
DatabricksCertified Data Engineer Associate
Domain 4Objective 1
Implement Control Flows (retries and Conditional Tasks Such as Branching and Looping) Using Lakeflow Jobs for Pipeline Orchestration DATA-ENGINEER-ASSOCIATE Practice Questions (Page 1)
Part of the Working with Lakeflow Jobs domain, which accounts for 16% of the DATA-ENGINEER-ASSOCIATE exam. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 2–3 from this objective — we provide 12 practice questions to prepare you well beyond it. (estimate)
12questions here
3free pages
5concepts
16%of the exam
Questions 1–5
- 1
In Lakeflow Jobs, which task setting determines the maximum number of times a failed task will be automatically re-run before the task is marked as failed?
Select an answer first - 2
Which Lakeflow Jobs capability is used to combine retries, branching, and looping into a single automated workflow?
Select an answer first - 3
A data engineer needs to process a variable number of input files that arrive throughout the day. The list of files is stored in a Delta table. The engineer wants the Lakeflow Jobs pipeline to process each file by running a notebook that takes a file path as a parameter. Which approach should they use?
Select an answer first - 4
A data engineer needs to run the same data validation task for each of 10 different source tables. Which Lakeflow Jobs construct is designed to iterate over a list of items and execute a task for each item?
Select an answer first - 5
A Lakeflow Jobs task runs a Python script that exits with code 0 on success, code 1 on a data validation error, and code 2 on a transient timeout. The engineer wants the task to retry only on the timeout (exit code 2). Which retry condition should they configure?
Select an answer first
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