# Managed Spot Training Lifecycle
<a name="model-managed-spot-training-status"></a>

You can monitor a training job using `TrainingJobStatus` and `SecondaryStatus` returned by [DescribeTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingJob.html). The list below shows how `TrainingJobStatus` and `SecondaryStatus` values change depending on the training scenario:
+ **Spot instances acquired with no interruption during training**

  1. `InProgress`: `Starting`↠ `Downloading` ↠ `Training` ↠ `Uploading`
+ **Spot instances interrupted once. Later, enough spot instances were acquired to finish the training job.**

  1. `InProgress`: `Starting` ↠ `Downloading` ↠ `Training` ↠ `Interrupted` ↠ `Starting` ↠ `Downloading` ↠ `Training` ↠ `Uploading` 
+ **Spot instances interrupted twice and `MaxWaitTimeInSeconds` exceeded.**

  1. `InProgress`: `Starting` ↠ `Downloading` ↠ `Training` ↠ `Interrupted` ↠ `Starting` ↠ `Downloading` ↠ `Training` ↠ `Interrupted` ↠ `Downloading` ↠ `Training` 

  1. `Stopping`: `Stopping` 

  1. `Stopped`: `MaxWaitTimeExceeded` 
+ **Spot instances were never launched.**

  1. `InProgress`: `Starting` 

  1. `Stopping`: `Stopping` 

  1. `Stopped`: `MaxWaitTimeExceeded`