Databricks Related Exams
Databricks-Certified-Data-Engineer-Associate Exam
A data engineer needs to combine sales data from an on-premises PostgreSQL database with customer data in Azure Synapse for a comprehensive report. The goal is to avoid data duplication and ensure up-to-date information
How should the data engineer achieve this using Databricks?
A data engineer has written a function in a Databricks Notebook to calculate the population of bacteria in a given medium.

Analysts use this function in the notebook and sometimes provide input arguments of the wrong data type, which can cause errors during execution.
Which Databricks feature will help the data engineer quickly identify if an incorrect data type has been provided as input?
A data engineer is joining a very large events_df DataFrame containing billions of rows with a small country_lookup_df DataFrame containing fewer than 10,000 rows. The DataFrames are joined on the country_code column. The join is slow because of data shuffling.
How should the data engineer improve performance?