Apply Liquid Clustering to Improve Query Speed When Filtering Large Tables on Specific Columns. DATA-ANALYST-ASSOCIATE Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is a trade-off of using Liquid Clustering on a Delta table?

   • AIt only works on tables with fewer than 1 million rows.
   • BIt may increase write overhead because data is organized during writes.
   • CIt prevents the use of partitioning on the table.
   • DIt requires manual maintenance to keep clustering effective.
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2. 2foundation · easy

   How is Liquid Clustering maintenance handled in Delta Lake?

   • AIt must be manually triggered after every insert.
   • BIt is only maintained when a table is recreated.
   • CIt is fully automatic and requires no user intervention.
   • DIt requires running a nightly batch job to re-cluster data.
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4. 3foundation · easy

   How can you enable Liquid Clustering on an existing Delta table?

   • ARecreate the table with `PARTITIONED BY`
   • BRun `UPDATE TABLE ... SET CLUSTER BY (col)`
   • CRun `ALTER TABLE ... CLUSTER BY (col)`
   • DRun `OPTIMIZE ... CLUSTER BY (col)`
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5. 4foundation · easy

   Which statement best describes Liquid Clustering in Delta Lake?

   • AA partitioning strategy that divides a table into separate directories for each unique value in a column.
   • BAn incremental clustering technique that organizes data files based on one or more columns to improve query performance.
   • CA compression algorithm applied to Delta table files to reduce storage footprint.
   • DA method to physically sort all data in a table by a single column to improve compression.
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6. 5application · medium

   A data engineer has an existing Delta table named `events` that is not clustered. They want to enable Liquid Clustering on the `user_id` column to speed up queries that filter on that column. Which SQL statement should they run?

   • ACREATE TABLE events CLUSTER BY (user_id) AS SELECT * FROM events;
   • BALTER TABLE events CLUSTER BY (user_id);
   • CALTER TABLE events ADD CLUSTERING KEY (user_id);
   • DOPTIMIZE events CLUSTER BY (user_id);
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