A new data engineer attempts to create a job using the Databricks REST API by posting the following JSON to the 2.0/jobs/create endpoint:

{
  "name": "new_job",
  "existing_cluster_id": "1198-132537-dht25rtr",
  "spark_python_task": {
    "python_file": "dbfs:/first_method.py"
  }
}

{
  "name": "new_job",
  "existing_cluster_id": "1198-132537-dht25rtr",
  "spark_python_task": {
    "python_file": "dbfs:/first_method.py"
  }
}

Another data engineer from the same team tries to create a job using the following JSON:

{
  "name": "new_job",
  "existing_cluster_id": "1198-132537-dht25rtr",
  "spark_python_task": {
    "python_file": "dbfs:/example.py"
  }
}

{
  "name": "new_job",
  "existing_cluster_id": "1198-132537-dht25rtr",
  "spark_python_task": {
    "python_file": "dbfs:/example.py"
  }
}

Assuming the first job is created successfully, what happens when the second data engineer tries to create the job?_