A data engineer has a Job that has a complex run schedule, and they want to transfer that schedule to other Jobs. Rather than manually selecting each value in the scheduling form in Databricks…

The correct answer is D. Cron syntax. Databricks Jobs support scheduling via cron syntax, which is a standard, portable format for expressing complex recurring schedules (e.g., 0 8 MON-FRI for 8 AM on weekdays). Cron expressions can be written as strings and submitted programmatically via the Databricks Jobs API or…

Submitted by miguelv· Apr 18, 2026Deployment and Operations

Question

A data engineer has a Job that has a complex run schedule, and they want to transfer that schedule to other Jobs. Rather than manually selecting each value in the scheduling form in Databricks, which of the following tools can the data engineer use to represent and submit the schedule programmatically?

Options

Apyspark.sql.types.DateType
Bdatetime
Cpyspark.sql.types.TimestampType
DCron syntax
EThere is no way to represent and submit this information programmatically

How the community answered

(49 responses)

A
2% (1)
C
2% (1)
D
90% (44)
E
6% (3)

Explanation

Databricks Jobs support scheduling via cron syntax, which is a standard, portable format for expressing complex recurring schedules (e.g., 0 8 * * MON-FRI for 8 AM on weekdays). Cron expressions can be written as strings and submitted programmatically via the Databricks Jobs API or Terraform, making them easy to copy and reuse across multiple Jobs. The other options (pyspark.sql.types.DateType, datetime, TimestampType) are data type or Python library constructs unrelated to job scheduling.

Topics

#Databricks Jobs#Job Scheduling#Cron#Programmatic Scheduling

Community Discussion

No community discussion yet for this question.

Full DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE Practice