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Which statement accurately describes how a virtual warehouse functions?
A virtual warehouse in Snowflake is an independent compute cluster that performs data processing tasks such as executing SQL queries. Each virtual warehouse is dynamically allocated by Snowflake from the cloud provider's resources and does not share compute resources with other warehouses. This architecture ensures that the performance of one warehouse does not impact the performance of another. Adjusting the size of a virtual warehouse affects its computational power by increasing or decreasing the number of compute nodes, which can improve the performance of data processing tasks depending on the workload.
References:
Snowflake Documentation: Understanding Virtual Warehouses
What are the benefits of the replication feature in Snowflake? (Select TWO).
The replication feature in Snowflake provides several benefits, with disaster recovery and database failover and fallback being two of the primary advantages. Replication allows for the continuous copying of data from one Snowflake account to another, ensuring that a secondary copy of the data is available in case of outages or disasters. This capability supports disaster recovery strategies by allowing operations to quickly switch to the replicated data in a different account or region. Additionally, it facilitates database failover and fallback procedures, ensuring business continuity and minimizing downtime.
References:
Snowflake Documentation: Data Replication
What is used to denote a pre-computed data set derived from a SELECT query specification and stored for later use?
A materialized view in Snowflake denotes a pre-computed data set derived from a SELECT query specification and stored for later use. Unlike standard views, which dynamically compute the data each time the view is accessed, materialized views store the result of the query at the time it is executed, thereby speeding up access to the data, especially for expensive aggregations on large datasets.
References:
Snowflake Documentation: Materialized Views
Which command should be used to unload all the rows from a table into one or more files in a named stage?
To unload data from a table into one or more files in a named stage, the COPY INTO <location> command should be used. This command exports the result of a query, such as selecting all rows from a table, into files stored in the specified stage. The COPY INTO command is versatile, supporting various file formats and compression options for efficient data unloading.
References:
Snowflake Documentation: COPY INTO Location
Topic 6, Exam pool F
How can network and private connectivity security be managed in Snowflake?
