Executed a spark-submit job through databricks cli with the following job configurations.

{
  "job_id": 123,
  "creator_user_name": "******",
  "run_as_user_name": "******",
  "run_as_owner": true,
  "settings": {
    "name": "44aa-8447-c123aad310",
    "email_notifications": {},
    "max_concurrent_runs": 1,
    "tasks": [
      {
        "task_key": "4aa-8447-c90aad310",
        "spark_submit_task": {
          "parameters": [
            "--driver-memory 3G",
            "--executor-memory 3G",
            "--conf",
            "spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=2",
            "--conf",
            "spark.speculation=false",
            "--conf",
            "spark.sql.parquet.fs.optimized.committer.optimization-enabled=true",
            "--conf",
            "spark.executorEnv.JAVA_HOME=/usr/lib/jvm/jdk-11.0.1",
            "--conf",
            "spark.executor.instances=3",
            "--conf",
            "spark.network.timeout=600s",
            "--conf",
            "spark.yarn.appMasterEnv.JAVA_HOME=/usr/lib/jvm/jdk-11.0.1",
            "--conf",
            "spark.driver.maxResultSize=1g",
            "--conf",
            "spark.yarn.maxAppAttempts=1",
            "--jars",
            "/home/hadoop/somejar.jar,/home/hadoop/somejar2.jar",
            "--class",
            "we.databricks.some.path.ER",
            "/home/hadoop/some-jar-SNAPSHOT.jar",
            "'******'"
          ]
        },
        "new_cluster": {
          "spark_version": "10.4.x-scala2.12",
          "spark_conf": {
            "spark.databricks.delta.preview.enabled": "true",
            "spark.hadoop.fs.azure.account.key": "******"
          },
          "node_type_id": "Standard_DS3_v2",
          "custom_tags": {
            "application": "******",
            "name": "******",
            "environment": "******",
            "owner": "******",
            "CURRENT_VERSION": "1.20.0-ab6303d9d"
          },
          "cluster_log_conf": {
            "dbfs": {
              "destination": "******"
            }
          },
          "spark_env_vars": {
            "ENVIRONMENT": "******",
            "AZURE_ACCOUNT_KEY": "******",
            "AZURE_ACCOUNT_NAME": "******",
            "PYSPARK_PYTHON": "/databricks/python3/bin/python3",
            "JNAME": "zulu11-ca-amd64",
            "AZURE_CONTAINER_NAME": "******"
          },
          "enable_elastic_disk": true,
          "init_scripts": [
            {
              "abfss": {
                "destination": "******"
              }
            }
          ],
          "num_workers": 3
        },
        "timeout_seconds": 0
      }
    ],
    "format": "MULTI_TASK"
  },
  "created_time": 1662096418457
}

But this gives error in spark submit. Error: Unrecognized option: --executor-memory 3G