Monitor and Tune Workloads ARA-C01 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   While reviewing the Query Profile for a slow-running query, you notice that the 'Spilled Data' metric shows a large amount of data written to local storage. What does this indicate?

   • AThe query is using a warehouse that is too large for the workload.
   • BThe query is exceeding the available memory for operations like sorting or joining, causing intermediate results to be written to disk.
   • CThe query is reading data from remote storage instead of the local cache.
   • DThe query is using a clustering key that is not optimal for the filter predicates.
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2. 2foundation · easy

   What is the primary benefit of using a materialized view in Snowflake?

   • AIt pre-computes and stores query results, so subsequent queries can read the stored results instead of recomputing them.
   • BIt allows queries to bypass the warehouse entirely.
   • CIt automatically updates the base table when the view is queried.
   • DIt ensures that the view always returns the latest data without any delay.
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4. 3foundation · easy

   What is the recommended approach for optimizing data file sizes when loading data from external storage?

   • ALoad all data into a single file for maximum performance.
   • BLoad files as-is, regardless of size, because Snowflake automatically optimizes them.
   • CUse the COPY command with the FILE_FORMAT option to automatically merge files.
   • DPre-process files to be in the range of 50-500 MB compressed before loading.
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5. 4application · medium

   A logistics company loads a 'shipments' table daily using COPY INTO. The table has 50 million rows per day, and queries often filter on 'shipment_date'. The table currently has no clustering key, and the Query Profile shows high scan overhead due to many small files. What is the most effective way to improve query performance?

   • AIncrease the warehouse size to handle the scan more efficiently.
   • BEnable the Search Optimization Service on shipment_date.
   • CSet the COPY INTO command to load data into a single file per day.
   • DUse a clustering key on shipment_date and rely on automatic clustering to reorganize data.
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6. 5foundation · easy

   What is the main benefit of using a multi-cluster warehouse in Snowflake?

   • AIt reduces storage costs by compressing data more efficiently.
   • BIt provides a larger single compute resource for complex queries.
   • CIt automatically optimizes query plans for better performance.
   • DIt allows multiple queries to run concurrently without waiting, by automatically adding or removing clusters based on load.
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