Snowflake Certification Practice Test

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Improve your knowledge and prepare effectively for the Snowflake Certification Test with our comprehensive practice quiz. Study with detailed flashcards and multiple choice questions. Get ready to ace your exam!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

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Does Snowflake support querying of structured data formats?

Only through UDFs
No, it doesn't
Yes, directly using SQL
Only in aggregated form

The correct answer is: Yes, directly using SQL

Snowflake has built-in support for querying structured data formats directly using SQL, making it easy for users to analyze, manipulate, and retrieve data stored in formats like CSV, JSON, Parquet, and Avro. This capability allows users to leverage standard SQL commands to interact with data stored in these formats seamlessly within the Snowflake environment. The SQL queries can access the underlying data without requiring intermediate steps like transformations or aggregations specific to certain functions. The other options present limitations that do not accurately reflect Snowflake's capabilities. The option suggesting querying is possible only through UDFs implies a more complex process, while stating that it doesn't support querying at all is incorrect since querying is a core function of Snowflake. Lastly, the notion that querying occurs only in aggregated form suggests a restriction that does not exist; Snowflake allows for detailed queries on structured data in its native form as well.