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Update FAQ (#605)

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@ -311,7 +311,7 @@ See more task configuration options [here](fundamentals/hyperparameters.md).
<br/>
**I noticed that all of my experiments appear as "Training" Are there other options?** <a id="other-experiment-types"></a>
**I noticed that all of my experiments appear as "Training". Are there other options?** <a id="other-experiment-types"></a>
Yes! When creating experiments and calling [`Task.init`](references/sdk/task.md#taskinit),
you can provide an experiment type. ClearML supports [multiple experiment types](fundamentals/task.md#task-types). For example:
@ -411,24 +411,26 @@ To resolve the error, uninstall `typing` and rerun your script. If this does not
**My ClearML Server disk space usage is too high. What can I do about this?**
We designed the ClearML open source suite, including ClearML Server, to ensure experiment traceability. For this reason, the ClearML Web UI does not include a feature to delete experiments. The ClearML Web UI does allow you to archive experiments so that they appear only in the Archive area.
To clear up space, you can delete ClearML objects (e.g. experiments, models, datasets, etc.).
In rare instances, however, such as high disk usage for a privately-hosted ClearML Server because Elasticsearch is indexing unwanted experiments, you may choose to delete an experiment.
To delete an object via the UI:
1. Go to the relevant object table (e.g. [Experiments Table](webapp/webapp_exp_table.md), [Models Table](webapp/webapp_model_table.md), etc.)
1. Archive the object - Right-click the object in the table **>** click **Archive**
1. Click **Open Archive** on the top of the table
1. In the archive table, right-click the object **>** click **Delete**.
To delete an object programmatically, use the relevant method:
* Tasks - [`Task.delete()`](references/sdk/task.md#delete)
* Models
* [`Model.remove()`](references/sdk/model_model.md#modelremove)
* [`InputModel.remove()`](references/sdk/model_inputmodel.md#inputmodelremove)
* Datasets - [`Dataset.delete()`](references/sdk/dataset.md#datasetdelete)
You can use the `APIClient` provided by ClearML Agent and
`client.tasks.delete()` to delete an experiment.
:::caution
You cannot undo the deletion of an experiment.
You cannot undo the deletion of a ClearML object.
:::
For example, the following script deletes an experiment whose Task ID is `123456789`.
```python
from clearml_agent import APIClient
client = APIClient()
client.tasks.delete(task='123456789')
```
<a id="random_see"></a>