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Domain 2Objective 2

Create an Append-Only Data Pipeline Capable of Handling Both Batch and Streaming Data Using Delta. DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 1)

Part of the Data Ingestion & Acquisition domain, which accounts for 7% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~4–6 in this domain), expect 2–3 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here
5free pages
8concepts
7%of the exam

Questions 1–5

  1. 1foundation · easy

    Which output mode should be used with Spark Structured Streaming when writing to a Delta table to ensure only new rows are appended?

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  2. 2application · medium

    A company has a batch job that reads from an external database and writes to a Delta table. They also have a streaming job that reads from a Kafka topic and writes to the same Delta table. The schemas of the two sources are slightly different: the batch source has an extra column 'source_system'. The team wants to store all data in one table without losing the extra column. What should they do?

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  3. 3expert · hard

    A financial services company maintains a Delta table of transaction records that must be strictly append-only for regulatory compliance. They have set 'delta.appendOnly' to true. However, they need to correct a batch of erroneous transactions that were accidentally ingested. The correction must be auditable and must not violate the append-only guarantee. What is the best approach?

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  4. 4foundation · easy

    Which Delta Lake operation is explicitly blocked when the 'delta.appendOnly' table property is enabled?

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  5. 5foundation · easy

    What happens if you attempt to run a DELETE operation on a Delta table with 'delta.appendOnly' set to 'true'?

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