 30 data sources for the same app.

Limit the number of controls - no more than 500 controls per app.

Using collections - pre-load the data into local collections.

Effective OnStart load - for data load use in a parallel process by implementing the Concurrent function.

Optimize local caching - use the Set function for local caching.

Load screens in memory only when needed - avoid screen dependencies and formula sharing between screens.

Use delegation - process data close to the source, on the data server, as much as you can.

Use predominantly delegable functions.

Republish your app regularly - Power Platform adds new features all the time that can help your app's performance.

All other options are incorrect.

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Sure, here's a detailed explanation of the approaches that can help optimize the performance of a canvas app by improving data load:

A. Custom Connectors: Custom connectors can help optimize the performance of a canvas app by allowing you to create a direct connection to external data sources. By using a custom connector, you can bypass the default connectors provided by Power Apps, which may not always provide the best performance. Custom connectors can be optimized to return only the required data and in the format that is required by the app, reducing the data load and improving performance.

B. Local Caching: Local caching can help optimize the performance of a canvas app by reducing the amount of data that needs to be loaded from external data sources. By caching data locally on the device, subsequent requests for the same data can be served from the cache, reducing the data load and improving performance. Local caching can be implemented using techniques such as Power Apps' built-in data caching feature or by using third-party caching solutions.

C. Using Collections: Using collections can help optimize the performance of a canvas app by reducing the number of requests that need to be made to external data sources. By loading data into collections, subsequent requests for the same data can be served from the collection, reducing the data load and improving performance. Collections can be loaded from a variety of sources, including custom connectors, web APIs, and other data sources.

D. Web API: Web APIs can help optimize the performance of a canvas app by allowing you to create a direct connection to external data sources. By using a web API, you can bypass the default connectors provided by Power Apps, which may not always provide the best performance. Web APIs can be optimized to return only the required data and in the format that is required by the app, reducing the data load and improving performance.

E. Concurrent Call: Concurrent calls can help optimize the performance of a canvas app by allowing multiple requests to be made simultaneously, reducing the overall time required to load data. By making multiple requests at the same time, data can be loaded more quickly, reducing the data load and improving performance.

F. Plug-ins: Plug-ins can help optimize the performance of a canvas app by allowing you to extend the functionality of the app. By using plug-ins, you can perform custom logic on the data as it is loaded, reducing the amount of data that needs to be loaded into the app. This can help reduce the data load and improve performance.

In conclusion, all of the approaches listed (A-F) can help improve the performance of a canvas app by optimizing data load. However, the most effective approach will depend on the specific requirements of the app and the external data sources being used.