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What happens?",[142,144,146,148],{"key":112,"text":143},"It is created normally; joins are supported",{"key":115,"text":145},"Creation fails; joins are unsupported here",{"key":118,"text":147},"The join is dropped; only the first table is materialized",{"key":121,"text":149},"It is created but auto-converted into a regular view","Snowflake materialized views cannot be defined over a query that joins tables, including self-joins; the defining query must be based on a single table.",{"id":152,"topic":9,"difficulty":139,"body":153,"options":154,"correct_key":121,"explanation":163},"01a00fd5-7cf6-7e26-8d29-ace30fa3ae55","In Snowflake, how does a materialized view stay up to date as its base table changes, from the user's point of view?",[155,157,159,161],{"key":112,"text":156},"The user must run REFRESH after every change",{"key":115,"text":158},"It never updates; it must be dropped and recreated",{"key":118,"text":160},"The user must schedule a task that rewrites its data",{"key":121,"text":162},"An automatic background service maintains it","Snowflake materialized view maintenance is fully automatic: a background service updates the view as the base table changes, so there is no user-facing REFRESH command, unlike some other warehouses.",{"id":165,"topic":9,"difficulty":139,"body":166,"options":167,"correct_key":115,"explanation":176},"01a00fd5-7cf8-7809-8fb8-ccc42a825eda","```sql\nCREATE MATERIALIZED VIEW mv_scored AS\nSELECT id, my_custom_udf(amount) AS scored_amount\nFROM orders;\n```\nIn Snowflake, what happens when this statement runs, given `my_custom_udf` is a user-defined function?",[168,170,172,174],{"key":112,"text":169},"It succeeds; any UDF is fully supported",{"key":115,"text":171},"It fails; UDFs of any kind are not allowed",{"key":118,"text":173},"It succeeds only for SQL-language UDFs",{"key":121,"text":175},"It succeeds but the UDF runs once, at creation","Snowflake explicitly disallows UDFs — including external functions — inside a materialized view's defining query, so this CREATE statement fails regardless of the UDF's implementation language.",{"id":178,"topic":9,"difficulty":179,"body":180,"options":181,"correct_key":112,"explanation":190},"01a00fd5-7cfa-7ee3-a2ed-7312c4e01823",3,"A team has a large Snowflake materialized view and notices that queries filtering on a specific column still scan a large portion of the view's stored data. What can they configure on the materialized view itself to improve pruning for that filter?",[182,184,186,188],{"key":112,"text":183},"A clustering key on the materialized view",{"key":115,"text":185},"A foreign key constraint on the materialized view",{"key":118,"text":187},"Nothing; only base tables allow such settings",{"key":121,"text":189},"A secondary index via CREATE INDEX","Snowflake allows defining a clustering key directly on a materialized view, which reorganizes its stored micro-partitions to improve pruning for filters on that key — though it adds its own maintenance 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