Apply Liquid Clustering to Improve Query Speed When Filtering Large Tables on Specific Columns. DATA-ANALYST-ASSOCIATE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   How does Liquid Clustering reduce the amount of data scanned during a query?

   • ABy compressing the data files so they are smaller.
   • BBy allowing the query engine to skip files that do not contain matching values for the filter columns.
   • CBy creating indexes on the clustering columns.
   • DBy storing data in memory for faster access.
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A team has a Delta table that receives frequent small inserts throughout the day. They enabled Liquid Clustering on `user_id` and `timestamp`. After a week, they notice that query performance has not improved as expected, and the table has many small files. What is the most likely cause and the best action?

   • AThe clustering is working, but the table needs `OPTIMIZE` to be run regularly to consolidate small files and maintain the clustering layout.
   • BThe clustering columns are wrong; they should use `user_id` only.
   • CThe table should be recreated with clustering enabled from the start.
   • DLiquid Clustering does not work with frequent inserts; they should use partitioning instead.
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   What is the main mechanism that allows Liquid Clustering to speed up filtering queries?

   • AParallel execution across all nodes.
   • BData skipping based on file-level statistics.
   • CIn-memory caching of entire tables.
   • DUsing columnar storage format.
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5. 9application · medium

   A team has a Delta table with columns `order_id` (unique per row), `customer_id` (many orders per customer), and `order_date`. Queries frequently filter on `customer_id` and `order_date`. Which columns should they choose for Liquid Clustering?

   • A`order_date` only
   • B`order_id` only
   • C`customer_id` only
   • D`customer_id` and `order_date`
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   What is the primary benefit of using Liquid Clustering on a large Delta table?

   • AIt automatically compresses data to reduce storage costs.
   • BIt improves query performance by reducing the amount of data scanned for filters on clustering columns.
   • CIt eliminates the need for any table maintenance tasks.
   • DIt reduces the number of files written during each transaction.
   Reveal Solution Discussion Select an answer first