
DatabricksCertified Data Engineer Professional
Domain 10Objective 1
Design and Implement Scalable Data Models Using Delta Lake to Manage Large Datasets. DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 6)
Part of the Data Modeling domain, which accounts for 6% of the DATA-ENGINEER-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~3–5 in this domain), expect 1–1 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)
29questions here
6free pages
7concepts
6%of the exam
Questions 26–29
- 26
A company has a Delta Lake table that stores customer orders. They need to retain data for 90 days for operational reporting, but they also need to keep the table performant. They run nightly jobs that update the table. They currently run VACUUM with a retention period of 7 days. What should they do to manage the table lifecycle?
Select an answer first - 27
A company has a Delta Lake table that stores web analytics data. The table is partitioned by `date`. Queries often filter on `page_url` and `user_id`. The team has noticed that queries are slow and want to improve performance. They are considering Z-ordering and partitioning. What should they do?
Select an answer first - 28
A data engineering team manages a large Delta Lake table that stores clickstream data. The table is partitioned by `date` and `hour`. Queries often filter on `session_id` and `campaign_id`. The team has noticed that queries are slow and want to improve performance. They are considering Z-ordering and partitioning. What should they do?
Select an answer first - 29
A data engineer wants to improve the performance of queries that frequently filter on a specific column with high cardinality. Which Delta Lake optimization technique is most appropriate?
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