Simplify Data Layout Decisions and Optimize Query Performance Using Liquid Clustering. DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   How does Liquid Clustering improve query performance?

   • ABy increasing the number of files to parallelize reads
   • BBy reducing the amount of data scanned through data skipping
   • CBy caching data in memory automatically
   • DBy compressing data to reduce storage and I/O
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A team is considering enabling Liquid Clustering on a Delta table that also uses Change Data Feed (CDF) and time travel. They want to ensure these features continue to work. What is the correct assessment?

   • ALiquid Clustering requires disabling time travel to function correctly.
   • BLiquid Clustering disables CDF and time travel, so they must choose one or the other.
   • CLiquid Clustering is only compatible with tables that do not use CDF.
   • DLiquid Clustering is compatible with CDF and time travel, so they can enable it without breaking these features.
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   What is a key advantage of altering clustering keys on an existing Delta table?

   • AIt only works if the table is empty
   • BIt automatically converts the table to a partitioned table
   • CIt requires dropping and recreating the table
   • DIt does not require rewriting existing data
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A data team manages a large Delta table that is queried by multiple departments. Each department filters on different columns, and the data is updated frequently. The team wants to reduce the time spent on layout optimization while maintaining good query performance. What is the best approach?

   • ACreate separate tables for each department with different clustering keys.
   • BPartition the table by every column that is used in filters.
   • CUse Liquid Clustering with a set of clustering keys that cover the most common filters.
   • DRun OPTIMIZE and ZORDER BY on a weekly basis.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   What is data skipping in the context of Delta Lake?

   • AThe process of removing duplicate rows from a table
   • BThe process of skipping corrupted files during recovery
   • CThe ability to avoid reading files that do not contain relevant data based on statistics
   • DThe ability to skip schema validation during writes
   Reveal Solution Discussion Select an answer first