Use JDBC/ODBC or REST Clients in Notebooks to Land Data into Cloud Storage or Directly into UnityCatalog–governed Tables, Usually Orchestrated and Scheduled with Lakeflow Jobs. DATA-ENGINEER-ASSOCIATE Practice Questions (Page 5)

Questions 21–23

1. 21foundation · easy

   Which of the following can be configured in a Lakeflow Job to control when a notebook runs?

   • AA JDBC connection string
   • BA Unity Catalog external location
   • CA DataFrame schema
   • DA schedule with a cron expression
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2. 22foundation · easy

   What is the purpose of implementing retry logic in an ingestion task?

   • ATo speed up the ingestion process
   • BTo handle transient failures such as network timeouts
   • CTo permanently fix data quality issues
   • DTo eliminate the need for monitoring
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3. 23application · medium

   A team has two notebooks: one that ingests data from an external source and another that processes the ingested data. They want to schedule the processing notebook to run only after the ingestion notebook succeeds. Which Lakeflow Jobs feature should they use?

   • AUse a Delta Live Tables pipeline to orchestrate the notebooks.
   • BCreate two separate jobs and schedule both at the same time.
   • CUse a single job and run both notebooks sequentially in the same task.
   • DCreate a single job with multiple tasks and set a dependency from the processing task to the ingestion task.
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