Which new GPU instance types are now supported in Databricks?"
2. "How can I enable deletion vectors automatically on all new Delta tables in Databricks Runtime 14.0 and above?"
3. "What is the new feature that allows conditional logic in Databricks workflows?"
4. "How can I view and copy the YAML source for a Databricks job?"
5. "What is the new Partner Connect support for Dataiku in Databricks?"
6. "How can I use the new Predictive optimization feature in Delta Lake?"
7. "What are the new system tables available in the system.compute schema?"
8. "How can I compute features on-demand at inference time in Databricks?"
9. "What is the new Feature Engineering in Unity Catalog feature and how can I use it?"
10. "Is there a new feature that allows adding parameters to Databricks jobs that can be referenced by all job tasks?
1. Databricks has added support for P4de and P5 instance types.
2. You can enable deletion vectors on all new Delta tables in Databricks Runtime 14.0 and above with the workspace admin setting Auto-Enable Deletion Vectors.
3. The new feature that allows conditional logic in Databricks workflows is the If/else condition task.
4. You can view and copy the YAML source for a job by clicking on the job details page and selecting View YAML/JSON.
5. Partner Connect now supports connecting your Databricks workspace to Dataiku.
6. Predictive optimization removes the need to manually manage maintenance operations for Delta tables. It is currently in Public Preview.
7. The system.compute schema contains two new tables: clusters and node_types.
8. You can compute features on-demand at inference time in Databricks using on-demand feature computation, which is now generally available.
9. Feature Engineering in Unity Catalog allows you to use any Delta table with a primary key as a feature table for model training or inference. It is now generally available.
10. Yes, you can now add parameters to your Databricks jobs that are automatically passed to all job tasks that accept key-value pairs.