# Testing Center

In the *Testing Center*, a model can be applied against a dataset to determine the calculated outputs. This is beneficial for use cases around regression testing, model simulation, and portfolio projection.

To access this feature, after choosing a specific service from [Folder overview](/navigation/folder-overview.md), choose the ![](/files/YM2CWxxgaHKyzXbMBcts) *Testing Center* icon from the service sidebar.

Learn more about this feature in [How to: Test services (Testing Center)](/build-spark-services/how-to-test-services-testing-center.md).

## Manage testbeds

A testbed contains a set of inputs to run against a model. The *Testing Center* screen will list all the testbeds that created against the particular service. This screen includes the functionality to delete, download, favorite, run, and search testbeds.

## Create new testbed

A testbed can be created using one of the three methods:

* Upload testbed.
* Randomized test case generation.
* Systematic test case generation.

## Review testbed details

The *Testbed details* page is a drill-down section of a testbed. After a testbed is run, it will appear on this page.

* The heading section, which contains additional details about the testbed.
* The testbed results section, which shows all of the testbed results associated with the testbed. This can include test results that are from a Spark testbed run or test results uploaded into Spark.

Actions that can be performed in the testbed details include:

* Add test cases.
* Upload testbed result.
* Compare testbed results.
* Download testbed result.
* Delete testbed result.
* Explore test case in API Tester. When provided with a test case `id` , the [API Tester](/navigation/api-tester.md) will load with the corresponding service version and the inputs from the test case.
* Aggregate testbed result.


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