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Update how-to-interactive-jobs.md
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articles/machine-learning/how-to-interactive-jobs.md

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3. Follow the wizard to choose the environment you want to start the job.
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4. In **Job settings** step, add your training code (and input/output data) and reference it in your command to make sure it's mounted to your job.
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4. In the **Training script** step, add your training code (and input/output data) and reference it in your command to make sure it's mounted to your job.
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:::image type="content" source="./media/interactive-jobs/sleep-command.png" alt-text="Screenshot of reviewing a drafted job and completing the creation.":::
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> [!NOTE]
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> If you use `sleep infinity`, you will need to manually [cancel the job](./how-to-interactive-jobs.md#end-job) to let go of the compute resource (and stop billing).
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5. In compute settings, expand the option for **Training applications**. Select at least one training application you want to use to interact with the job. If you don't select an application, the debug feature won't be available.
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5. In **Compute** settings, expand the option for **Training applications**. Select at least one training application you want to use to interact with the job. If you don't select an application, the debug feature won't be available.
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:::image type="content" source="./media/interactive-jobs/select-training-apps.png" alt-text="Screenshot of selecting a training application for the user to use for a job.":::
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