Databricks Certified Data Engineer - Associate

Explanation

Delta Live Tables (DLT) pipelines are created and managed from the Jobs page in Databricks, not from the Data or Compute pages. Here's why:

• Option B is correct: The Jobs page is where you create and manage all types of jobs in Databricks, including Delta Live Tables pipelines. This is the primary interface for scheduling and orchestrating data processing workflows.

• Option A is incorrect: The Data page is primarily for exploring and managing datasets, tables, and databases, not for creating pipelines.

• Option C is incorrect: The Compute page is for managing compute clusters and SQL warehouses, not for creating pipelines.

• Option D and E are incorrect: While DLT supports both Python (using the dlt library) and SQL (using CREATE LIVE TABLE statements), refactoring notebooks is not mandatory for using DLT. You can reference existing notebooks in a DLT pipeline without refactoring them, as long as they contain valid DLT code. The key requirement is creating the pipeline from the Jobs page.

Key Point: The essential step for implementing a DLT pipeline is creating it from the Jobs page, where you can specify the notebooks to run, their execution order, and other pipeline configurations.