def METHOD_NAME(
    self, yaml_spec: dict, for_load=False
) -> Tuple[Callable[..., Component], Callable[[Any], Schema]]:
    """Get registered functions to create an instance and its corresponding schema for the given type.
    :param yaml_spec: The YAML specification.
    :type yaml_spec: dict
    :param for_load: Whether the function is called for loading a component. Defaults to False.
    :type for_load: bool
    :return: A tuple containing the create_instance_func and create_schema_func.
    :rtype: tuple
    """
    _type = get_type_from_spec(yaml_spec, valid_keys=self._create_instance_funcs)
    # SparkComponent and InternalSparkComponent share the same type name, but they are different types.
    if for_load and is_internal_component_data(yaml_spec, raise_if_not_enabled=True) and _type == NodeType.SPARK:
        from azure.ai.ml._internal._schema.node import NodeType as InternalNodeType
        _type = InternalNodeType.SPARK
    create_instance_func = self._create_instance_funcs[_type]
    create_schema_func = self._create_schema_funcs[_type]
    return create_instance_func, create_schema_func