Accessing azure databricks table using spark from azure function

I am trying to access azure databricks table. I have created a time trigger azure function which should connect to the databricks. I have used the jdbc url, personal access token available in ADB

when I run the azure function, I get an error
System.Private.CoreLib: Exception while executing function: GetMetaRegistryData. System.Net.Sockets: No connection could be made because the target machine actively refused it. <>:5567.

SparkSession spark = SparkSession
.Builder()
.AppName("Accessing ADB table from Azure fn")
.GetOrCreate();

DataFrame jdbcDf = spark.Read()
.Format("jdbc")
.Options(
new Dictionary
{
{"url", "jdbc:spark://adb-instanceURL/databasename;transportMode=http;ssl=1;httpPath=sql/protocolv1/o/;UID=token;PWD=peronal acess token"},
{"dbtable", "mytablename"}
})
.Load();

jdbcDf.Show();
spark.Stop();