How do I create a Delta Live Tables pipeline with a notebook using the Databricks CLI and a bundle configuration file?
To create a Delta Live Tables pipeline with a notebook using the Databricks CLI and a bundle configuration file, follow these steps:

1. Create a bundle configuration file (by convention, named `databricks.yml`) in your project directory. This file should include the following information:

```yaml
# yaml-language-server: $schema=bundle_config_schema.json
name: my-dlt-pipeline
workspace_url: <your-databricks-workspace-url>
notebooks:
  - relative_path: dlt-wikipedia-python.py
    target_path: /path/to/notebook/in/databricks/workspace
pipelines:
  - name: my-dlt-pipeline
    target: /path/to/pipeline/in/databricks/workspace
    settings:
      type: DELTA_LIVE_TABLES
      configs:
        - key: enableContinuous
          value: true
        - key: maxConcurrentRuns
          value: 1
        - key: maxRetries
          value: 1
        - key: minWorkers
          value: 2
        - key: maxWorkers
          value: 4
        - key: idleTimeoutMinutes
          value: 10
        - key: instancePoolId
          value: <your-instance-pool-id>
```

Replace the placeholders (`<your-databricks-workspace-url>` and `<your-instance-pool-id>`) with your actual Databricks workspace URL and instance pool ID.

2. Install the Databricks CLI and configure it with your Databricks workspace credentials.

3. Create the bundle using the Databricks CLI:

```bash
databricks bundle create --project-dir. --bundle-file my-dlt-bundle.json
```

4. Deploy the bundle to your Databricks workspace:

```bash
databricks bundle deploy --bundle-file my-dlt-bundle.json --workspace-dir /
```

5. Validate, deploy, and run the deployed notebook from the pipeline within your Databricks workspace.

For more information, refer to the Databricks documentation on creating a Delta Live Tables pipeline with a notebook using the Databricks CLI and a bundle configuration file.