Implement Control Flows (retries and Conditional Tasks Such as Branching and Looping) Using Lakeflow Jobs for Pipeline Orchestration DATA-ENGINEER-ASSOCIATE Practice Questions (Page 3)

Questions 11–12

1. 11foundation · easy

   Which Lakeflow Jobs feature allows a pipeline to execute a 'data quality check' task only if a preceding 'data ingestion' task succeeds, and to execute an 'alert' task if it fails?

   • ATask timeout
   • BConditional branching
   • CRetry policy
   • DLooping construct
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2. 12application · medium

   A data engineer needs to run the same data quality checks on a list of 50 tables. The checks are defined in a single notebook that accepts a table name as a parameter. The engineer wants to avoid creating 50 separate tasks in the Lakeflow Jobs UI. Which approach should they use?

   • AUse conditional branching to run the notebook for each table based on a condition.
   • BUse a retry policy on a single task to run the notebook multiple times.
   • CUse a loop in the job that iterates over the list of tables and runs the notebook for each table.
   • DCreate 50 separate tasks, each with a different table name parameter.
   Reveal Solution Discussion Select an answer first