DEA-C02 Exam Dumps | You have created a Snowflake Iceberg table that points to data in an AWS S3 bucket. After some initial

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Question 58/149

You have created a Snowflake Iceberg table that points to data in an AWS S3 bucket. After some initial data ingestion, you realize that the schema in the Iceberg table does not perfectly match the schema of the underlying Parquet files in S3. Specifically, one of the columns in the Iceberg table is defined as 'VARCHAR , while the corresponding column in the Parquet files is stored as 'INT. What will be the most likely behavior when you query this Iceberg table in Snowflake?

A. Snowflake will automatically cast the SINT' data in the Parquet files to 'VARCHAR during query execution, and the query will succeed without any errors or warnings.

B. The query will fail with an error indicating a data type mismatch between the Iceberg table schema and the underlying Parquet file schema.

C. The query will succeed, but the 'VARCHAR column will contain 'NULL' values for all rows where the underlying Parquet files contain 'INT' values.

D. The query will succeed, but the result will be unpredictable and may vary depending on the specific data values in the Parquet files.

E. Snowflake will attempt to cast the data, and if a cast fails (e.g., 'INT' value is too large to fit in 'VARCHAR), the query will return an error only for those specific rows. Other rows will be processed correctly.

Correct Answer: B

Snowflake enforces schema validation for Iceberg tables. If the data types in the Iceberg table schema do not match the data types in the underlying Parquet files, the query will fail with an error. This is because Snowflake relies on the Iceberg metadata to understand the data types and structure of the data in the Parquet files. A mismatch indicates a problem with the Iceberg table definition or the underlying data and should be corrected to ensure data integrity. While Snowflake is often flexible with implicit casting, in the context of Iceberg tables and schema enforcement, a type mismatch will lead to a query failure.

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