Question
Table of Contents
Which statement describes Snowflake tables?
A. Snowflake tables are logical representations of underlying physical data.
B. Snowflake tables are the physical instantiation of data loaded into Snowflake.
C. Snowflake tables require that clustering keys be defined to perform optimally.
D. Snowflake tables are owned by a user.
Answer
A. Snowflake tables are logical representations of underlying physical data.
Explanation
The correct answer is A. Snowflake tables are logical representations of underlying physical data.
Snowflake tables are the primary objects for storing and querying data in Snowflake. Snowflake tables are based on a columnar data format, which means that each column of data is stored separately and can be accessed independently. Snowflake tables are also partitioned into micro-partitions, which are the smallest units of data storage and processing in Snowflake.
Snowflake tables are logical representations of the underlying physical data, which means that they do not correspond to any specific files or locations in the cloud storage service that Snowflake uses. Snowflake manages the physical data storage and retrieval transparently, without requiring any user intervention or configuration. Snowflake also uses various techniques, such as compression, encryption, and caching, to optimize the physical data storage and performance.
The other options are incorrect because:
- B. Snowflake tables are the physical instantiation of data loaded into Snowflake. This is false because Snowflake tables are not the physical instantiation of data loaded into Snowflake, but rather the logical representation of the underlying physical data. The physical instantiation of data loaded into Snowflake is managed by Snowflake internally, using a cloud storage service and a columnar data format.
- C. Snowflake tables require that clustering keys be defined to perform optimally. This is false because Snowflake tables do not require that clustering keys be defined to perform optimally, but rather use automatic clustering to maintain the optimal organization of data within each table. Clustering keys are optional attributes that can be specified by the user to influence the order of data within each table, based on the query patterns and filters. However, clustering keys are not mandatory, and Snowflake can perform well without them.
- D. Snowflake tables are owned by a user. This is false because Snowflake tables are not owned by a user, but rather by a schema. A schema is a logical container for one or more tables, views, or other objects in Snowflake. A schema belongs to a database, which is another logical container for one or more schemas in Snowflake. A user is an account that can access and manipulate objects in Snowflake, subject to the permissions granted by the role assigned to the user
Reference
Snowflake SnowPro Core certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Snowflake SnowPro Core exam and earn Snowflake SnowPro Core certification.
Alex Lim
Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook
