How to solve BeamDeprecationWarning in Apache-Beam

First, Code for storing data in google cloud platform bigQuery tables after generating simple data. Imported Apache-Beam library and used it. Runner used Google Cloud Platform Dataflow.

Here code.

from apache_beam.options.pipeline_options import PipelineOptions
import apache_beam as beam

pipeline_options = PipelineOptions(
     project='project-id',
     runner='runner',
     temp_location='bucket-location'
)
def pardo_dofn_methods(test=None):
   import apache_beam as beam 
 class testFunction(beam.DoFn):
    def process(self, element):
        result = element.split(',')

        testing = {'test_column': result[0], 'test_column2': result[1], 'test_column3': result[2],
                       'test_column4': result[3]}
        return [testing]

    def finish(self):
        print('finish')

with beam.Pipeline(options=pipeline_options) as pipeline:
  results = (
      pipeline
      | 'Generating data' >> beam.Create([
          'test1,test2,test3,test4'
          'test5,test6,test7,test8'
       ])
      | beam.ParDo(testFunction())
      | beam.io.WriteToBigQuery(
            'project-id:bigQuery-dataset.table-name',
            schema='test_column:STRING, test_column2:STRING, test_column3:STRING, test_column4:STRING',
            create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,
            write_disposition=beam.io.BigQueryDisposition.WRITE_TRUNCATE
      )
  )

pardo_dofn_methods()

It works well when run it. However, there are two warnings:

BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
 experiments = p.options.view_as(DebugOptions).experiments or []

BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use WriteToBigQuery instead.
kms_key=self.kms_key))

I don't know why there is a warning. Thank you.