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Let's break down this code snippet: First, we import the `sql` module from the `databricks` package. This makes the `sql.connect()` function available for use. Next, we use a `with` statement to create a connection to the Databricks SQL endpoint. The `sql.connect()` function takes several parameters, including `server_hostname`, `http_path`, and `access_token`. Replace `'your_server_hostname'` with the hostname of your Databricks SQL endpoint. You can find this in the Databricks UI under the SQL endpoint details. Replace `'your_http_path'` with the HTTP path of your Databricks SQL endpoint. This is also available in the Databricks UI under the SQL endpoint details. And replace `'your_access_token'` with the personal access token you created earlier. It's crucial to keep this token secure! *The `with` statement ensures that the connection is properly closed* after you're done using it, even if errors occur. This is good practice for managing resources and preventing connection leaks. Once the connection is established, we create a cursor object using `connection.cursor()`. The cursor is used to execute SQL queries and fetch the results. We then execute a simple SQL query using `cursor.execute(
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