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DatabricksCertified Data Engineer Associate

Domain 4Objective 2

Configure Common Tasks (notebook, SQL Query, Dashboard, and Pipeline Tasks) and Their Dependencies Using Lakeflow Jobs and Its DAG‑based Task Graph DATA-ENGINEER-ASSOCIATE Practice Questions (Page 2)

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 15 practice questions to prepare you well beyond it. (estimate)

15questions here
3free pages
6concepts
16%of the exam

Questions 6–10

  1. 6foundation · medium

    When configuring a SQL query task in Lakeflow Jobs, which compute resource is required?

    Select an answer first
  2. 7application · medium

    A data engineering team uses Delta Live Tables (DLT) to build a medallion architecture. They have a DLT pipeline named `sales_pipeline` that processes raw data into bronze, silver, and gold tables. The team wants to trigger this pipeline from a Lakeflow Job after a data ingestion task completes. Which task configuration should they use?

    Select an answer first
  3. 8foundation · medium

    In a Lakeflow Jobs DAG, how is a dependency between two tasks defined?

    Select an answer first
  4. 9application · medium

    A data science team has a Lakeflow Job that runs a notebook task `train_model`. The notebook requires a specific cluster configuration with GPU support and a specific runtime version. The team wants to ensure the notebook always runs on the correct compute. What should they configure in the notebook task?

    Select an answer first
  5. 10foundation · medium

    When a dashboard task runs, what happens?

    Select an answer first
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