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Depends on what you're looking for from a management perspective, but one option is the Account API which allows deploying/updating/configuring multiple workspaces in a given E2 accountUse this API to programmatically deploy, update, and delete works...

curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2020-09-01" | jq '.compute.tagsList[] | select(.name=="Creator") | .value'

This is designed for optimal user experience and as a capacity planning strategy where if instances are not available in one AZ, the other subnet in a different AZ can be used to deploy instance from instead

No, each table must be defined once. You can Use UNION If you need to combine multiple inputs to create a table. Adding or removing UNION from an incremental table is a breaking operation that requires a full-refresh.

Checkout the configuration storage under settings . If you didn't specify the  storage  setting, the system will default to a location in  dbfs:/pipelines/

Yes, in your write stream you can save it as a table in the delta format without a problem. In DBR 8, the default table format is delta. See this code, please note that the "..." is supplied to show that additional options may be required: df.writeSt...

The documentation at https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#mixing-complete-tables-and-incremental-tables has an example the first two functions load data incrementally and the last one loads...

You could change the table properties of the associated tables to disable automatic scheduled optimizations. More details at https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-language-ref.html#table-properties