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Yes, I have an example of a JSON record response from the [Schema Reference](https://docs.airbyte.com/connector-development/schema-reference) extract:

json {   "id": "hashidstring",   "date_created": "2022-11-22T01:23:45",   "date_updated": "2023-12-22T01:12:00",   "total": 1000,   "status": "published",   "example_obj": {     "steps": "walking",     "count_steps": 30   },   "example_string_array": ["first_string", "second_string"] }

This JSON object represents a sample record with various data types, including strings, numbers, objects, and arrays.

Yes, I have a policy template for AWS data lake ingestion. The policy used by the user or the role must have access to the following services: - AWS Lake Formation - AWS Glue - AWS S3 You can use the [AWS policy generator](https://awspolicygen.s3.amazonaws.com/policygen.html) to help you generate an appropriate policy. Please also make sure that the role or user you will use has appropriate permissions on the database in AWS Lakeformation. You will find more information about Lake Formation permissions in the [AWS Lake Formation Developer Guide](https://docs.aws.amazon.com/lake-formation/latest/dg/lake-formation-permissions.html). [Source](https://docs.airbyte.com/integrations/destinations/aws-datalake)