You can run conda list | grep mkl to see the version you have. If you still can’t figure it out, you might want to try setting up again from scratch with proven working setup.
If you are setting up the environment for fast.ai with latest pytorch on Azure, you can try setting up with the following proven steps

Create a new Deep Learning Virtual Machine resource, and choose Linux, new Resource Group (easier to manage later), HDD, NC6
Connect to the VM: ssh username@ip

Download the setup script: curl http://files.fast.ai/setup/paperspace -o setup.sh

Remove line sudo rm '/etc/apt/apt.conf.d/*.*' using vim setup.sh

Make script executable: chmod +x setup.sh

Execute the script: ./setup.sh

Follow the script and reboot after successful installation, everything should be setup with latest installs.

Important: Downgrade mkl back to prior version: conda install mkl=2018.0.1