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[ISSUE] select_spark_version does not find latest runtime version by default #1086

@krajewf

Description

@krajewf

Description
select_spark_version does not return the latest DB Runtime when using default parameters

Reproduction

%python
from databricks.sdk import WorkspaceClient
w = WorkspaceClient()
print(w.clusters.select_spark_version())

returns latest as DB Runtime 16 e.g. 16.4.x-scala2.12

Expected behavior
expected latest DB Runtime 17 e.g. 17.3.x-scala2.13

Is it a regression?
No

Additional context
The default scala parameter is set to 2.12 and the scala version for latest DB Runtime 17 is 2.13.
Having a default parameter for scala in this case filters the results to DB Runtime 16 by default as there is no DB Runtime 17 version available using scala 2.12

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