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Question No: 1
MultipleChoice
When loading CSV data, what FILE FORMAT option allows you to skip the header row?
Options
Answer Explanation
Snowflake's file format options allow granular control over CSV ingestion. The SKIP_HEADER = 1 parameter instructs Snowflake to ignore the first line of the file, typically containing column headers. This is the correct and official parameter within FILE FORMAT objects or inline COPY INTO options. Other options listed---such as SKIP_FILE_HEADER, IGNORE_HEADER, or HEADER_SKIP---are not valid Snowflake parameters. When SKIP_HEADER is applied, Snowflake begins reading data rows starting from line 2. This ensures proper alignment between file contents and table structure during ingestion. SKIP_HEADER can also be set to values greater than 1 if multiple header rows exist. This behavior is essential when loading structured data where the header row is not intended for table consumption.
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Question No: 2
MultipleChoice
What is the main advantage of using Materialized Views in Snowflake?
Options
Answer CExplanation
Snowflake Materialized Views physically store the results of a defined query. This pre-computation significantly improves performance for repetitive or complex queries, especially those based on aggregations and joins. Snowflake automatically maintains materialized views asynchronously. They do not update in real-time, cannot be changed through DML, and are not intended for masking---dynamic masking policies serve that purpose.