Which table function will identify data that was loaded using COPY INTO
statements and also identify data loaded using Snowpipe?
Correct : D
The COPY_HISTORY table function in Snowflake is used to track data loading activities, including both manual COPY INTO <table> commands and automated data loading through Snowpipe. This function provides visibility into load operations, making it valuable for monitoring data ingestion, ensuring data integrity, and troubleshooting loading processes.
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Question 2
How can the outer array structure of a semi-structured file be removed?
Correct : A
In Snowflake, the parameter strip_outer_array = true can be set in the COPY INTO <table> command to remove the outer array structure from a semi-structured file. This parameter is useful for JSON files or similar data formats where an array might wrap the data, allowing Snowflake to directly load the inner elements as table rows.
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Question 3
Which command should be used to load data incrementally based on column values that are specified in the source table or subquery?
Correct : A
The MERGE command in Snowflake is used for incremental loading based on column values in a source table or subquery. It enables the insertion, updating, or deletion of records in a target table depending on whether matching rows are found, making it ideal for loading data that changes incrementally, such as daily updates or modifications.
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Question 4
Which data protection feature should only be used when all other data recovery options have been attempted?
Correct : D
The Fail-safe feature in Snowflake is the last-resort data recovery option that should only be used when all other options, such as Time Travel or Cloning, have been exhausted. Fail-safe provides a 7-day recovery period after the Time Travel window has expired but requires Snowflake Support intervention for data recovery. It is intended for disaster recovery and carries additional storage costs.
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Question 5
What virtual warehouse configuration should be used when processing a large number of complex queries?
Correct : D
To handle a large number of complex queries, configuring the warehouse in auto-scale mode by increasing the number of warehouse clusters is recommended. This setup allows Snowflake to dynamically add clusters as demand increases, ensuring better performance and concurrency. Increasing the number of clusters provides scalability for concurrent users and heavy workloads, improving response times without impacting individual query performance.
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