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OSError: libgomp.so.1 No such file or directory

Follow your Azure MLOps - DevOps for Machine Learning (Part 7) in Youtube. I have the same code in Training Model step:

az ml run submit-script -g $(azureml.resourceGroup) -w $(azureml.workspaceName) -e $(experiment.name) --ct $(amlcompute.clusterName) -d conda_dependencies.yml -c train_insurance -t ../metadata/run.json train_aml.py

But when run the pipeline, the error shows in Training Model step:

{
    "error": {
        "code": "UserError",
        "message": "User program failed with OSError: libgomp.so.1: cannot open shared object file: No such file or directory",
        "messageParameters": {},
        "detailsUri": "[https://aka.ms/azureml-run-troubleshooting",](https://aka.ms/azureml-run-troubleshooting%22,)
        "details": []
    },
    "time": "0001-01-01T00:00:00.000Z"
}

The base image that chosen automatically by pipeline: mcr.microsoft.com/azureml/o16n-sample-user-base/ubuntu-miniconda

How could I fix that ? I search google, they show that the image need to install libgomp1 by running apt-get install libgomp1.

How could I do that ?

Module not found error.

I encountered following error in my CI pipeline. I used Ubuntu 18.04 agent and python 3.6. I checked the requirements.txt file and everything is intact.

ERROR: ActivityFailedException:
	Message: Activity Failed:
{
    "error": {
        "code": "UserError",
        "message": "User program failed with ModuleNotFoundError: No module named 'pandas'",
        "messageParameters": {},
        "detailsUri": "[https://aka.ms/azureml-run-troubleshooting",](https://aka.ms/azureml-run-troubleshooting%22,)
        "details": []
    },
    "time": "0001-01-01T00:00:00.000Z"
}
	InnerException None
	ErrorResponse 
{
    "error": {
        "message": "Activity Failed:\n{\n    \"error\": {\n        \"code\": \"UserError\",\n        \"message\": \"User program failed with ModuleNotFoundError: No module named 'pandas'\",\n        \"messageParameters\": {},\n        \"detailsUri\": \"[https://aka.ms/azureml-run-troubleshooting\",\n](https://aka.ms/azureml-run-troubleshooting/%22,/n)        \"details\": []\n    },\n    \"time\": \"0001-01-01T00:00:00.000Z\"\n}"
    }
}

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