def METHOD_NAME(self) -> None:
    inputs = {
        "uri": Input(
            type=AssetTypes.URI_FILE, path="azureml://datastores/workspaceblobstore/paths/python/data.csv"
        ),
        "data_asset": Input(path="test-data:1"),
        "local_data": Input(path="./tests/test_configs/data/"),
    }
    node = command(
        name="builder-command-job",
        description="description",
        environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33",
        inputs=inputs,
        command="echo ${{inputs.uri}} ${{inputs.data_asset}} ${{inputs.local_data}}",
        display_name="builder-command-job-display",
        compute="testCompute",
        experiment_name="mfe-test1-dataset",
        identity=AmlToken(),
        tags={"tag1": "value1"},
        properties={"prop1": "value1"},
        distribution=MpiDistribution(),
        environment_variables={"EVN1": "VAR1"},
        outputs={"best_model": {}},
        instance_count=2,
        instance_type="STANDARD_BLA",
        locations=["westus"],
        timeout=300,
        code="./",
        queue_settings=QueueSettings(job_tier="standard", priorty="medium"),
    )
    expected_job = CommandJob(
        name="builder-command-job",
        description="description",
        environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33",
        inputs=inputs,
        command="echo ${{inputs.uri}} ${{inputs.data_asset}} ${{inputs.local_data}}",
        display_name="builder-command-job-display",
        compute="testCompute",
        experiment_name="mfe-test1-dataset",
        identity=AmlToken(),
        tags={"tag1": "value1"},
        properties={"prop1": "value1"},
        distribution=MpiDistribution(),
        environment_variables={"EVN1": "VAR1"},
        outputs={"best_model": {}},
        limits=CommandJobLimits(timeout=300),
        resources=JobResourceConfiguration(instance_count=2, instance_type="STANDARD_BLA", locations=["westus"]),
        queue_settings=QueueSettings(job_tier="standard", priorty="medium"),
        code="./",
    )
    assert expected_job._to_dict() == node._to_job()._to_dict()