In the Admin area of Snowsight, users can analyze query performance, manage Snowflake warehouses, set up and view details about resource monitors, manage users and roles, and administer Snowflake accounts in their organization2.
Question # 305
Which statement MOST accurately describes clustering in Snowflake?
Options:
A.
The database ACCOUNTADMIN must define the clustering methodology for each Snowflake table.
B.
Clustering is the way data is grouped together and stored within Snowflake micro-partitions.
C.
The clustering key must be included in the COPY command when loading data into Snowflake.
D.
Clustering can be disabled within a Snowflake account.
Clustering in Snowflake refers to the organization of data within micro-partitions, which are contiguous units of storage within Snowflake tables. Clustering keys can be defined to co-locate similar rows in the same micro-partitions, improving scan efficiency and query performance12.
[References: [COF-C02] SnowPro Core Certification Exam Study Guide, , ]
Question # 306
Query parsing and compilation occurs in which architecture layer of the Snowflake Cloud Data Platform?
Query parsing and compilation in Snowflake occur within the cloud services layer. This layer is responsible for various management tasks, including query compilation and optimization
Question # 307
How can a Snowflake user optimize query performance in Snowflake? (Select TWO).
To optimize query performance in Snowflake, users can cluster a table, which organizes the data in a way that minimizes the amount of data scanned during queries. Additionally, enabling the searchoptimization service can improve the performance of selective point lookup queries on large tables34.
