{CI} Deal with CredScan upgrade

[haroldrandom]

One of the suppression comes from:

The definition is

class AzureMlLinkedService(LinkedService):
    """Azure ML Studio Web Service linked service.

    All required parameters must be populated in order to send to Azure.

    :param additional_properties: Unmatched properties from the message are deserialized to this
     collection.
    :type additional_properties: dict[str, object]
    :param type: Required. Type of linked service.Constant filled by server.
    :type type: str
    :param connect_via: The integration runtime reference.
    :type connect_via: ~data_factory_management_client.models.IntegrationRuntimeReference
    :param description: Linked service description.
    :type description: str
    :param parameters: Parameters for linked service.
    :type parameters: dict[str, ~data_factory_management_client.models.ParameterSpecification]
    :param annotations: List of tags that can be used for describing the linked service.
    :type annotations: list[object]
    :param ml_endpoint: Required. The Batch Execution REST URL for an Azure ML Studio Web Service
     endpoint. Type: string (or Expression with resultType string).
    :type ml_endpoint: object
    :param api_key: Required. The API key for accessing the Azure ML model endpoint.
    :type api_key: ~data_factory_management_client.models.SecretBase
    :param update_resource_endpoint: The Update Resource REST URL for an Azure ML Studio Web
     Service endpoint. Type: string (or Expression with resultType string).
    :type update_resource_endpoint: object
    :param service_principal_id: The ID of the service principal used to authenticate against the
     ARM-based updateResourceEndpoint of an Azure ML Studio web service. Type: string (or Expression
     with resultType string).
    :type service_principal_id: object
    :param service_principal_key: The key of the service principal used to authenticate against the
     ARM-based updateResourceEndpoint of an Azure ML Studio web service.
    :type service_principal_key: ~data_factory_management_client.models.SecretBase
    :param tenant: The name or ID of the tenant to which the service principal belongs. Type:
     string (or Expression with resultType string).
    :type tenant: object
    :param encrypted_credential: The encrypted credential used for authentication. Credentials are
     encrypted using the integration runtime credential manager. Type: string (or Expression with
     resultType string).
    :type encrypted_credential: object
    """

    _validation = {
        'type': {'required': True},
        'ml_endpoint': {'required': True},
        'api_key': {'required': True},
    }

    _attribute_map = {
        'additional_properties': {'key': '', 'type': '{object}'},
        'type': {'key': 'type', 'type': 'str'},
        'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
        'description': {'key': 'description', 'type': 'str'},
        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
        'annotations': {'key': 'annotations', 'type': '[object]'},
        'ml_endpoint': {'key': 'typeProperties.mlEndpoint', 'type': 'object'},
        'api_key': {'key': 'typeProperties.apiKey', 'type': 'SecretBase'},
        'update_resource_endpoint': {'key': 'typeProperties.updateResourceEndpoint', 'type': 'object'},
        'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
        'service_principal_key': {'key': 'typeProperties.servicePrincipalKey', 'type': 'SecretBase'},
        'tenant': {'key': 'typeProperties.tenant', 'type': 'object'},
        'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
    }

    def __init__(
        self,
        *,
        ml_endpoint: object,
        api_key: "SecretBase",  # This line get CredScan complain. And no idea why it has the default value
        additional_properties: Optional[Dict[str, object]] = None,
        connect_via: Optional["IntegrationRuntimeReference"] = None,
        description: Optional[str] = None,
        parameters: Optional[Dict[str, "ParameterSpecification"]] = None,
        annotations: Optional[List[object]] = None,
        update_resource_endpoint: Optional[object] = None,
        service_principal_id: Optional[object] = None,
        service_principal_key: Optional["SecretBase"] = None,
        tenant: Optional[object] = None,
        encrypted_credential: Optional[object] = None,
        **kwargs
    ):
        super(AzureMlLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations, **kwargs)
        self.type = 'AzureML'  # type: str
        self.ml_endpoint = ml_endpoint
        self.api_key = api_key
        self.update_resource_endpoint = update_resource_endpoint
        self.service_principal_id = service_principal_id
        self.service_principal_key = service_principal_key
        self.tenant = tenant
        self.encrypted_credential = encrypted_credential

@qiaozha who is the original author of this extension will follow up on this

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