Explain how CDF can be used to optimize data processing workflows in a scenario where frequent updates and deletions occur. Describe the steps you would take to leverage CDF for efficient handling of these operations, including any necessary code modifications to implement this optimization.

Simulated

CDF is not suitable for handling frequent updates and deletions; manual tracking is required.

2.1%

CDF can optimize data processing by tracking changes and applying them efficiently, reducing the overhead of frequent updates and deletions.

96.9%

Frequent updates and deletions require a complete reprocessing of the dataset, regardless of CDF.

0.0%

CDF only handles insert operations; updates and deletions must be managed separately.

1.0%

Databricks Certified Data Engineer - Professional