What feature can be used to reorganize a very large table on one or more columns?
Correct Answer: C
Question 597
True or False: It is possible to unload structured data to semi-structured formats such as JSON and parquet.
Correct Answer: B
Question 598
What does the Activity area of Snowsight allow users to do? (Select TWO).
Correct Answer: B,C
The Activity area of Snowsight, Snowflake's web interface, allows users to perform several important tasks related to query management and performance analysis. Among the options provided, the correct ones are: * B. Explore each step of an executed query: Snowsight provides detailed insights into query execution, * including the ability to explore the execution plan of a query. This helps users understand how a query was processed, identify performance bottlenecks, and optimize query performance. * C. Monitor queries executed by users in an account: The Activity area enables users to monitor the queries that have been executed by users within the Snowflake account. This includes viewing the history of queries, their execution times, resources consumed, and other relevant metrics. These features are crucial for effective query performance tuning and ensuring efficient use of Snowflake's resources. References: * Snowflake Documentation on Snowsight: Using Snowsight
Question 599
Which command should be used to load data incrementally based on column values that are specified in the source table or subquery?
Correct Answer: 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.
Question 600
What action can a user take to address query concurrency issues?
Correct Answer: C
To address query concurrency issues, a user can add additional clusters to the virtual warehouse. This allows for the distribution of queries across multiple clusters, reducing the load on any single cluster and improving overall query performance2.
