Understand Delta Optimization Techniques, Such as Deletion Vectors and Liquid Clustering. DATA-ENGINEER-PROFESSIONAL Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A data engineer is designing a Delta table for a large dataset that is frequently filtered on a `customer_id` column. The data is appended daily, and the team wants to minimize query latency without manual maintenance. Which approach should they use?

   • AUse Z-ordering on `customer_id` and manually run OPTIMIZE after each append.
   • BPartition the table by `customer_id`.
   • CEnable deletion vectors on the table to improve query performance.
   • DEnable liquid clustering on the `customer_id` column.
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2. 7foundation · easy

   Can deletion vectors and liquid clustering be used together on the same Delta table?

   • ANo, because liquid clustering requires Z-ordering
   • BYes, they address different aspects of performance and can be combined
   • CNo, they are mutually exclusive features
   • DYes, but only if the table is partitioned
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4. 8foundation · easy

   What is a primary benefit of using deletion vectors for DELETE operations?

   • AThey reduce write amplification by avoiding rewrites of entire data files
   • BThey reduce the storage space required for the table
   • CThey eliminate the need for VACUUM operations
   • DThey automatically sort the data for better query performance
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5. 9application · medium

   A data engineer notices that a Delta table with deletion vectors enabled has grown in size due to many small deletes. Queries on the table are becoming slower. What should the engineer do to improve query performance while retaining the benefits of deletion vectors?

   • ADisable deletion vectors and perform a full table rewrite.
   • BUse VACUUM to remove the deletion vector files.
   • CRun OPTIMIZE with the REWRITE DATA option to rewrite files and remove deletion vectors.
   • DIncrease the number of files in the table to distribute the deletion vectors.
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6. 10foundation · easy

   What is the main goal of liquid clustering in Delta Lake?

   • ATo improve query performance by organizing data files based on clustering keys
   • BTo automatically back up the table to a different location
   • CTo encrypt data for security compliance
   • DTo compress data files to reduce storage costs
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